Senior Product Data Analyst - Stock Plan Services

Fidelity Investments; Merrimack (NH); On-site; USD 95,000 - 135,000; Full time

Job summary

Fidelity Investments Inc. is seeking a Product Data Analyst within the Stock Plan Services (SPS) Customer Solutions organization.

You will partner with product leaders and technology teams to define and deliver data solutions, analyze complex data ecosystems, and drive process improvements. You will collaborate across stakeholders to document current behavior, define future state requirements, and communicate insights to inform decision-making.

Qualifications

• Bachelor's degree preferred.
• 6+ years of experience in business analysis, data analysis, or product ownership.
• Proficiency with SQL, Excel, OBIEE, and Power BI.

Responsibilities

• Collaborate with product managers and technology teams to understand data problems.
• Document current system behavior and define future state data requirements.
• Communicate findings clearly through written, verbal, and visual formats.
• Analyze data movement and dependencies to identify inefficiencies and risks.
• Maintain documentation of data lineage from origination to consumption.
• Proactively suggest data-driven improvements to workflows and outputs.

Skills

SQL

Excel

OBIEE

Power BI

Data modeling

Data governance

AWS

Snowflake

Data pipelines

Education

Bachelor's degree preferred

Tools

AWS

Snowflake

Job description

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.