JobsData AnalystUnited StatesSenior Product Data Analyst - Stock Plan Services
Fidelity Investments
Posted 3 days ago
Senior Product Data Analyst - Stock Plan Services
Fidelity Investments · Covington, Kentucky, United States
In short
The analyst will partner with product leaders and technology teams to define and deliver business data solutions that support stock plan services. They are responsible for analyzing data flows, identifying process inefficiencies, and documenting data lineage to drive organizational improvements.
What they're looking for
MUST-HAVE SKILLS
ALSO MENTIONED
Candidates should have 6 or more years of experience in business or data analysis with proficiency in SQL, reporting tools, and cloud platforms. A bachelor's degree is preferred, along with strong skills in data modeling, governance, and cross-functional collaboration.
About Fidelity Investments
WEBSITE
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Questions about this role
- Is this Fidelity Investments role remote?
- Tagged on site.
- Does it sponsor visas?
- Listed as no visa sponsorship.
- What experience does it ask for?
- Listed as 5-10 years.
The posting, in full
Fidelity will not provide immigration sponsorship for this position. The Role The Product Data Analyst is a key member of the Stock Plan Services (SPS) Customer Solutions organization, responsible for partnering with Product Leaders, Stakeholders, Technology teams, Operations, and Compliance partners to define, analyze, and deliver business data solutions that support SPS products and services.
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Fidelity will not provide immigration sponsorship for this position.
Job Description
The Role
The Product Data Analyst is a key member of the Stock Plan Services (SPS) Customer Solutions organization, responsible for partnering with Product Leaders, Stakeholders, Technology teams, Operations, and Compliance partners to define, analyze, and deliver business data solutions that support SPS products and services.
This role serves to empower and inform decision makers by analyzing data as part of business and technology requirements. The ideal candidate can understand complex data ecosystems, interpret complex data sets, identify cross-program data dependencies and patterns, understand data as input and output, and drive process improvements across the organization. This role requires strong collaboration with cross-functional teams and a deep understanding of data platforms, modeling strategies, input/output data flows, and analyzing up and downstream consumption needs.
Key Responsibilities
Engaging stakeholders, product managers, and technology leaders to understand 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 clearly through written, verbal, and visual formats.
Accept ambiguity and synthesize information from various sources to formulate actionable insights.
Analyze data movement as part of job flows to identify problem points, inefficiencies, dependencies, and inconsistencies.
Apply knowledge of dimensional, relational, and unstructured modeling strategies to support data architecture.
Continuous 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, fostering a collaborative and knowledge-sharing environment.
Stay updated 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.
The Expertise and Skills You Bring
- Bachelor’s degree preferred.
- 6+ years of experience in business analysis, data analysis, or product ownership.
- Superb communication, organizational, and time management skills.
- Experience with data recordkeeping platforms, reporting systems, and application designs.
- Proficiency in data analytical tools (e.g. SQL, Excel, OBIEE, Power BI).
- Deep understanding of data modeling and structuring.
Solid experience with data stores, data lakes, data warehouses, and cloud platforms (e.g., AWS, Snowflake).
Experience with data governance and security standards.
Ability to translate complex data and data requirements into meaningful stories to inform decision-making.
Ability to represent data requirements in the context of business priorities to multiple stakeholder profiles.
The Team
For more than two decades, Fidelity Stock Plan Services, which is fully integrated within the Workplace Investing (WI) division, has been a trusted leader in equity compensation administration for both public and private companies. As a premier equity compensation provider, we empower employers with advanced technology and exceptional service to strategically manage their equity programs and attract and retain top talent. This also includes helping their employees understand and value their equity awards through comprehensive and highly personalized communications, education and guidance.
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.
Certifications
Category:
Business Analytics and Insights
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.
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