Remote Advanced Analytics Manager Jobs
Remote Advanced Analytics Manager jobs are open across the U.S. in sectors like technology, financial services, healthcare, and retail, where distributed data teams rely on analytics leaders to drive decisions without a central office. Companies hiring remotely right now include Fidelity Investments, Openly, and Vericast. Scan the live roles below and apply to whichever ones fit.
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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 13 Remote Advanced Analytics Manager Jobs
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Find JobsRemote Advanced Analytics Manager Job Market
Who's Hiring
Top Industries Hiring
- Media & Entertainment
- Technology & Software
- Banking & Financial Services
- Healthcare & Medical Services
What Employers Look For
The qualifications that appear most often in remote advanced analytics manager jobs.
- Five or more years of experience in analytics, data science, or business intelligence roles
- Advanced proficiency in SQL and at least one scripting language such as Python or R
- Experience leading or mentoring a team of analysts or data scientists
- Hands-on experience with BI platforms such as Tableau, Power BI, or Looker
- Demonstrated ability to translate complex analysis into executive-level recommendations
- Bachelor's degree in statistics, mathematics, computer science, or a related quantitative field
Tips for Your Remote Advanced Analytics Manager Job Search
Apply early to remote roles that fit
Migrate Mate lists remote advanced analytics manager openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sifting through location-dependent listings or irrelevant postings.
Show async communication skills upfront
Remote analytics leaders are evaluated on how clearly they communicate without real-time back-and-forth. Write your cover letter and resume summaries in a style that mirrors how you'd brief a distributed stakeholder: direct, structured, and decision-ready.
Build a portfolio of documented analytical outcomes
Remote employers can't observe your work in person, so your portfolio does the convincing. Include write-ups of past analyses that show your process, the business question you addressed, and the decision your work informed, using tools like SQL, Python, or cloud BI platforms.
Prepare for remote interviews with async deliverables
Many remote analytics teams screen candidates with take-home case studies or recorded video responses before a live interview. Practice walking through an analytical problem in writing or on a loom-style recording so your reasoning is clear without real-time prompting.
Remote Advanced Analytics Manager Jobs: Frequently Asked Questions
How do I get a remote advanced analytics manager job?
Remote-first companies and distributed enterprise teams hire advanced analytics managers who can lead independently without in-person oversight. Employers screen for async written communication, self-directed project management, and hands-on fluency in tools like SQL, Python, and cloud-based BI platforms. Candidates who can show documented analytical outcomes, clear remote collaboration habits, and experience presenting findings to stakeholders in writing consistently stand out in remote hiring pipelines.
Which companies hire remote advanced analytics managers?
Companies hiring remote advanced analytics managers right now include Fidelity Investments, Openly, and Vericast, based on current remote listings on Migrate Mate as of November 2026. These tend to be remote-first technology firms, distributed financial services organizations, and healthcare analytics companies that run data functions entirely across geographies rather than from a single headquarters.
Can you get a remote advanced analytics manager job with no experience?
Yes, but remote advanced analytics manager roles are harder to land without experience because you're expected to operate independently from day one. Remote-first startups and scaleups are more open to candidates early in their management journey. Showing a portfolio of end-to-end analytics projects, demonstrated proficiency with modern data stacks, and evidence of leading cross-functional work asynchronously can open the door when formal management experience is limited.
Do you need a degree for remote advanced analytics manager jobs?
Not always. Many remote employers weigh demonstrated analytical output, proficiency with tools like Python, SQL, dbt, or Tableau, and a history of leading data-driven initiatives over formal credentials. A degree in statistics, computer science, or a related field is common in job postings, but candidates who show strong portfolios and measurable business impact regularly compete for and win remote roles without one.
Which industries hire the most remote advanced analytics managers?
Remote advanced analytics manager roles concentrate in Media & Entertainment, Technology & Software, and Banking & Financial Services, based on current remote listings on Migrate Mate as of November 2026. These sectors invest heavily in distributed analytics functions because their data infrastructure, decision-making cycles, and collaboration tools are already built to operate across locations without requiring teams to be in the same place.
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