Senior Product Data Analyst Stock Plan Services
Fidelity Investments is a privately held, Boston-headquartered financial services company providing investing, trading, retirement, wealth management, brokerage, workplace benefits, custody and clearing, and digital-asset services.
About Fidelity Investments
Fidelity serves individual investors, employers, wealth-management firms, institutions, innovators, and charitable donors through diversified financial-services businesses. Current offerings include brokerage and trading, mutual funds and exchange-traded products, retirement and workplace savings, financial planning and advice, wealth management, institutional custody and clearing, and crypto/digital-asset products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will partner with business and technical stakeholders to define and analyze data solutions. You will document system behavior and data lineage, identify dependencies and inefficiencies, apply data-modeling strategies, communicate findings, and recommend improvements to data workflows and consumption methods.
Requirements
- 6+ years of business analysis, data analysis, or product ownership experience
- Experience with data recordkeeping platforms, reporting systems, and application designs
- Proficiency with SQL, Excel, OBIEE, and Power BI
- Understanding of data modeling and structuring
- Experience with data stores, data lakes, data warehouses, AWS, and Snowflake
- Experience with data governance and security standards
Responsibilities
- Engage stakeholders to understand data problems
- Analyze and document current system behavior and future-state requirements
- Communicate findings and recommendations in written, verbal, and visual formats
- Analyze data movement to identify inefficiencies, dependencies, and inconsistencies
- Apply dimensional, relational, and unstructured modeling strategies
- Document data lineage from origination to consumption
- Recommend improvements using data-driven insights
- Improve data consumption, output methods, technologies, and workflows
Benefits
- Fully paid parental leave
- On-site health and wellness centers