Senior Product Data Analyst - Stock Plan Services

Fidelity•Merrimack, NH

About The Position

The Product Data Analyst is a key member of the Stock Plan Services (SPS) Customer Solutions organization. The role partners with Product Leaders, stakeholders, Technology teams, Operations, and Compliance to define, analyze, and deliver business data solutions supporting SPS products and services. It empowers decision makers by analyzing data in the context of business and technology requirements. The analyst works across complex data ecosystems and datasets, identifies cross-program dependencies and patterns, and evaluates data inputs, outputs, and downstream consumption needs. The role requires close collaboration with cross-functional teams and an understanding of data platforms, modeling strategies, and data flows. Fidelity Stock Plan Services is integrated within the Workplace Investing division and provides equity compensation administration for public and private companies. Its services include technology and support for employers managing equity programs, along with communications, education, and guidance to help employees understand their equity awards. Fidelity is transitioning toward a full-time onsite working model through a phased regional and role-based rollout; onsite expectations vary and may evolve.

Requirements

At least 6 years of experience in business analysis, data analysis, or product ownership.
Excellent communication, organizational, and time-management skills.
Experience with data recordkeeping platforms, reporting systems, and application designs.
Proficiency with data analytical tools such as SQL, Excel, OBIEE, and Power BI.
Deep understanding of data modeling and structuring.
Experience with data stores, data lakes, data warehouses, and cloud platforms such as AWS and Snowflake.
Experience with data governance and security standards.
Ability to translate complex data and data requirements into meaningful stories that inform decisions.
Ability to represent data requirements in the context of business priorities to multiple stakeholder profiles.

Nice To Haves

Bachelor’s degree preferred.

Responsibilities

Engage stakeholders, product managers, and technology leaders to identify the right problems from a data perspective.
Collaborate with business and technical teams to analyze and document current system behavior and define future-state requirements.
Communicate findings and recommendations through written, verbal, and visual formats.
Synthesize ambiguous information from various sources into actionable insights.
Analyze data movement in job flows to identify problem points, inefficiencies, dependencies, and inconsistencies.
Apply dimensional, relational, and unstructured modeling strategies to support data architecture.
Maintain documentation of data lineage, tracing data flow from origination to consumption.
Recommend improvements based on data-driven insights and design-oriented modeling approaches.
Influence and motivate colleagues without formal authority, encouraging collaboration and knowledge sharing.
Stay current on industry trends and standards in reporting, data analysis, and process optimization.
Proactively suggest improvements to data consumption and output methods, technologies, and workflows to improve efficiency and accuracy.