Remote Data Insights Analyst Jobs
Remote Data Insights Analyst jobs are open across the U.S. at remote-first firms, distributed technology teams, and companies in sectors like software, fintech, and healthcare analytics. Employers hiring remotely right now include Fidelity Investments, Cisco, and THIRD. See the openings below and apply to the ones that match your experience.
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Fidelity will not provide immigration sponsorship for this position.
Job Description:
The Role
We are seeking a data-driven professional who is passionate about transforming complex data into clear, trusted insights and scalable BI products. This role blends analytical and technical expertise with business acumen. As a full‑stack analytics professional, you’ll deliver end‑to‑end BI solutions and Insights while partnering with stakeholders to drive measurable outcomes.
The Expertise and Skills You Bring
- Education & Experience - Bachelor’s or equivalent Degree with 6+ years of experience working with data insight solutioning. Preferred BS in Engineering, Computer Science, Data Science, or related field.
- End‑to‑End BI Product Delivery - Translate business questions into clear analytical requirements, and create reporting experiences and insights that support decision‑making. Lead, shape, and own end‑to‑end BI product delivery of production solutions for complex domains.
- Financial Services- Experience working in financial services and/or fintech. Understanding the landscape and competitive marketplace.
- Business Partnership & Insight - Serve as a strategic advisor, framing ambiguous needs, influencing priorities, and aligning deliverables to business strategy. Influence decisions with crisp narratives, tradeoffs, and action plans for senior audiences.
- Data Understanding, SQL, & Analytics Engineering - Perform deep data discovery of source‑to‑target relationships, data lineage, business rules, and operational nuances. Optimize advanced SQL for large-scale data processing. Build scalable, high-quality datasets through strong data shaping practices.
- Data Quality, Controls, & Trust - Document definitions, assumptions, and limitations to ensure auditability. Partner with governance and platform teams to align on standards. Design and maintain robust data quality controls—including validation, anomaly detection, and completeness checks to drive trust in data.
- Dashboarding & Visualization (Power BI, Tableau) - Design and deliver intuitive, high-performing dashboards and semantic reporting layers to enable self-service analytics aligned to business workflows. Apply visualization best practices, optimize performance, and manage release lifecycles.
- Advanced Analytics (Non‑AI) - Apply statistical and quantitative methods for diagnostic and predictive insights (e.g., hypothesis testing, statistical comparisons). Lead complex, ambiguous analyses and connect findings to strategic decisions and investment tradeoffs.
- Knowledge in business statistics, quantitative methods, strong data quality and reconciliation methods
- Expertise with stakeholder partnership, consultative communication, and data storytelling
- Expertise with writing and decoding SQL and Python (pandas, data processing libraries) and BI and analytical tools (e.g. Power BI, Tableau, and related tooling)
- Experience preferred with using Dev AI tools such as GitHub Copilot
- Expertise with data modeling, semantic layer design, and metric modeling
- Experience with pipeline logic and ETL practices
- Experience with cloud data warehouses and analytics platforms (e.g., Snowflake)
The Team
The Analytics and Commercialization team is a key enabler of Fidelity Institutional (FI) strategy and drives sustainable commercial value to Fidelity by leveraging our collective intelligence and forming forward-looking perspectives to unlock, package and deliver growth and scale opportunities for our clients and collective businesses. The org includes the following teams that collectively work together to drive end-to-end connectivity to realize our outcomes: Data Foundation and Management, Analytics and Insights, Commercialization, Investment and Business Consulting specialists, and Distribution Effectiveness.
Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Certifications:
Category:
Data Analytics and InsightsFidelity will not provide immigration sponsorship for this position.
Job Description:
The Role
We are seeking a data-driven professional who is passionate about transforming complex data into clear, trusted insights and scalable BI products. This role blends analytical and technical expertise with business acumen. As a full‑stack analytics professional, you’ll deliver end‑to‑end BI solutions and Insights while partnering with stakeholders to drive measurable outcomes.
The Expertise and Skills You Bring
- Education & Experience - Bachelor’s or equivalent Degree with 6+ years of experience working with data insight solutioning. Preferred BS in Engineering, Computer Science, Data Science, or related field.
- End‑to‑End BI Product Delivery - Translate business questions into clear analytical requirements, and create reporting experiences and insights that support decision‑making. Lead, shape, and own end‑to‑end BI product delivery of production solutions for complex domains.
- Financial Services- Experience working in financial services and/or fintech. Understanding the landscape and competitive marketplace.
- Business Partnership & Insight - Serve as a strategic advisor, framing ambiguous needs, influencing priorities, and aligning deliverables to business strategy. Influence decisions with crisp narratives, tradeoffs, and action plans for senior audiences.
- Data Understanding, SQL, & Analytics Engineering - Perform deep data discovery of source‑to‑target relationships, data lineage, business rules, and operational nuances. Optimize advanced SQL for large-scale data processing. Build scalable, high-quality datasets through strong data shaping practices.
- Data Quality, Controls, & Trust - Document definitions, assumptions, and limitations to ensure auditability. Partner with governance and platform teams to align on standards. Design and maintain robust data quality controls—including validation, anomaly detection, and completeness checks to drive trust in data.
- Dashboarding & Visualization (Power BI, Tableau) - Design and deliver intuitive, high-performing dashboards and semantic reporting layers to enable self-service analytics aligned to business workflows. Apply visualization best practices, optimize performance, and manage release lifecycles.
- Advanced Analytics (Non‑AI) - Apply statistical and quantitative methods for diagnostic and predictive insights (e.g., hypothesis testing, statistical comparisons). Lead complex, ambiguous analyses and connect findings to strategic decisions and investment tradeoffs.
- Knowledge in business statistics, quantitative methods, strong data quality and reconciliation methods
- Expertise with stakeholder partnership, consultative communication, and data storytelling
- Expertise with writing and decoding SQL and Python (pandas, data processing libraries) and BI and analytical tools (e.g. Power BI, Tableau, and related tooling)
- Experience preferred with using Dev AI tools such as GitHub Copilot
- Expertise with data modeling, semantic layer design, and metric modeling
- Experience with pipeline logic and ETL practices
- Experience with cloud data warehouses and analytics platforms (e.g., Snowflake)
The Team
The Analytics and Commercialization team is a key enabler of Fidelity Institutional (FI) strategy and drives sustainable commercial value to Fidelity by leveraging our collective intelligence and forming forward-looking perspectives to unlock, package and deliver growth and scale opportunities for our clients and collective businesses. The org includes the following teams that collectively work together to drive end-to-end connectivity to realize our outcomes: Data Foundation and Management, Analytics and Insights, Commercialization, Investment and Business Consulting specialists, and Distribution Effectiveness.
Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Certifications:
Category:
Data Analytics and InsightsSee All 20 Remote Data Insights Analyst Jobs
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Find JobsRemote Data Insights Analyst Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote data insights analyst jobs.
- Proficiency in SQL for querying and transforming relational databases
- Experience with data visualization tools such as Tableau or Power BI
- Bachelor's degree in a quantitative field such as statistics, economics, or computer science
- Ability to communicate findings clearly to non-technical business stakeholders
- Familiarity with Python or R for data manipulation and exploratory analysis
- Experience working with large datasets in cloud environments such as BigQuery or Snowflake
Tips for Your Remote Data Insights Analyst Job Search
Show async communication in your application
Remote data insights employers screen for written clarity as much as technical skill. Include a brief written summary with any work sample explaining your analysis, the question you answered, and the outcome. That format mirrors how you'll communicate findings on a distributed team.
Build a portfolio of self-directed analyses
Remote employers can't observe how you work day-to-day, so your portfolio has to do that job. Publish two or three complete analyses on a personal site or GitHub, including the question, methodology, and a plain-language conclusion any stakeholder could act on.
Apply early to remote roles that fit
Migrate Mate lists remote data insights analyst openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through location-filtered results. Apply as soon as a role posts since remote positions close faster than on-site ones.
Prepare for async technical screens
Many remote data insights teams send take-home assessments instead of live coding rounds, using tools like SQL, Looker, or Tableau. Practice delivering a clean, documented analysis with a written narrative, since how you explain your reasoning matters as much as the output itself.
Remote Data Insights Analyst Jobs: Frequently Asked Questions
How do I get a remote data insights analyst job?
Target companies built around distributed teams, particularly remote-first SaaS firms, fintech platforms, and digital health organizations, since they hire data insights analysts remotely most consistently. Remote employers screen heavily for self-direction, clear written communication, and proficiency in tools like SQL, Python, Tableau, or Looker. A portfolio showing end-to-end analyses you completed and communicated independently gives you a real edge over candidates with similar technical skills.
Which companies hire remote data insights analysts?
Remote data insights analyst roles are posted by Fidelity Investments, Cisco, and THIRD and others right now, based on current remote listings on Migrate Mate as of November 2026. Remote-first technology companies, distributed fintech teams, and healthcare analytics organizations tend to hire for this role the most consistently outside of office settings.
Can you get a remote data insights analyst job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to work independently from day one with minimal oversight. Remote-first startups and analytics consulting firms are more open to junior candidates than large enterprises. Build a public portfolio of real analyses using open datasets, demonstrate async communication skills, and earn a recognized certification in SQL or a BI tool to open doors.
Do you need a degree for remote data insights analyst jobs?
Not always. Many remote employers care more about demonstrated analytical ability, tool proficiency, and a portfolio showing real insights work than a specific degree. A background in statistics, business, or computer science helps, but candidates without a four-year degree regularly get hired by showing results through projects, certifications, and clear examples of how their analysis drove a decision.
Which industries hire the most remote data insights analysts?
Most remote data insights analyst openings sit in Technology & Software, per current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed data teams to synthesize reporting, monitor KPIs, and deliver insights to stakeholders who are rarely in the same location.
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