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Data Analytics Data Technician

Data Technician enters, verifies, and reports on data in databases while maintaining data quality and security documentation.

Junior Posted about 4 hours ago RemoteOK Dev
What this role involves
Gritter Francona is looking to hire a Data Technician to support a contract with the Veterans Affairs.

A Data Technician will support a delivery team to enter, report, and document data under the guidance of the team lead. This position is part of a team requiring daily interactions in a collaborate environment.

Key Responsibilities:

  • Data Entry and Processing: Entering, updating, and correcting data in databases, often handling high volumes of information
  • Data Integrity and Quality: Verifying data accuracy, performing data cleaning, and ensuring consistency across systems
  • Reporting and Analysis: Generating reports and extracting insights from data for operational use
  • Documentation and Security: Maintaining data documentation (dictionaries/models) and adhering to data security policies

Requirements

  • High school diploma or GED
  • Familiarity with databases
  • Ability to manage time and prioritization of tasks as a high level
  • Ability to communication effectively with managers and customers
  • Experience with tools such as ServiceNow, GitHub, Jira etc
Read the full description
Data Analytics Data Science Intern at iSpot.tv

Intern conducts data analysis, builds statistical and ML models, develops data pipelines, and researches innovative solutions for TV viewership and advertising measurement.

Junior Posted about 23 hours ago RemoteFirstJobs Product
What this role involves

*Immigration / Work Authorization Notice:* Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time.

iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle’s hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.

What You’ll Be Part Of

An iSpot Research Data Science Internis agreat opportunity to help iSpot push theboundaries on what is measurable in the TV viewing and advertising space. The Research Data Science team builds innovative solutions foriSpot’saudience measures, attribution and lift analytics, creative testing, and artificial intelligence implementations. After developing new methodologies and building prototypes, we work with our product and engineering teams to scale our models to satisfy the needs of brands, publishers, networks, and agencies in a constantly evolving marketing landscape.

Potential Responsibilities:

• Data Analysis and Modeling:Conduct in-depth data analysis and build advanced statistical models to extract insights from large viewing and demographic datasets.

•Machine Learning Model Development:Develop, train, and deploy state-of-the-art machine learning models to solve a variety of measurement problems.

•Data Pipeline Development:Work with our Engineering teams to design and implement efficient data pipelines to collect, process, and transform data from various sources.

•Research and Innovation:Stayup-to-datewith the latest data science techniques, tools, and technologies, and explore novel approaches to solve complex challenges.

Qualifications and Education Requirements:

●Progress toward a degree in mathematics, economics, statistics, computer science, physics, social sciences, or other quantitative discipline.

●Relevant work experience is preferred.

Preferred Skills:

●Technical understanding of machine learning, statistics, data science, and related fields

●Proficientuser in several quantitative software tools, particularly Python, R, and/or SQL; willingness to learn new tools as needed

●Expert at wrangling data and conducting thorough data analyses

●Pragmatic, team-oriented; builds rapport and respect

●Strong communication, writing, and critical thinking skills; attention to detail

Target cash compensation range: $35.00USD/hour

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency.

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

#LI-Hybrid

If you don’t feel you met every single requirement for the role, don’t rule yourself out. Please apply anyway!

iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team.

California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.

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Data Analytics Associate Data Analyst (SQL & Excel)

Analyzes environmental, health, safety and sustainability data using SQL and Excel to support enterprise decision-making.

Junior Posted about 23 hours ago Himalayas
What this role involves
Sphera is a leading global provider of enterprise software and services that enables companies to manage and optimize their environmental, health, safety and sustainability.
Read the full description
Data Analytics Data Intern, Enterprise Analytics – Fall 2026

Intern analyzes enterprise data and builds analytics solutions to support business decision-making and growth tracking.

Junior Posted about 24 hours ago Jobicy AI
What this role involves
1Password is growing. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up...
Read the full description
Data Analytics Data Analyst

Data analyst who builds data infrastructure, performs analysis, and develops BI dashboards using Snowflake, dbt, and Power BI across finance, marketing, and operations.

Junior Posted 2 days ago RemoteOK Dev
What this role involves

ABOUT US

Stio® is an omni-channel mountain brand that designs, develops and sells beautiful, functional, and innovative apparel, footwear and other accessories infused with the soul of the mountain lifestyle. With headquarters in Jackson, Wyoming, Stio draws inspiration from the surrounding Teton Range and offers product via Stio.com, catalog, B2B and its Mountain Studio® retail locations.

We live and love mountain life, and as such see ourselves as caretakers of the resources that provide it. We are proud partners of Protect Our Winters and the Conservation Alliance among many other organizations. We have a strong preferred materials platform, use Bluesign® approved textiles wherever possible, audit our supply chains for best practices, and operate our workplaces responsibly.

We think that outside is the best side and that you can’t improve on nature. It’s good for mind, body and soul, and it’s our responsibility to help enable access for all people, regardless of race, gender, beliefs, background or ability. We strive for inclusion at Stio and in our local and national communities.

YOUR ROLE

The Data Analyst is a key early member of Stio’s Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a full-stack, horizontal role: the work spans data infrastructure (ingestion, modeling, transformation) through analysis, BI development, and direct stakeholder partnership across Finance, Merchandising, Marketing, Operations, Inventory Planning, and B2B. You’ll work where the highest-leverage problems are and grow the breadth and depth of the analytics function in the process.

You’ll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly Python in addition to SQL and R. AI-assisted development is the default form factor for the team. Most of the code we ship is written collaboratively with AI agents in tools like Claude Code, then reviewed, tested, and iterated. The expectation is not that you arrive an expert in AI tooling. The expectation is that you bring strong fundamentals — the kind of data and modeling intuition that lets you catch silently wrong AI output that runs cleanly and passes tests — and that you’re genuinely curious about how this part of the craft is evolving. As an early team member, you’ll help shape how we work in this environment, not just execute someone else’s playbook.

We’re looking for an analyst who connects what they see in the data to the bigger picture and who has a strong bias for tying analysis to action. The right person doesn’t hesitate to sweep the floor (fix a broken Excel link), isn’t afraid to question the status quo (does this metric actually measure what it claims to?), and would rather quickly solve a pressing business problem with simple analysis than build a sophisticated model that collects dust. A foundation of technical skills is essential. Even more important is an eagerness to learn new things, sound judgment under ambiguity, and a desire to drive positive progress at Stio.

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics.

YOUR RESPONSIBILITIES

  • Partner directly with stakeholders across the business (Product Development, Marketing, DTC, B2B, Finance, Operations, Inventory Planning) to translate ambiguous questions into well-defined analyses, dashboards, and data products. You’ll own these end-to-end: scoping, building, validating, and communicating findings.
  • Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets. Write the tests and documentation that let both humans and AI agents downstream rely on the work.
  • Develop and maintain the semantic context, dashboards, and reports that the rest of the business uses to operate day-to-day.
  • Own metric definitions and business semantics. Drive alignment when stakeholders disagree on what a definition or number means.
  • Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues that pass tests but are semantically wrong. The majority of your output will be code you’ve collaborated on with AI agents, and you’ll bring the data intuition that makes that work trustworthy.
  • Investigate ambiguous data questions where the answer isn’t in the schema: talk to source-system owners, investigate edge cases, reconcile conflicting definitions, and improve our model of the business.
  • Help build and maintain Stio’s data infrastructure — currently Snowflake, Fivetran, dbt, GitHub, Power BI, R, and Python — and contribute to decisions about where the stack should evolve.
  • Improve data governance for both the Data & Analytics team and the business at large by creating documentation that’s actually useful and that AI agents can consume as context for future work.
  • Continuously develop your skills as the practice of data analytics evolves. This is a real part of the job, not something done on the side.

YOUR SKILLS AND EXPERIENCE

  • 3+ years of professional experience as a data analyst, analytics engineer, or similar role
  • Advanced SQL: CTEs, window functions, comfortable wrangling messy real-world data, can read and reason about query plans well enough to know when something is off
  • Hands-on experience with dbt, including writing models, tests, and documentation. You don’t need to have built a dbt project from scratch, but you should be comfortable contributing to one and know what good looks like
  • Experience with cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift, Microsoft Fabric, or similar)
  • Version control with Git/GitHub as part of your normal workflow
  • Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)
  • A real point of view on AI-assisted development for analytics work — what it’s actually good at, where it falls down, what you do to make the output trustworthy
  • History of building collaborative, trusting relationships with non-technical stakeholders
  • Comfort presenting findings to leadership verbally, in writing, and visually

PREFERRED ADDITIONAL SKILLS AND EXPERIENCE

Though not required, we would consider the following as an added plus:

  • Working knowledge of Python and/or R for analysis
  • Experience with the components of our data stack (Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, Codex)
  • Experience with some of the systems we use: NetSuite, Shopify, Google Analytics, Segment, Klaviyo
  • Professional experience at a DTC or omni-channel retail, apparel, footwear, or outdoor company
  • Experience working in a small or solo data team where you owned the work end-to-end

THE FINE PRINT

  • Must be able to work in a stationary position 50% - 75% of the work day
  • Medical, Dental Vision plans
  • Company Paid Long Term Disability
  • Employee Assistance Programs
  • 401k with Match
  • Generous paid time off policies
  • Gear test, perks and more

We provide competitive compensation packages, inclusive of base pay, incentives and benefits. The base salary range for this role is $85,000-$100,000. It would not be typical for someone to be hired at the top end of the range for the role, as actual pay will be determined based on several factors including experience, skills, and qualifications.

This job description is not necessarily an exhaustive list of all responsibilities, skills, duties, requirements, efforts, or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, we reserve the right to revise the job or to require that other or different tasks be performed. Stio is an equal opportunity employer of all qualified individuals, including minorities, BIPOC, LGBTQ+, veterans & individuals with disabilities.

Read the full description
Data Analytics Data Analyst

Builds data infrastructure, creates dashboards, and partners with stakeholders across business functions to drive analytics and insights using Snowflake, dbt, Power BI, and AI-assisted development.

Junior Posted 2 days ago RemoteOK Dev
What this role involves

ABOUT US

Stio® is an omni-channel mountain brand that designs, develops and sells beautiful, functional, and innovative apparel, footwear and other accessories infused with the soul of the mountain lifestyle. With headquarters in Jackson, Wyoming, Stio draws inspiration from the surrounding Teton Range and offers product via Stio.com, catalog, B2B and its Mountain Studio® retail locations.

We live and love mountain life, and as such see ourselves as caretakers of the resources that provide it. We are proud partners of Protect Our Winters and the Conservation Alliance among many other organizations. We have a strong preferred materials platform, use Bluesign® approved textiles wherever possible, audit our supply chains for best practices, and operate our workplaces responsibly.

We think that outside is the best side and that you can’t improve on nature. It’s good for mind, body and soul, and it’s our responsibility to help enable access for all people, regardless of race, gender, beliefs, background or ability. We strive for inclusion at Stio and in our local and national communities.

YOUR ROLE

The Data Analyst is a key early member of Stio’s Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a full-stack, horizontal role: the work spans data infrastructure (ingestion, modeling, transformation) through analysis, BI development, and direct stakeholder partnership across Finance, Merchandising, Marketing, Operations, Inventory Planning, and B2B. You’ll work where the highest-leverage problems are and grow the breadth and depth of the analytics function in the process.

You’ll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly Python in addition to SQL and R. AI-assisted development is the default form factor for the team. Most of the code we ship is written collaboratively with AI agents in tools like Claude Code, then reviewed, tested, and iterated. The expectation is not that you arrive an expert in AI tooling. The expectation is that you bring strong fundamentals — the kind of data and modeling intuition that lets you catch silently wrong AI output that runs cleanly and passes tests — and that you’re genuinely curious about how this part of the craft is evolving. As an early team member, you’ll help shape how we work in this environment, not just execute someone else’s playbook.

We’re looking for an analyst who connects what they see in the data to the bigger picture and who has a strong bias for tying analysis to action. The right person doesn’t hesitate to sweep the floor (fix a broken Excel link), isn’t afraid to question the status quo (does this metric actually measure what it claims to?), and would rather quickly solve a pressing business problem with simple analysis than build a sophisticated model that collects dust. A foundation of technical skills is essential. Even more important is an eagerness to learn new things, sound judgment under ambiguity, and a desire to drive positive progress at Stio.

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics.

YOUR RESPONSIBILITIES

  • Partner directly with stakeholders across the business (Product Development, Marketing, DTC, B2B, Finance, Operations, Inventory Planning) to translate ambiguous questions into well-defined analyses, dashboards, and data products. You’ll own these end-to-end: scoping, building, validating, and communicating findings.
  • Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets. Write the tests and documentation that let both humans and AI agents downstream rely on the work.
  • Develop and maintain the semantic context, dashboards, and reports that the rest of the business uses to operate day-to-day.
  • Own metric definitions and business semantics. Drive alignment when stakeholders disagree on what a definition or number means.
  • Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues that pass tests but are semantically wrong. The majority of your output will be code you’ve collaborated on with AI agents, and you’ll bring the data intuition that makes that work trustworthy.
  • Investigate ambiguous data questions where the answer isn’t in the schema: talk to source-system owners, investigate edge cases, reconcile conflicting definitions, and improve our model of the business.
  • Help build and maintain Stio’s data infrastructure — currently Snowflake, Fivetran, dbt, GitHub, Power BI, R, and Python — and contribute to decisions about where the stack should evolve.
  • Improve data governance for both the Data & Analytics team and the business at large by creating documentation that’s actually useful and that AI agents can consume as context for future work.
  • Continuously develop your skills as the practice of data analytics evolves. This is a real part of the job, not something done on the side.

YOUR SKILLS AND EXPERIENCE

  • 3+ years of professional experience as a data analyst, analytics engineer, or similar role
  • Advanced SQL: CTEs, window functions, comfortable wrangling messy real-world data, can read and reason about query plans well enough to know when something is off
  • Hands-on experience with dbt, including writing models, tests, and documentation. You don’t need to have built a dbt project from scratch, but you should be comfortable contributing to one and know what good looks like
  • Experience with cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift, Microsoft Fabric, or similar)
  • Version control with Git/GitHub as part of your normal workflow
  • Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)
  • A real point of view on AI-assisted development for analytics work — what it’s actually good at, where it falls down, what you do to make the output trustworthy
  • History of building collaborative, trusting relationships with non-technical stakeholders
  • Comfort presenting findings to leadership verbally, in writing, and visually

PREFERRED ADDITIONAL SKILLS AND EXPERIENCE

Though not required, we would consider the following as an added plus:

  • Working knowledge of Python and/or R for analysis
  • Experience with the components of our data stack (Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, Codex)
  • Experience with some of the systems we use: NetSuite, Shopify, Google Analytics, Segment, Klaviyo
  • Professional experience at a DTC or omni-channel retail, apparel, footwear, or outdoor company
  • Experience working in a small or solo data team where you owned the work end-to-end

THE FINE PRINT

  • Must be able to work in a stationary position 50% - 75% of the work day
  • Medical, Dental Vision plans
  • Company Paid Long Term Disability
  • Employee Assistance Programs
  • 401k with Match
  • Generous paid time off policies
  • Gear test, perks and more

We provide competitive compensation packages, inclusive of base pay, incentives and benefits. The base salary range for this role is $85,000-$100,000. It would not be typical for someone to be hired at the top end of the range for the role, as actual pay will be determined based on several factors including experience, skills, and qualifications.

This job description is not necessarily an exhaustive list of all responsibilities, skills, duties, requirements, efforts, or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, we reserve the right to revise the job or to require that other or different tasks be performed. Stio is an equal opportunity employer of all qualified individuals, including minorities, BIPOC, LGBTQ+, veterans & individuals with disabilities.

Read the full description
Data Analytics Jr. Product Analyst, Chef Marketing at CookUnity

Analyzes data on chef marketing campaigns, loyalty programs, and customer retention to support product decisions and own small experiments end-to-end.

Junior Posted 3 days ago RemoteFirstJobs Product
What this role involves

About CookUnity:

Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry’s best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul.

Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world.

If that mission has you hungry in more ways than one, you’ve found the right job posting.

About The Team:

Chef Marketing is one of the most dynamic teams within CookUnity’s BizOps organization. Our mission is to create tools, campaigns, and features that help chefs grow their business on the platform, improve their reach, boost sales, and foster loyalty among their customers — while also enhancing the end-to-end experience for our eaters.

We operate as an “internal growth engine” — collaborating closely with other Product Managers, Data, Engineering, Marketing, and the Chef community to drive measurable impact on chef earnings, customer retention, and platform revenue. We ship fast, test constantly, and always put both the Chef and the Eater at the center of our work.

Importantly, Chef Marketing also owns and contributes to customer-facing product experiences, especially around loyalty and retention. Many of the features and campaigns we build are seen and used directly by CookUnity eaters — from in-menu merchandising, to post-purchase experiences, to loyalty journeys.

Our current initiatives span a wide range:

  • Dynamic merchandising & personalization (Menu sorting, loyalty ribbons, post-purchase modules)
  • Loyalty and retention campaigns (Autopilot, Free Meals, Winback)
  • On-platform marketing tools for chefs (Campaign builders, performance insights)
  • Automated promotional mechanics (Add & Save, Autopilot, Collections)
  • CRM & segmentation frameworks
  • Analytics & reporting for chefs
  • Customer-facing product features to boost retention and lifetime value
  • Experiments to improve chef performance and customer engagement

We’re looking to expand the team with a Product Analyst who can help us move faster, deepen our data-driven decision making, and start owning small product areas and experiments end-to-end — both on the chef side and eater side of the marketplace.

The Role:

As a Product Analyst for Chef Marketing, you will play a hybrid role across Product, Analytics, and Execution.

You will:

  • Help define and track success metrics for chef-facing and customer-facing initiatives.
  • Build dashboards and reports to monitor performance and drive decision-making.
  • Partner with engineers and designers to develop new growth tools for chefs and loyalty experiences for eaters.
  • Own small features or experiments end-to-end (spec → build → launch → learn → iterate).
  • Support Product Managers with roadmap execution, backlog grooming, and prioritization.
  • Collaborate with Data Analysts and BizOps to drive insights and surface opportunities.
  • Work directly with our Chef Success team to understand chef needs and feedback.

This is an ideal role if you’re an ambitious Analyst looking to grow into Product, or a Junior PM who loves data and experimentation.

Responsibilities:

  • Define and track KPIs for Chef Marketing initiatives (retention uplift, AOV impact, chef ROI, engagement, LTV uplift, etc.).
  • Build dashboards, reports, and self-serve tools for internal stakeholders.
  • Run deep-dive analyses to uncover trends, opportunities, and pain points.
  • Support the PM team in writing clear specs and user stories.
  • Partner with engineers to QA and validate new features pre/post launch.
  • Help run A/B tests, analyze results, and generate actionable insights.
  • Assist with product discovery, user interviews, and feedback loops with Chefs and Eaters.
  • Manage small roadmap items and experiments from start to finish.
  • Contribute to the evolution of our CRM / Loyalty / Chef Growth tooling and customer experience features.

Preferred Requirements:

  • 1-3 years experience as a Product Analyst or Junior Product Manager — ideally in a consumer-facing, growth, marketplace, or e-commerce environment.
  • Strong analytical mindset — comfortable working with data and extracting actionable insights.
  • Experience with SQL and/or BI tools (Looker, Tableau, Mixpanel, Amplitude, etc.).
  • Familiarity with A/B testing methodologies and statistical analysis.
  • Excellent written and verbal communication skills — ability to explain data-driven decisions to non-technical partners.
  • Collaborative team player — able to work across Product, Engineering, Marketing, BizOps, and Chef Success.
  • Self-starter mentality, ability to manage multiple priorities and operate with autonomy.
  • Interest in growing into a full Product Manager role over time.
  • Strong analytical thinker, but also user-obsessed: can balance data with empathy.
  • Bias for action: gets things done and iterates quickly.
  • Collaborative, low-ego, and solutions-oriented.
  • Comfortable operating in a fast-paced, evolving environment.
  • Excited about CookUnity’s mission to empower chefs and delight eaters.

Minimum Requirements:

  • Experience in a marketplace, subscription, loyalty, or growth-focused product is a plus.
  • Experience with product management tools: Jira, Figma, Notion.
  • Knowledge of CRM / retention / lifecycle marketing concepts.
  • Experience working with chefs, creators, merchants, or SMBs is a plus.
  • Experience building internal tools or dashboards for non-technical users.
  • Curiosity for how chefs grow their business and how to empower them with great tools.
  • Experience contributing to customer-facing product experiences (landing pages, loyalty features, menu merchandising, post-purchase flows).

Benefits:

💸 Get paid in USD

🗺 Work remotely: design the life that you want

⛱ Enjoy 15 days of vacation each year from the start date

🎄 16 fully paid Argentinean holidays

🩺 Healthcare Benefit: Monthly stipend to use in your preferred healthcare provider

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave

🕯 Compassionate Leave: 3-5 days each time the need arises

🧘🏽‍♀️ Flexible benefits, your way: a prepaid card you can use on wellness, learning, food, and more.

🤖 AI-forward workplace: enterprise access to ChatGPT and Claude to help you work smarter and grow faster.

🧑‍🏫 Personalized English coach

If you’re interested in this role, please submit your application, and if we think you might be a fit, we’ll get in touch with you. Thank you for your time!

CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

A quick note for all candidates

We’ve recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief “proof of humanity” to confirm that we’re connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us:

  • Apply only through our official channels.All open roles are listed on our official careers page: careers.cookunity.com
  • Our recruiters are real people — and easy to verify.You can always find them on LinkedIn with verified profiles. If you’re unsure, feel free to reach out to us on our official LinkedIn Company Page.
  • We only communicate through official CookUnity channels.That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS.
  • We’ll never ask for payment or personal financial details.If anyone does, please don’t share any information and let us know right away.

If something ever feels off or you’re unsure about a message, we’d much rather you double-check with us. You can always contact us directly through any of our social media channels. We appreciate your interest in joining CookUnity — and we care about keeping your experience (and safety) as genuine as possible.

Read the full description
Data Analytics Jr. Product Analyst, Chef Marketing at CookUnity

Analyzes product data, runs experiments, and builds analytics/reporting tools to support chef growth and customer retention initiatives on the CookUnity platform.

Junior Posted 3 days ago RemoteFirstJobs Product
What this role involves

About CookUnity:

Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry’s best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul.

Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world.

If that mission has you hungry in more ways than one, you’ve found the right job posting.

About The Team:

Chef Marketing is one of the most dynamic teams within CookUnity’s BizOps organization. Our mission is to create tools, campaigns, and features that help chefs grow their business on the platform, improve their reach, boost sales, and foster loyalty among their customers — while also enhancing the end-to-end experience for our eaters.

We operate as an “internal growth engine” — collaborating closely with other Product Managers, Data, Engineering, Marketing, and the Chef community to drive measurable impact on chef earnings, customer retention, and platform revenue. We ship fast, test constantly, and always put both the Chef and the Eater at the center of our work.

Importantly, Chef Marketing also owns and contributes to customer-facing product experiences, especially around loyalty and retention. Many of the features and campaigns we build are seen and used directly by CookUnity eaters — from in-menu merchandising, to post-purchase experiences, to loyalty journeys.

Our current initiatives span a wide range:

  • Dynamic merchandising & personalization (Menu sorting, loyalty ribbons, post-purchase modules)
  • Loyalty and retention campaigns (Autopilot, Free Meals, Winback)
  • On-platform marketing tools for chefs (Campaign builders, performance insights)
  • Automated promotional mechanics (Add & Save, Autopilot, Collections)
  • CRM & segmentation frameworks
  • Analytics & reporting for chefs
  • Customer-facing product features to boost retention and lifetime value
  • Experiments to improve chef performance and customer engagement

We’re looking to expand the team with a Product Analyst who can help us move faster, deepen our data-driven decision making, and start owning small product areas and experiments end-to-end — both on the chef side and eater side of the marketplace.

The Role:

As a Product Analyst for Chef Marketing, you will play a hybrid role across Product, Analytics, and Execution.

You will:

  • Help define and track success metrics for chef-facing and customer-facing initiatives.
  • Build dashboards and reports to monitor performance and drive decision-making.
  • Partner with engineers and designers to develop new growth tools for chefs and loyalty experiences for eaters.
  • Own small features or experiments end-to-end (spec → build → launch → learn → iterate).
  • Support Product Managers with roadmap execution, backlog grooming, and prioritization.
  • Collaborate with Data Analysts and BizOps to drive insights and surface opportunities.
  • Work directly with our Chef Success team to understand chef needs and feedback.

This is an ideal role if you’re an ambitious Analyst looking to grow into Product, or a Junior PM who loves data and experimentation.

Responsibilities:

  • Define and track KPIs for Chef Marketing initiatives (retention uplift, AOV impact, chef ROI, engagement, LTV uplift, etc.).
  • Build dashboards, reports, and self-serve tools for internal stakeholders.
  • Run deep-dive analyses to uncover trends, opportunities, and pain points.
  • Support the PM team in writing clear specs and user stories.
  • Partner with engineers to QA and validate new features pre/post launch.
  • Help run A/B tests, analyze results, and generate actionable insights.
  • Assist with product discovery, user interviews, and feedback loops with Chefs and Eaters.
  • Manage small roadmap items and experiments from start to finish.
  • Contribute to the evolution of our CRM / Loyalty / Chef Growth tooling and customer experience features.

Preferred Requirements:

  • 1-3 years experience as a Product Analyst or Junior Product Manager — ideally in a consumer-facing, growth, marketplace, or e-commerce environment.
  • Strong analytical mindset — comfortable working with data and extracting actionable insights.
  • Experience with SQL and/or BI tools (Looker, Tableau, Mixpanel, Amplitude, etc.).
  • Familiarity with A/B testing methodologies and statistical analysis.
  • Excellent written and verbal communication skills — ability to explain data-driven decisions to non-technical partners.
  • Collaborative team player — able to work across Product, Engineering, Marketing, BizOps, and Chef Success.
  • Self-starter mentality, ability to manage multiple priorities and operate with autonomy.
  • Interest in growing into a full Product Manager role over time.
  • Strong analytical thinker, but also user-obsessed: can balance data with empathy.
  • Bias for action: gets things done and iterates quickly.
  • Collaborative, low-ego, and solutions-oriented.
  • Comfortable operating in a fast-paced, evolving environment.
  • Excited about CookUnity’s mission to empower chefs and delight eaters.

Minimum Requirements:

  • Experience in a marketplace, subscription, loyalty, or growth-focused product is a plus.
  • Experience with product management tools: Jira, Figma, Notion.
  • Knowledge of CRM / retention / lifecycle marketing concepts.
  • Experience working with chefs, creators, merchants, or SMBs is a plus.
  • Experience building internal tools or dashboards for non-technical users.
  • Curiosity for how chefs grow their business and how to empower them with great tools.
  • Experience contributing to customer-facing product experiences (landing pages, loyalty features, menu merchandising, post-purchase flows).

Benefits:

💸 Get paid in USD

🗺 Work remotely: design the life that you want

⛱ Enjoy 15 days of vacation each year from the start date

🎄 16 fully paid Argentinean holidays

🩺 Healthcare Benefit: Monthly stipend to use in your preferred healthcare provider

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave

🕯 Compassionate Leave: 3-5 days each time the need arises

🧘🏽‍♀️ Flexible benefits, your way: a prepaid card you can use on wellness, learning, food, and more.

🤖 AI-forward workplace: enterprise access to ChatGPT and Claude to help you work smarter and grow faster.

🧑‍🏫 Personalized English coach

If you’re interested in this role, please submit your application, and if we think you might be a fit, we’ll get in touch with you. Thank you for your time!

CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

A quick note for all candidates

We’ve recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief “proof of humanity” to confirm that we’re connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us:

  • Apply only through our official channels.All open roles are listed on our official careers page: careers.cookunity.com
  • Our recruiters are real people — and easy to verify.You can always find them on LinkedIn with verified profiles. If you’re unsure, feel free to reach out to us on our official LinkedIn Company Page.
  • We only communicate through official CookUnity channels.That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS.
  • We’ll never ask for payment or personal financial details.If anyone does, please don’t share any information and let us know right away.

If something ever feels off or you’re unsure about a message, we’d much rather you double-check with us. You can always contact us directly through any of our social media channels. We appreciate your interest in joining CookUnity — and we care about keeping your experience (and safety) as genuine as possible.

Read the full description
Data Analytics Data QA Associate

Ensures data quality and accuracy through testing, validation, and QA processes for market research and analytics datasets.

Junior Posted 4 days ago Himalayas
What this role involves
About Us:YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B.
Read the full description
Data Analytics Data Analyst at Stio®

Build data infrastructure and analytics solutions using Snowflake, dbt, and Power BI while collaborating with AI tools to support business decision-making across multiple departments.

Junior Posted 4 days ago RemoteFirstJobs Product
What this role involves

ABOUT US

Stio® is an omni-channel mountain brand that designs, develops and sells beautiful, functional, and innovative apparel, footwear and other accessories infused with the soul of the mountain lifestyle. With headquarters in Jackson, Wyoming, Stio draws inspiration from the surrounding Teton Range and offers product via Stio.com, catalog, B2B and its Mountain Studio® retail locations.

We live and love mountain life, and as such see ourselves as caretakers of the resources that provide it. We are proud partners of Protect Our Winters and the Conservation Alliance among many other organizations. We have a strong preferred materials platform, use Bluesign® approved textiles wherever possible, audit our supply chains for best practices, and operate our workplaces responsibly.

We think that outside is the best side and that you can’t improve on nature. It’s good for mind, body and soul, and it’s our responsibility to help enable access for all people, regardless of race, gender, beliefs, background or ability. We strive for inclusion at Stio and in our local and national communities.

YOUR ROLE

The Data Analyst is a key early member of Stio’s Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a full-stack, horizontal role: the work spans data infrastructure (ingestion, modeling, transformation) through analysis, BI development, and direct stakeholder partnership across Finance, Merchandising, Marketing, Operations, Inventory Planning, and B2B. You’ll work where the highest-leverage problems are and grow the breadth and depth of the analytics function in the process.

You’ll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly Python in addition to SQL and R. AI-assisted development is the default form factor for the team. Most of the code we ship is written collaboratively with AI agents in tools like Claude Code, then reviewed, tested, and iterated. The expectation is not that you arrive an expert in AI tooling. The expectation is that you bring strong fundamentals — the kind of data and modeling intuition that lets you catch silently wrong AI output that runs cleanly and passes tests — and that you’re genuinely curious about how this part of the craft is evolving. As an early team member, you’ll help shape how we work in this environment, not just execute someone else’s playbook.

We’re looking for an analyst who connects what they see in the data to the bigger picture and who has a strong bias for tying analysis to action. The right person doesn’t hesitate to sweep the floor (fix a broken Excel link), isn’t afraid to question the status quo (does this metric actually measure what it claims to?), and would rather quickly solve a pressing business problem with simple analysis than build a sophisticated model that collects dust. A foundation of technical skills is essential. Even more important is an eagerness to learn new things, sound judgment under ambiguity, and a desire to drive positive progress at Stio.

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics.

YOUR RESPONSIBILITIES

  • Partner directly with stakeholders across the business (Product Development, Marketing, DTC, B2B, Finance, Operations, Inventory Planning) to translate ambiguous questions into well-defined analyses, dashboards, and data products. You’ll own these end-to-end: scoping, building, validating, and communicating findings.
  • Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets. Write the tests and documentation that let both humans and AI agents downstream rely on the work.
  • Develop and maintain the semantic context, dashboards, and reports that the rest of the business uses to operate day-to-day.
  • Own metric definitions and business semantics. Drive alignment when stakeholders disagree on what a definition or number means.
  • Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues that pass tests but are semantically wrong. The majority of your output will be code you’ve collaborated on with AI agents, and you’ll bring the data intuition that makes that work trustworthy.
  • Investigate ambiguous data questions where the answer isn’t in the schema: talk to source-system owners, investigate edge cases, reconcile conflicting definitions, and improve our model of the business.
  • Help build and maintain Stio’s data infrastructure — currently Snowflake, Fivetran, dbt, GitHub, Power BI, R, and Python — and contribute to decisions about where the stack should evolve.
  • Improve data governance for both the Data & Analytics team and the business at large by creating documentation that’s actually useful and that AI agents can consume as context for future work.
  • Continuously develop your skills as the practice of data analytics evolves. This is a real part of the job, not something done on the side.

YOUR SKILLS AND EXPERIENCE

  • 3+ years of professional experience as a data analyst, analytics engineer, or similar role
  • Advanced SQL: CTEs, window functions, comfortable wrangling messy real-world data, can read and reason about query plans well enough to know when something is off
  • Hands-on experience with dbt, including writing models, tests, and documentation. You don’t need to have built a dbt project from scratch, but you should be comfortable contributing to one and know what good looks like
  • Experience with cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift, Microsoft Fabric, or similar)
  • Version control with Git/GitHub as part of your normal workflow
  • Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)
  • A real point of view on AI-assisted development for analytics work — what it’s actually good at, where it falls down, what you do to make the output trustworthy
  • History of building collaborative, trusting relationships with non-technical stakeholders
  • Comfort presenting findings to leadership verbally, in writing, and visually

PREFERRED ADDITIONAL SKILLS AND EXPERIENCE

Though not required, we would consider the following as an added plus:

  • Working knowledge of Python and/or R for analysis
  • Experience with the components of our data stack (Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, Codex)
  • Experience with some of the systems we use: NetSuite, Shopify, Google Analytics, Segment, Klaviyo
  • Professional experience at a DTC or omni-channel retail, apparel, footwear, or outdoor company
  • Experience working in a small or solo data team where you owned the work end-to-end

THE FINE PRINT

  • Must be able to work in a stationary position 50% - 75% of the work day
  • Medical, Dental Vision plans
  • Company Paid Long Term Disability
  • Employee Assistance Programs
  • 401k with Match
  • Generous paid time off policies
  • Gear test, perks and more

We provide competitive compensation packages, inclusive of base pay, incentives and benefits. The base salary range for this role is $85,000-$100,000. It would not be typical for someone to be hired at the top end of the range for the role, as actual pay will be determined based on several factors including experience, skills, and qualifications.

This job description is not necessarily an exhaustive list of all responsibilities, skills, duties, requirements, efforts, or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, we reserve the right to revise the job or to require that other or different tasks be performed. Stio is an equal opportunity employer of all qualified individuals, including minorities, BIPOC, LGBTQ+, veterans & individuals with disabilities.

Read the full description
Data Analytics Research Operations Associate at AlphaSense

Manages financial data quality, conducts analysis, and develops operational tools for AlphaSense's Financial Data products team.

Junior Posted 5 days ago RemoteFirstJobs Product
What this role involves

About AlphaSense:

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

About the Team:

The Research Operations team is critical to the evolution and reliability of AlphaSense’s Financial Data products. By focusing on operational excellence, data quality, and technical administration, the team directly drives product utility and client trust.

About the Role:

The Research Operations Associate will play a central role in building, maintaining, and evolving our Financial Data content set within our Financial Data team. In this role, you won’t just manage data — you’ll be an integral part of operationalizing our strategy, conducting intensive analysis, and developing the tools that drive team success. This role sits at the intersection of capital markets and data, offering hands-on exposure to both the mechanics of financial markets and the systems that power them. It is an excellent launchpad for someone looking to grow their operational skillset within the finance industry.

Who You Are:

  • Education & Market Knowledge: Bachelor’s degree in Finance, Economics, Data Analytics, Mathematics, or a related quantitative field.
  • Experience Level: 1+ years of experience in finance or a related analytical field, or equivalent exposure through internships and coursework in statistics, financial accounting, or business analytics.
  • Advanced Excel & Data Tools: Proficiency in Excel (VLOOKUPs/XLOOKUPs, Index-Match, Pivot Tables, Data Validation, basic Macro/VBA), SQL for database querying, and Python (Pandas) for automating repetitive data tasks.Visualization & Financial Platforms: Basic experience with Tableau or Power BI; familiarity with Bloomberg, FactSet, or S&P Capital IQ (including through university lab access) is a plus.
  • Data Integrity & Attention to Detail: A perfectionist mindset toward data entry, maintenance, and accuracy — in operations, the small things are the big things.
  • Documentation, Organization & Time Management: Ability to write clear Standard Operating Procedures (SOPs) for repeatable workflows, while managing recurring deliverables (e.g., weekly reports) alongside ad-hoc requests from senior analysts; must be able to work EST hours.

What You’ll Do:

  • Produce Weekly Schedules: Streamline the production of weekly schedules to ensure the Global Equity Research team is positioned for high-velocity output
  • Drive Research Prioritization: Develop and refine data-driven reporting frameworks for predictive models, enabling the team to strategically prioritize workflow and resource allocation.
  • Identify Growth Opportunities: Conduct rigorous gap analyses to pinpoint areas for coverage expansion.
  • Advance Financial Data Content: Audit, evaluate and remediate vendor data questions and entity related matters impacting the flow of Financial Data content.
  • Lifecycle Event Management: Serve as a subject matter expert on coverage lifecycle events, facilitating seamless transitions during corporate actions such as acquisitions, delistings, and restructurings.
  • Workflow Optimization: Analyze existing workflows and technical documentation to enhance departmental scalability and efficiency.
  • Quantify Impact: Synthesize internal KPIs and client engagement metrics into reports that provide visibility into team performance and market reach.
  • Tech Stack Administration: Manage user access and permissions across the Research team’s suite of proprietary tools, ensuring secure and uninterrupted workflow.

For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below.

You may also be offered a performance-based bonus, equity, and a generous benefits program.

Base Compensation Range

$51,000—$70,000 USD

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

  • AlphaSense never asks candidates to pay for job applications, equipment, or training.
  • All official communications will come from an @alpha-sense.com email address.
  • If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Read the full description
Data Analytics Research Operations Associate at AlphaSense

Manages financial data quality, conducts analysis, and develops operational tools for AlphaSense's Financial Data products team.

Junior Posted 5 days ago RemoteFirstJobs Product
What this role involves

About AlphaSense:

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

About the Team:

The Research Operations team is critical to the evolution and reliability of AlphaSense’s Financial Data products. By focusing on operational excellence, data quality, and technical administration, the team directly drives product utility and client trust.

About the Role:

The Research Operations Associate will play a central role in building, maintaining, and evolving our Financial Data content set within our Financial Data team. In this role, you won’t just manage data — you’ll be an integral part of operationalizing our strategy, conducting intensive analysis, and developing the tools that drive team success. This role sits at the intersection of capital markets and data, offering hands-on exposure to both the mechanics of financial markets and the systems that power them. It is an excellent launchpad for someone looking to grow their operational skillset within the finance industry.

Who You Are:

  • Education & Market Knowledge: Bachelor’s degree in Finance, Economics, Data Analytics, Mathematics, or a related quantitative field.
  • Experience Level: 1+ years of experience in finance or a related analytical field, or equivalent exposure through internships and coursework in statistics, financial accounting, or business analytics.
  • Advanced Excel & Data Tools: Proficiency in Excel (VLOOKUPs/XLOOKUPs, Index-Match, Pivot Tables, Data Validation, basic Macro/VBA), SQL for database querying, and Python (Pandas) for automating repetitive data tasks.Visualization & Financial Platforms: Basic experience with Tableau or Power BI; familiarity with Bloomberg, FactSet, or S&P Capital IQ (including through university lab access) is a plus.
  • Data Integrity & Attention to Detail: A perfectionist mindset toward data entry, maintenance, and accuracy — in operations, the small things are the big things.
  • Documentation, Organization & Time Management: Ability to write clear Standard Operating Procedures (SOPs) for repeatable workflows, while managing recurring deliverables (e.g., weekly reports) alongside ad-hoc requests from senior analysts; must be able to work EST hours.

What You’ll Do:

  • Produce Weekly Schedules: Streamline the production of weekly schedules to ensure the Global Equity Research team is positioned for high-velocity output
  • Drive Research Prioritization: Develop and refine data-driven reporting frameworks for predictive models, enabling the team to strategically prioritize workflow and resource allocation.
  • Identify Growth Opportunities: Conduct rigorous gap analyses to pinpoint areas for coverage expansion.
  • Advance Financial Data Content: Audit, evaluate and remediate vendor data questions and entity related matters impacting the flow of Financial Data content.
  • Lifecycle Event Management: Serve as a subject matter expert on coverage lifecycle events, facilitating seamless transitions during corporate actions such as acquisitions, delistings, and restructurings.
  • Workflow Optimization: Analyze existing workflows and technical documentation to enhance departmental scalability and efficiency.
  • Quantify Impact: Synthesize internal KPIs and client engagement metrics into reports that provide visibility into team performance and market reach.
  • Tech Stack Administration: Manage user access and permissions across the Research team’s suite of proprietary tools, ensuring secure and uninterrupted workflow.

For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below.

You may also be offered a performance-based bonus, equity, and a generous benefits program.

Base Compensation Range

$51,000—$70,000 USD

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

  • AlphaSense never asks candidates to pay for job applications, equipment, or training.
  • All official communications will come from an @alpha-sense.com email address.
  • If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Read the full description
Data Analytics Data Analyst

Build data infrastructure and dashboards using Snowflake, dbt, and Power BI while partnering across Finance, Marketing, and Operations to drive data-informed business decisions.

Junior Posted 5 days ago RemoteOK Dev
What this role involves
About Us

Stio® is an omni-channel mountain brand that designs, develops and sells beautiful, functional, and innovative apparel, footwear and other accessories infused with the soul of the mountain lifestyle. With headquarters in Jackson, Wyoming, Stio draws inspiration from the surrounding Teton Range and offers product via Stio.com, catalog, B2B and its Mountain Studio® retail locations.

We live and love mountain life, and as such see ourselves as caretakers of the resources that provide it. We are proud partners of Protect Our Winters and the Conservation Alliance among many other organizations. We have a strong preferred materials platform, use Bluesign® approved textiles wherever possible, audit our supply chains for best practices, and operate our workplaces responsibly.

We think that outside is the best side and that you can't improve on nature. It's good for mind, body and soul, and it's our responsibility to help enable access for all people, regardless of race, gender, beliefs, background or ability. We strive for inclusion at Stio and in our local and national communities.

YOUR ROLE

The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a full-stack, horizontal role: the work spans data infrastructure (ingestion, modeling, transformation) through analysis, BI development, and direct stakeholder partnership across Finance, Merchandising, Marketing, Operations, Inventory Planning, and B2B. You'll work where the highest-leverage problems are and grow the breadth and depth of the analytics function in the process.

You'll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly Python in addition to SQL and R. AI-assisted development is the default form factor for the team. Most of the code we ship is written collaboratively with AI agents in tools like Claude Code, then reviewed, tested, and iterated. The expectation is not that you arrive an expert in AI tooling. The expectation is that you bring strong fundamentals — the kind of data and modeling intuition that lets you catch silently wrong AI output that runs cleanly and passes tests — and that you're genuinely curious about how this part of the craft is evolving. As an early team member, you'll help shape how we work in this environment, not just execute someone else's playbook.

We're looking for an analyst who connects what they see in the data to the bigger picture and who has a strong bias for tying analysis to action. The right person doesn't hesitate to sweep the floor (fix a broken Excel link), isn't afraid to question the status quo (does this metric actually measure what it claims to?), and would rather quickly solve a pressing business problem with simple analysis than build a sophisticated model that collects dust. A foundation of technical skills is essential. Even more important is an eagerness to learn new things, sound judgment under ambiguity, and a desire to drive positive progress at Stio.

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics.

Your Responsibilities

  • Partner directly with stakeholders across the business (Product Development, Marketing, DTC, B2B, Finance, Operations, Inventory Planning) to translate ambiguous questions into well-defined analyses, dashboards, and data products. You'll own these end-to-end: scoping, building, validating, and communicating findings
  • Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets. Write the tests and documentation that let both humans and AI agents downstream rely on the work
  • Develop and maintain the semantic context, dashboards, and reports that the rest of the business uses to operate day-to-day
  • Own metric definitions and business semantics. Drive alignment when stakeholders disagree on what a definition or number means
  • Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues that pass tests but are semantically wrong. The majority of your output will be code you've collaborated on with AI agents, and you'll bring the data intuition that makes that work trustworthy
  • Investigate ambiguous data questions where the answer isn't in the schema: talk to source-system owners, investigate edge cases, reconcile conflicting definitions, and improve our model of the business
  • Help build and maintain Stio's data infrastructure — currently Snowflake, Fivetran, dbt, GitHub, Power BI, R, and Python — and contribute to decisions about where the stack should evolve
  • Improve data governance for both the Data & Analytics team and the business at large by creating documentation that's actually useful and that AI agents can consume as context for future work
  • Continuously develop your skills as the practice of data analytics evolves. This is a real part of the job, not something done on the side

Your Skills And Experience

  • 3+ years of professional experience as a data analyst, analytics engineer, or similar role
  • Advanced SQL: CTEs, window functions, comfortable wrangling messy real-world data, can read and reason about query plans well enough to know when something is off
  • Hands-on experience with dbt, including writing models, tests, and documentation. You don't need to have built a dbt project from scratch, but you should be comfortable contributing to one and know what good looks like
  • Experience with cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift, Microsoft Fabric, or similar)
  • Version control with Git/GitHub as part of your normal workflow
  • Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)
  • A real point of view on AI-assisted development for analytics work — what it's actually good at, where it falls down, what you do to make the output trustworthy
  • History of building collaborative, trusting relationships with non-technical stakeholders
  • Comfort presenting findings to leadership verbally, in writing, and visually

Preferred Additional Skills And Experience

Though not required, we would consider the following as an added plus:

  • Working knowledge of Python and/or R for analysis
  • Experience with the components of our data stack (Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, Codex)
  • Experience with some of the systems we use: NetSuite, Shopify, Google Analytics, Segment, Klaviyo
  • Professional experience at a DTC or omni-channel retail, apparel, footwear, or outdoor company
  • Experience working in a small or solo data team where you owned the work end-to-end

THE FINE PRINT

  • Must be able to work in a stationary position 50% - 75% of the work day
  • Medical, Dental Vision plans
  • Company Paid Long Term Disability
  • Employee Assistance Programs
  • 401k with Match
  • Generous paid time off policies
  • Gear test, perks and more

We provide competitive compensation packages, inclusive of base pay, incentives and benefits. The base salary range for this role is $85,000-$100,000. It would not be typical for someone to be hired at the top end of the range for the role, as actual pay will be determined based on several factors including experience, skills, and qualifications.

This job description is not necessarily an exhaustive list of all responsibilities, skills, duties, requirements, efforts, or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, we reserve the right to revise the job or to require that other or different tasks be performed. Stio is an equal opportunity employer of all qualified individuals, including minorities, BIPOC, LGBTQ+, veterans & individuals with disabilities.
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Data Analytics Data Analyst

Builds data infrastructure, transforms and models data in Snowflake/dbt, and develops BI dashboards in Power BI to support cross-functional business decisions.

Junior Posted 5 days ago RemoteOK Dev
What this role involves
About Us

Stio® is an omni-channel mountain brand that designs, develops and sells beautiful, functional, and innovative apparel, footwear and other accessories infused with the soul of the mountain lifestyle. With headquarters in Jackson, Wyoming, Stio draws inspiration from the surrounding Teton Range and offers product via Stio.com, catalog, B2B and its Mountain Studio® retail locations.

We live and love mountain life, and as such see ourselves as caretakers of the resources that provide it. We are proud partners of Protect Our Winters and the Conservation Alliance among many other organizations. We have a strong preferred materials platform, use Bluesign® approved textiles wherever possible, audit our supply chains for best practices, and operate our workplaces responsibly.

We think that outside is the best side and that you can't improve on nature. It's good for mind, body and soul, and it's our responsibility to help enable access for all people, regardless of race, gender, beliefs, background or ability. We strive for inclusion at Stio and in our local and national communities.

YOUR ROLE

The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a full-stack, horizontal role: the work spans data infrastructure (ingestion, modeling, transformation) through analysis, BI development, and direct stakeholder partnership across Finance, Merchandising, Marketing, Operations, Inventory Planning, and B2B. You'll work where the highest-leverage problems are and grow the breadth and depth of the analytics function in the process.

You'll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly Python in addition to SQL and R. AI-assisted development is the default form factor for the team. Most of the code we ship is written collaboratively with AI agents in tools like Claude Code, then reviewed, tested, and iterated. The expectation is not that you arrive an expert in AI tooling. The expectation is that you bring strong fundamentals — the kind of data and modeling intuition that lets you catch silently wrong AI output that runs cleanly and passes tests — and that you're genuinely curious about how this part of the craft is evolving. As an early team member, you'll help shape how we work in this environment, not just execute someone else's playbook.

We're looking for an analyst who connects what they see in the data to the bigger picture and who has a strong bias for tying analysis to action. The right person doesn't hesitate to sweep the floor (fix a broken Excel link), isn't afraid to question the status quo (does this metric actually measure what it claims to?), and would rather quickly solve a pressing business problem with simple analysis than build a sophisticated model that collects dust. A foundation of technical skills is essential. Even more important is an eagerness to learn new things, sound judgment under ambiguity, and a desire to drive positive progress at Stio.

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics.

Your Responsibilities

  • Partner directly with stakeholders across the business (Product Development, Marketing, DTC, B2B, Finance, Operations, Inventory Planning) to translate ambiguous questions into well-defined analyses, dashboards, and data products. You'll own these end-to-end: scoping, building, validating, and communicating findings
  • Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets. Write the tests and documentation that let both humans and AI agents downstream rely on the work
  • Develop and maintain the semantic context, dashboards, and reports that the rest of the business uses to operate day-to-day
  • Own metric definitions and business semantics. Drive alignment when stakeholders disagree on what a definition or number means
  • Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues that pass tests but are semantically wrong. The majority of your output will be code you've collaborated on with AI agents, and you'll bring the data intuition that makes that work trustworthy
  • Investigate ambiguous data questions where the answer isn't in the schema: talk to source-system owners, investigate edge cases, reconcile conflicting definitions, and improve our model of the business
  • Help build and maintain Stio's data infrastructure — currently Snowflake, Fivetran, dbt, GitHub, Power BI, R, and Python — and contribute to decisions about where the stack should evolve
  • Improve data governance for both the Data & Analytics team and the business at large by creating documentation that's actually useful and that AI agents can consume as context for future work
  • Continuously develop your skills as the practice of data analytics evolves. This is a real part of the job, not something done on the side

Your Skills And Experience

  • 3+ years of professional experience as a data analyst, analytics engineer, or similar role
  • Advanced SQL: CTEs, window functions, comfortable wrangling messy real-world data, can read and reason about query plans well enough to know when something is off
  • Hands-on experience with dbt, including writing models, tests, and documentation. You don't need to have built a dbt project from scratch, but you should be comfortable contributing to one and know what good looks like
  • Experience with cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift, Microsoft Fabric, or similar)
  • Version control with Git/GitHub as part of your normal workflow
  • Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)
  • A real point of view on AI-assisted development for analytics work — what it's actually good at, where it falls down, what you do to make the output trustworthy
  • History of building collaborative, trusting relationships with non-technical stakeholders
  • Comfort presenting findings to leadership verbally, in writing, and visually

Preferred Additional Skills And Experience

Though not required, we would consider the following as an added plus:

  • Working knowledge of Python and/or R for analysis
  • Experience with the components of our data stack (Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, Codex)
  • Experience with some of the systems we use: NetSuite, Shopify, Google Analytics, Segment, Klaviyo
  • Professional experience at a DTC or omni-channel retail, apparel, footwear, or outdoor company
  • Experience working in a small or solo data team where you owned the work end-to-end

THE FINE PRINT

  • Must be able to work in a stationary position 50% - 75% of the work day
  • Medical, Dental Vision plans
  • Company Paid Long Term Disability
  • Employee Assistance Programs
  • 401k with Match
  • Generous paid time off policies
  • Gear test, perks and more

We provide competitive compensation packages, inclusive of base pay, incentives and benefits. The base salary range for this role is $85,000-$100,000. It would not be typical for someone to be hired at the top end of the range for the role, as actual pay will be determined based on several factors including experience, skills, and qualifications.

This job description is not necessarily an exhaustive list of all responsibilities, skills, duties, requirements, efforts, or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, we reserve the right to revise the job or to require that other or different tasks be performed. Stio is an equal opportunity employer of all qualified individuals, including minorities, BIPOC, LGBTQ+, veterans & individuals with disabilities.
Read the full description
Data Analytics Data Analyst

Analyze data to uncover trends and patterns, create dashboards and reports, and communicate insights to cross-functional teams.

Junior Remote Posted 9 days ago RemoteOK Dev
What this role involves

Job Title: Data Analyst


Location: Remote


About Us:

At Diptyque Paris, we believe that behind every number and dataset lies a story—one that can inspire smarter decisions and drive meaningful change. We’re passionate about turning complex data into clear insights that help our team and clients succeed.


The Role:

We’re looking for someone who loves digging into data, uncovering patterns, and translating numbers into stories that everyone can understand. As a Data Analyst, you’ll be a vital part of our team, helping us make informed decisions that shape our future.


What You'll Do:

- Dive into our data to find trends, opportunities, and areas for improvement

- Collaborate with different teams to understand their needs and provide relevant insights

- Develop reports and dashboards that make complex information easy to grasp

- Ensure data quality and integrity through careful analysis and validation

- Present your findings in a way that’s engaging and accessible to all levels of the organization

- Continuously look for ways to improve our data collection and analysis processes


What We’re Looking For:

- A curious mind with a knack for problem-solving

- Strong skills in Excel, SQL, or other data analysis tools

- Experience with data visualization platforms like Tableau, Power BI, or similar

- Excellent communication skills—you can tell a story with data

- An eye for detail and a passion for accuracy

- A collaborative spirit who enjoys working with diverse teams


Why Join Us:

- Be part of a supportive and innovative environment

- Make a real impact with your work

- Grow your skills with ongoing learning opportunities

- Enjoy a flexible work environment that values your well-being


If you’re excited about turning data into insights and making a difference, we’d love to hear from you. Join us and help shape the future with your skills and curiosity!

Read the full description
Data Analytics Data Analyst

Analyzes data to uncover trends and patterns, creates dashboards and reports, and communicates insights to stakeholders across the organization.

Junior Remote Posted 9 days ago RemoteOK Dev
What this role involves

Job Title: Data Analyst


Location: Remote


About Us:

At Diptyque Paris, we believe that behind every number and dataset lies a story—one that can inspire smarter decisions and drive meaningful change. We’re passionate about turning complex data into clear insights that help our team and clients succeed.


The Role:

We’re looking for someone who loves digging into data, uncovering patterns, and translating numbers into stories that everyone can understand. As a Data Analyst, you’ll be a vital part of our team, helping us make informed decisions that shape our future.


What You'll Do:

- Dive into our data to find trends, opportunities, and areas for improvement

- Collaborate with different teams to understand their needs and provide relevant insights

- Develop reports and dashboards that make complex information easy to grasp

- Ensure data quality and integrity through careful analysis and validation

- Present your findings in a way that’s engaging and accessible to all levels of the organization

- Continuously look for ways to improve our data collection and analysis processes


What We’re Looking For:

- A curious mind with a knack for problem-solving

- Strong skills in Excel, SQL, or other data analysis tools

- Experience with data visualization platforms like Tableau, Power BI, or similar

- Excellent communication skills—you can tell a story with data

- An eye for detail and a passion for accuracy

- A collaborative spirit who enjoys working with diverse teams


Why Join Us:

- Be part of a supportive and innovative environment

- Make a real impact with your work

- Grow your skills with ongoing learning opportunities

- Enjoy a flexible work environment that values your well-being


If you’re excited about turning data into insights and making a difference, we’d love to hear from you. Join us and help shape the future with your skills and curiosity!

Read the full description
Data Analytics Data Analyst

Analyzes company data to uncover trends and patterns, creates dashboards and reports, and communicates insights to stakeholders across the organization.

Junior Remote Posted 9 days ago RemoteOK Dev
What this role involves

Job Title: Data Analyst


Location: Remote


About Us:

At Diptyque Paris, we believe that behind every number and dataset lies a story—one that can inspire smarter decisions and drive meaningful change. We’re passionate about turning complex data into clear insights that help our team and clients succeed.


The Role:

We’re looking for someone who loves digging into data, uncovering patterns, and translating numbers into stories that everyone can understand. As a Data Analyst, you’ll be a vital part of our team, helping us make informed decisions that shape our future.


What You'll Do:

- Dive into our data to find trends, opportunities, and areas for improvement

- Collaborate with different teams to understand their needs and provide relevant insights

- Develop reports and dashboards that make complex information easy to grasp

- Ensure data quality and integrity through careful analysis and validation

- Present your findings in a way that’s engaging and accessible to all levels of the organization

- Continuously look for ways to improve our data collection and analysis processes


What We’re Looking For:

- A curious mind with a knack for problem-solving

- Strong skills in Excel, SQL, or other data analysis tools

- Experience with data visualization platforms like Tableau, Power BI, or similar

- Excellent communication skills—you can tell a story with data

- An eye for detail and a passion for accuracy

- A collaborative spirit who enjoys working with diverse teams


Why Join Us:

- Be part of a supportive and innovative environment

- Make a real impact with your work

- Grow your skills with ongoing learning opportunities

- Enjoy a flexible work environment that values your well-being


If you’re excited about turning data into insights and making a difference, we’d love to hear from you. Join us and help shape the future with your skills and curiosity!

Read the full description
Data Analytics Data Entry JO

Inputs, verifies, and maintains data accuracy in databases while generating reports and assisting with data analysis tasks.

Junior Posted 12 days ago RemoteOK Dev
What this role involves
We are looking for a detail-oriented Data Entry Professional to accurately input and maintain data in our systems. The ideal candidate will have fast typing skills, excellent attention to detail, and the ability to handle confidential information. If you are organized, reliable, and have a keen eye for accuracy, we’d love to hear from you!

Roles & Responsibilities

  • Input data from source documents accurately and efficiently.
  • Verify data accuracy by cross-checking information.
  • Maintain and update databases and records.
  • Identify and correct data discrepancies.
  • Organize and store documents digitally and securely.
  • Generate reports and retrieve data as requested.
  • Assist in data analysis and reporting tasks.
  • Maintain confidentiality of sensitive information.
  • Collaborate with team members to ensure data consistency.
  • Perform regular backups to secure data integrity.


Requirements & Skills

  • Proven experience as a Data Entry Professional or similar role.
  • Excellent typing speed and accuracy.
  • Strong attention to detail and data accuracy.
  • Proficiency in Microsoft Office Suite (Excel, Word).
  • Familiarity with data entry software and databases.
  • Good organizational and time management skills.
  • High school diploma or equivalent is required.
  • Ability to handle confidential information with integrity.
  • By applying to this position, we’ll create your Simera Professional Key (SPK) — a unique key that helps you connect with employers, stand out, and secure the right match.


If you'd also like to apply to multiple jobs that match your experience, create your account and complete your profile to get discovered by hundreds of employers around the world.

Create Your Account
Read the full description
Data Analytics Data Entry PH

Input, verify, and maintain data in company systems while identifying discrepancies and generating reports.

Junior Posted 12 days ago RemoteOK Dev
What this role involves
We are looking for a detail-oriented Data Entry Professional to accurately input and maintain data in our systems. The ideal candidate will have fast typing skills, excellent attention to detail, and the ability to handle confidential information. If you are organized, reliable, and have a keen eye for accuracy, we’d love to hear from you!

Roles & Responsibilities

  • Input data from source documents accurately and efficiently.
  • Verify data accuracy by cross-checking information.
  • Maintain and update databases and records.
  • Identify and correct data discrepancies.
  • Organize and store documents digitally and securely.
  • Generate reports and retrieve data as requested.
  • Assist in data analysis and reporting tasks.
  • Maintain confidentiality of sensitive information.
  • Collaborate with team members to ensure data consistency.
  • Perform regular backups to secure data integrity.


Requirements & Skills

  • Proven experience as a Data Entry Professional or similar role.
  • Excellent typing speed and accuracy.
  • Strong attention to detail and data accuracy.
  • Proficiency in Microsoft Office Suite (Excel, Word).
  • Familiarity with data entry software and databases.
  • Good organizational and time management skills.
  • High school diploma or equivalent is required.
  • Ability to handle confidential information with integrity.
  • By applying to this position, we’ll create your Simera Professional Key (SPK) — a unique key that helps you connect with employers, stand out, and secure the right match.


If you'd also like to apply to multiple jobs that match your experience, create your account and complete your profile to get discovered by hundreds of employers around the world.

Create Your Account
Read the full description
Data Analytics Property Analyst at PropLogix

Researches property records and compiles detailed real estate reports using proprietary software, data entry, and client coordination.

Junior Remote Posted 13 days ago RemoteFirstJobs Product
What this role involves

Do you enjoy digging for answers online? Do friends say you’re the most organized person they know? Do you like the variety of back office work and talking to people? Turn those strengths into a career! Join us as a Property Analyst, where you’ll transform online research into polished reports for U.S. real estate clients - all from the comfort of your home!

We are looking to hire for our next paid training class that starts on Tuesday, July 14th with the schedule of 8:30am-5pm EST.

What to expect with the interview process? If you meet the minimum requirements, including the location requirement, you will be invited to take a 10-minute assessment online that is a small sample of the type of work we do. This helps to give you a preview of the job, while also demonstrating if it is a good fit. If you pass the assessment, you will be invited to a live video interview around 45-60 minutes.

Essential Department-Specific Functions

  • Summarize and compile reports using our proprietary software
  • Utilize our proprietary production environment for product fulfillment
  • Coordinate with our internal Client Experience team to ensure client needs are met
  • Search property management records
  • Make multiple phone calls and send emails with requested orders to ensure we meet our client’s deadlines
  • Examine documents for completeness, accuracy, or conformance to product standards
  • Use computers to enter, access, or retrieve data
  • Maintain detailed records, reports, and files
  • Use library or online Internet research techniques
  • Data entry
  • Write business correspondence
  • Understand Homeowners’ Associations and the Florida Estoppel Statute (training will be provided)
  • Utilize Adobe Acrobat to compile and edit reports
  • Maintain productivity and quality KPIs, as assigned based on training milestones
  • Other duties, as assigned

When will you work?

This is a full-time remote position, and typical hours of work and days are Monday through Friday, 8:30 a.m. to 5 p.m. Eastern Time. Occasional evening may be required as job duties demand. Applicable overtime laws will apply.

Qualifications and Education Requirements

  • At least 2 years of work experience, such as customer service or research
  • High School or equivalent / GED
  • We are only setup to hire remotely in certain states - FL, TX, AL, TN, NC, GA, IL, MI, ND, VA and the schedule is EST, regardless of location

Preferred Skills

  • Extremely preferred to have worked in the title industry and be familiar with terminology such as municipal lien searches, estoppels, surveys, release tracking, etc.

  • Critical Thinking / problem solving

  • Excellent time management

  • Proven technical skills

  • Excellent and precise data entry and typing skills

  • Excellent verbal and written communication skills

  • Proficient in Google, Adobe, and other related computer software

  • Good organizational skills and attention to detail

  • Ability to keep the information confidential

  • Ability to work independently

  • Friendly and helpful demeanor

  • Computer Savvy

Insurance

  • Multiple health, dental & vision insurance plans to choose from
  • FREE Employer-Paid Life Insurance, optional voluntary life for spouse, children, family
  • FREE Employer-Paid STD
  • Other voluntary options include: LTD, AD&D, Critical Illness, and other supplemental options
  • Employee Assistance Program

Financial

  • 401(k) match program
  • After successful completion of training and meeting minimum performance standards, there will be monthly bonus potential

Time Off

  • Minimum 15 PTO days (prorated based on first year’s start date), then more for each year of service
  • 8 paid holidays

Equal Employment:

It is the established policy of the Company, to provide equal employment opportunities to all qualified persons and to administer all aspects and conditions of employment without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical or mental disability, medical condition, marital status, ethnicity, genetics, alienage or any other protected classification, in accordance with applicable federal, state, and local laws.

E-Verify Employer: PropLogix participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Notice to external Recruiters and Recruitment Agencies:

PropLogix does not accept unsolicited headhunter and agency resumes. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to any employee. PropLogix and any of our subsidiaries will not pay fees to any third-party agency or company.

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