Senior Product Data Analyst - Stock Plan Services

Fidelity Investments•Merrimack, NH

10d

About The Position

The Product Data Analyst is a key member of Fidelity Stock Plan Services (SPS) Customer Solutions, partnering with Product Leaders, stakeholders, technology teams, Operations, and Compliance to define, analyze, and deliver business data solutions supporting SPS products and services. The role empowers decision makers by analyzing data within business and technology requirements and requires understanding complex data ecosystems, datasets, dependencies, patterns, and upstream and downstream data consumption needs. The analyst contributes knowledge of data platforms, modeling strategies, and input/output data flows, and drives process improvements across the organization. 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 to a full-time onsite working model through a phased rollout across regions and roles. Current onsite expectations vary by role and location and may evolve; the transition does not apply to fully remote roles. The posting does not specify the onsite expectation for this particular position.

Requirements

At least 6 years of experience in business analysis, data analysis, or product ownership.
Strong 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, or Power BI.
Deep understanding of data modeling and structuring.
Experience with data stores, data lakes, data warehouses, and cloud platforms such as AWS or Snowflake.
Experience with data governance and security standards.
Ability to translate complex data and data requirements into meaningful stories that inform decision-making.
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 understand 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 clearly through written, verbal, and visual formats.
Synthesize information from various sources and formulate actionable insights amid ambiguity.
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.
Document data lineage and trace 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 while fostering collaboration and knowledge sharing.
Stay current on industry trends and standards in reporting, data analysis, and process optimization.
Suggest improvements to data consumption and output methods, technologies, and workflows to improve efficiency and accuracy.