The Role
We are seeking for a Senior Manager, Advanced Data Analytics who is a data-driven professional and 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
End‑to‑End BI Product Delivery - Translate business questions into clear analytical requirements, and create reporting experiences and insights that support decision‑making. Own end-to-end delivery of production BI solutions.
Business Partnership & Insight - Act as a consultative partner translating objectives into measurable outcomes while driving a consistent “single source of truth” across stakeholders and domains.
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). Independently conduct advanced analyses and build business cases ROI/ impact measurement tied to actions and outcomes.
Education & Experience - Bachelor’s or equivalent Degree with 4+ years of experience working with data insight solutioning. Preferred BS/MS in Engineering, Computer Science, Data Core Skills
Core Skills
- Knowledge in business statistics and quantitative methods
- Proficiency in SQL and Python (pandas, data processing libraries)
- Experience with BI and analytical tools (e.g. Power BI, Tableau, and related tooling)
- Expertise in data modeling, semantic layer design, and metric modeling
- Experience with pipeline logic and ETL practices
- Practice in strong data quality and reconciliation methods
- Experience with cloud data warehouses and analytics platforms (e.g., Snowflake)
- Experience with Stakeholder partnership, consultative communication, and data storytelling
Note: Fidelity is not providing immigration sponsorship for this position
The Team
The Advanced Analytics & AI Insights (A3i) Team delivers trusted metrics, dashboards, and advanced insights that enable better decision‑making across the organization. We partner across business and technology to improve data quality, enable self‑service reporting, and build scalable, well‑governed BI products.
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.
Skills Required
- Bachelor's degree or equivalent and 4+ years working with data insight solutioning
- Knowledge in business statistics and quantitative methods
- Proficiency in SQL
- Proficiency in Python (pandas, data processing libraries)
- Experience with BI and analytical tools (Power BI, Tableau)
- Expertise in data modeling, semantic layer design, and metric modeling
- Experience with pipeline logic and ETL practices
- Practice in strong data quality and reconciliation methods
- Experience with cloud data warehouses and analytics platforms (e.g., Snowflake)
- Experience with stakeholder partnership, consultative communication, and data storytelling
- Preferred BS/MS in Engineering, Computer Science, or related data field
Fidelity Investments Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fidelity Investments and has not been reviewed or approved by Fidelity Investments.
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Strong & Reliable Incentives — Bonuses, commissions, and profit-sharing are presented as generous and meaningful components of total compensation, with certain roles achieving high total earnings through multiple pay streams. Variable pay is consistently framed as a positive contributor beyond base salary.
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Retirement Support — A 401(k) match up to 7% alongside additional profit-sharing up to 10% materially enhances long-term compensation. These retirement features are highlighted as standout strengths of the overall package.
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Parental & Family Support — Generous paid parental leave (16 weeks maternity, 12 weeks parental), backup dependent care, and adoption assistance provide robust family support. Hybrid work and caregiving resources further ease family responsibilities.
Fidelity Investments Insights
What We Do
At Fidelity, our goal is to make financial expertise broadly accessible and effective in helping people live the lives they want. We do this by focusing on a diverse set of customers: - from 23 million people investing their life savings, to 20,000 businesses managing their employee benefits to 10,000 advisors needing innovative technology to invest their clients’ money. We offer investment management, retirement planning, portfolio guidance, brokerage, and many other financial products. Privately held for nearly 70 years, we’ve always believed by providing investors with access to the information and expertise, we can help them achieve better results. That’s been our approach- innovative yet personal, compassionate yet responsible, grounded by a tireless work ethic—it is the heart of the Fidelity way.
