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.
The base salary range for this position is $107,000-216,000 USD per year.
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 Insights
