Senior Manager, Advanced Data Analytics and Insights
At a glance
Senior Data Analysis & BI role at Fidelity. Boston · full-time · $107,000–$216,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Turn business questions into analytical requirements, then deliver production BI solutions that support decisions
- Investigate data lineage, source-to-target relationships and business rules to shape reliable datasets
- Build SQL-based data processing and maintain checks for validation, anomalies and completeness
- Create dashboards and semantic reporting layers in Power BI or Tableau, with attention to usability and performance
- Use statistical methods to develop predictive insights and measure the impact and return of business actions
What you bring
- A bachelor’s or equivalent degree and at least four years working on data insight solutions
- Strong SQL and Python skills, including pandas or other data-processing libraries
- Experience with BI tools such as Power BI or Tableau, plus data modeling and metric design
- Knowledge of statistics, ETL practices, data quality methods and cloud analytics platforms
Who this fits
This senior role suits a hands-on analytics professional who can deliver BI products end to end and work consultatively with business and technology stakeholders. Fidelity will not sponsor immigration for this position. The company is moving toward full-time onsite work, with current requirements varying by role and location.
From the employer
Fidelity will not provide immigration sponsorship for this position.
Job Description:
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
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.
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 Insights
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