Remote Product Data Analyst Jobs
Remote Product Data Analyst jobs are open across the U.S. at remote-first firms and distributed teams in sectors like software, fintech, healthcare tech, and e-commerce. Employers hiring remotely right now include ServiceNow, BILL, and Centene. See the openings below and apply to the ones that match your experience.
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Showing 5 of 23+ Remote Product Data Analyst jobs
Join an amazing team that is consistently recognized for our achievements and culture, including our most recent Forbes award of being one of America's Best Midsize Employers for 2026!
Position Summary:
Under close supervision and guidance, the Data Analyst I, Product supports analysis of personal lines product performance and competitive position. The analyst gathers, validates, and organizes internal and external data; prepares reports and visualizations; and shares findings with Product and cross-functional partners. The role applies foundational analytical and statistical methods to defined business questions and contributes to product and process improvement work.
Geo-Salary Information:
An in-person interview may be required during the hiring process
State specific pay scales for this role are as follows:
$63,410 to $117,348 (NJ, NY, WA, HI, AK, MD, CT, RI, MA)
$57,646 to $106,680 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)
$51,881 to $96,012 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV)
In CA: Typical hiring range is $81,341 to $112,974
The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.
Essential Job Functions:
- Gather, organize, and prepare data from internal and external sources for analysis; perform basic checks for completeness and accuracy and flag data issues.
- Analyze product and competitive data to identify trends, differences, and potential issues or opportunities, with guidance from senior team members or Product leaders.
- Support recurring and ad hoc analyses related to products’ competitive position.
- Prepare and maintain reports, charts, spreadsheets, and basic dashboards to communicate analysis results.
- Assist with data ingestion, data cleanup, and documentation for competitive data used in personal lines analysis.
- Use established SQL queries, analytical code, and reporting processes; make routine updates and seek review for material changes.
- Document methods, assumptions, and findings so analyses can be understood and repeated.
- Work with Product and other partners to clarify data needs and provide analysis support.
- Contribute to small, defined-scope projects and process improvements; escalate questions, data-quality concerns, and unexpected results.
- Present findings to colleagues and managers as appropriate, with support in developing recommendations.
- Perform other related duties as assigned.
Qualifications:
Education:
Minimum:
- Bachelor’s degree in an analytical field such as mathematics, statistics, economics, data science, engineering, finance, or a related discipline preferred, or an equivalent combination of education and experience
Experience:
Minimum:
- 1+ year of experience in data analysis, product development, competitive intelligence, insurance, financial services, or a related field preferred; equivalent education or experience may be considered.
Preferred:
- Property and casualty insurance or personal lines experience is a plus.
- Experience using SQL, Excel, or similar tools to organize and analyze data is preferred.
Knowledge and Skills:
Minimum:
- Foundational analytical and statistical skills, including the ability to interpret results and recognize when findings need further review.
- Proficient in SQL and Microsoft Excel; exposure to Python, R, dbt, Git/GitHub, or business intelligence and reporting tools is a plus.
- Ability to work with structured data, follow established procedures, and perform basic data-quality checks.
- Strong attention to detail, problem-solving skills, and willingness to learn new tools and business processes.
- Clear written and verbal communication skills, including the ability to explain analysis in a straightforward way.
- Ability to collaborate effectively and manage assigned tasks with guidance.
About the Company:
Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life.
We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals.
Learn more about us here: https://www.mercuryinsurance.com/about/careers
- Competitive compensation
- Flexibility to work from anywhere in the United States for most positions
- Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)
- Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
- Medical, dental, vision, life, and pet insurance
- 401 (k) retirement savings plan with company match
- Engaging work environment
- Promotional opportunities
- Education assistance
- Professional and personal development opportunities
- Company recognition program
- Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more
Join an amazing team that is consistently recognized for our achievements and culture, including our most recent Forbes award of being one of America's Best Midsize Employers for 2026!
Position Summary:
Under close supervision and guidance, the Data Analyst I, Product supports analysis of personal lines product performance and competitive position. The analyst gathers, validates, and organizes internal and external data; prepares reports and visualizations; and shares findings with Product and cross-functional partners. The role applies foundational analytical and statistical methods to defined business questions and contributes to product and process improvement work.
Geo-Salary Information:
An in-person interview may be required during the hiring process
State specific pay scales for this role are as follows:
$63,410 to $117,348 (NJ, NY, WA, HI, AK, MD, CT, RI, MA)
$57,646 to $106,680 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)
$51,881 to $96,012 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV)
In CA: Typical hiring range is $81,341 to $112,974
The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.
Essential Job Functions:
- Gather, organize, and prepare data from internal and external sources for analysis; perform basic checks for completeness and accuracy and flag data issues.
- Analyze product and competitive data to identify trends, differences, and potential issues or opportunities, with guidance from senior team members or Product leaders.
- Support recurring and ad hoc analyses related to products’ competitive position.
- Prepare and maintain reports, charts, spreadsheets, and basic dashboards to communicate analysis results.
- Assist with data ingestion, data cleanup, and documentation for competitive data used in personal lines analysis.
- Use established SQL queries, analytical code, and reporting processes; make routine updates and seek review for material changes.
- Document methods, assumptions, and findings so analyses can be understood and repeated.
- Work with Product and other partners to clarify data needs and provide analysis support.
- Contribute to small, defined-scope projects and process improvements; escalate questions, data-quality concerns, and unexpected results.
- Present findings to colleagues and managers as appropriate, with support in developing recommendations.
- Perform other related duties as assigned.
Qualifications:
Education:
Minimum:
- Bachelor’s degree in an analytical field such as mathematics, statistics, economics, data science, engineering, finance, or a related discipline preferred, or an equivalent combination of education and experience
Experience:
Minimum:
- 1+ year of experience in data analysis, product development, competitive intelligence, insurance, financial services, or a related field preferred; equivalent education or experience may be considered.
Preferred:
- Property and casualty insurance or personal lines experience is a plus.
- Experience using SQL, Excel, or similar tools to organize and analyze data is preferred.
Knowledge and Skills:
Minimum:
- Foundational analytical and statistical skills, including the ability to interpret results and recognize when findings need further review.
- Proficient in SQL and Microsoft Excel; exposure to Python, R, dbt, Git/GitHub, or business intelligence and reporting tools is a plus.
- Ability to work with structured data, follow established procedures, and perform basic data-quality checks.
- Strong attention to detail, problem-solving skills, and willingness to learn new tools and business processes.
- Clear written and verbal communication skills, including the ability to explain analysis in a straightforward way.
- Ability to collaborate effectively and manage assigned tasks with guidance.
About the Company:
Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life.
We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals.
Learn more about us here: https://www.mercuryinsurance.com/about/careers
- Competitive compensation
- Flexibility to work from anywhere in the United States for most positions
- Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)
- Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
- Medical, dental, vision, life, and pet insurance
- 401 (k) retirement savings plan with company match
- Engaging work environment
- Promotional opportunities
- Education assistance
- Professional and personal development opportunities
- Company recognition program
- Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more
See All 23 Remote Product Data Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Product Data Analyst Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
What Employers Look For
The qualifications that appear most often in remote product data analyst jobs.
- Proficiency in SQL for querying and transforming large product event datasets
- Experience designing or analyzing A/B tests and interpreting statistical significance
- Ability to build dashboards and self-serve reports in tools such as Tableau, Looker, or Amplitude
- Familiarity with product analytics platforms such as Mixpanel, Heap, or similar event-tracking tools
- Bachelor's degree in statistics, mathematics, computer science, economics, or a related quantitative field
- Experience collaborating directly with product managers to define metrics, funnels, and success criteria
Tips for Your Remote Product Data Analyst Job Search
Apply early to remote roles that fit
Migrate Mate lists remote product data analyst openings from across the U.S. in one place. Check it regularly and apply to roles that match your skills as soon as they post, since remote roles close faster than on-site equivalents.
Build a portfolio of product analyses
Remote employers can't observe your work style, so a public portfolio does the talking. Include SQL queries, dashboards, or written analyses that show how you answered a real product question, using tools like Looker, Amplitude, or Mixpanel.
Demonstrate async communication in your application
Remote product data analyst teams run on written communication. Write your cover letter and any take-home prompts the way you'd write a Notion doc or Slack update: clear, structured, and self-contained. That style signals you'll thrive on a distributed team.
Prepare for remote-first interview formats
Many distributed teams replace in-person interviews with async video prompts or take-home case studies focused on product metrics like retention, activation, or feature adoption. Practice explaining your analytical reasoning in writing, not just verbally, before your first round.
Remote Product Data Analyst Jobs: Frequently Asked Questions
How do I get a remote product data analyst job?
Target remote-first companies and distributed product teams, since they're built to onboard and manage analysts who never come into an office. Remote employers screen heavily for self-direction, strong async written communication, and proficiency in SQL, Python, and product analytics tools like Mixpanel, Amplitude, or Looker. A portfolio of product analyses or case studies showing how you turned data into a product decision gives you a concrete edge over candidates who only list tools on a resume.
Which companies hire remote product data analysts?
Remote product data analyst roles are posted by ServiceNow, BILL, and Centene and others right now, based on current remote listings on Migrate Mate as of November 2026. These include remote-first SaaS companies, distributed fintech and healthtech teams, and large technology firms with fully distributed data and product organizations.
Can you get a remote product data analyst job with no experience?
Yes, but remote entry-level product data analyst roles are harder to land because employers expect you to work independently from day one with minimal hand-holding. Early-career candidates do best by targeting early-stage startups or companies with structured remote onboarding programs, and by showing self-directed work: a public dashboard, an open-source contribution, or a personal product teardown that demonstrates you can generate insights without being supervised in person.
Do you need a degree for remote product data analyst jobs?
Not always. Many remote employers care more about demonstrated SQL proficiency, product thinking, and experience with analytics tools than a specific credential. A portfolio showing real product analyses, a relevant certification in data analytics or product management, and clear written communication skills can carry a candidate who lacks a four-year degree, especially at remote-first companies that evaluate candidates through skills-based hiring processes.
Which industries hire the most remote product data analysts?
The sectors hiring the most remote product data analysts are Technology & Software and Consulting & Professional Services, based on current remote listings on Migrate Mate as of November 2026. These industries rely on distributed product and data teams that operate entirely asynchronously across time zones, making remote product data analyst roles a natural fit.
See All 23 Remote Product Data Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
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