Senior Product Data Analyst: Data Strategy & Insights

Fidelity

United States

Presencial

USD 90 000 - 140 000

Tempo integral

Há 6 dias
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Resumo da oferta

Fidelity seeks a Product Data Analyst within the Stock Plan Services (SPS) organization. You will partner with product leaders, technology teams, and operations to define, analyze, and deliver data solutions that support SPS products and services.

You will analyze complex data ecosystems, interpret data sets, and drive process improvements across the organization, leveraging modeling strategies and data governance to inform decision-making.

Qualificações

  • Bachelor’s degree preferred.
  • 6+ years 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 in SQL, Excel, OBIEE, Power BI.
  • Deep understanding of data modeling and structuring.

Responsabilidades

  • Engage with stakeholders to understand data problems and define requirements.
  • Analyze and document current system behavior and future state needs.
  • Communicate findings clearly in written, verbal, and visual formats.
  • Analyze data movement to identify inefficiencies and dependencies.
  • Apply dimensional, relational, and unstructured modeling to support data architecture.
  • Document data lineage from origination to consumption.

Conhecimentos

SQL
Excel
OBIEE
Power BI
Data modeling
Cloud platforms
Data governance
Stakeholder comms

Formação académica

Bachelor’s degree preferred

Ferramentas

AWS
Snowflake
Data Lakes
Data Warehouses

Descrição da oferta de emprego

Fidelity seeks a Product Data Analyst within the Stock Plan Services (SPS) organization. You will partner with product leaders, technology teams, and operations to define, analyze, and deliver data solutions that support SPS products and services.

You will analyze complex data ecosystems, interpret data sets, and drive process improvements across the organization, leveraging modeling strategies and data governance to inform decision-making.

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