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Fidelity Investments

Senior IT Data Analyst

Fidelity Investments

Senior IT Data Analyst focusing on data analysis and data-driven solutions. Supporting performance modernization initiatives across Fidelity’s critical strategic programs and applications.

Posted 5/16/2026full-timeDurham • North Carolina, Rhode Island, Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
OracleSQL

About the role

Key responsibilities & impact
  • Analyze business and operational data needs
  • Understand upstream and downstream data flows
  • Translate business requirements into system and data requirements
  • Convert business ask into system‑ready user stories when required
  • Analyze system and data dependencies impacting performance
  • Collaborate with technology teams to translate business needs into implementation‑ready system and data requirements
  • Define source‑to‑target data mappings, interface contracts, and end‑to‑end data lineage across upstream and downstream systems
  • Support performance optimization by conducting data analysis, profiling, and validation using SQL
  • Convert complex business and data requirements into user stories with clearly defined acceptance criteria and test conditions
  • Ensure system and data solutions meet performance, scalability, and operational requirements
  • Perform impact analysis related to schema changes, integration logic updates, and data pipeline enhancements
  • Lead backlog refinement sessions to ensure stories are clear, testable, and ready for sprint planning
  • Support quarterly planning and backlog management for performance‑focused system and data initiatives
  • Collaborate with Architecture, Data Engineering, and Application teams to align on data contracts, integration dependencies, and SLAs
  • Identify and manage risks and dependencies impacting application and data processing performance
  • Support end‑to‑end testing to validate performance improvements and functional alignment with defined requirements

Requirements

What you’ll need
  • Hands‑on experience with relational databases and SQL for data analysis, profiling, validation, and root cause analysis
  • Strong understanding of data modeling concepts such as star and snowflake schemas, dimensions, and facts
  • Experience collaborating with business stakeholders to gather and analyze business and functional requirements using structured artifacts such as BRDs, process flows, and data flow diagrams
  • Ability to translate business goals into end‑to‑end system and data requirements including field‑level definitions, data rules, and non‑functional requirements
  • Experience partnering with engineering teams to define and maintain source‑to‑target data mappings, interface contracts, and data lineage across integration layers
  • Experience documenting and maintaining end‑to‑end data and process lineage across platforms such as Oracle, Snowflake, and S3 through operational workflows
  • Ability to perform impact analysis related to upstream schema changes, data pipeline updates, and integration logic changes
  • Experience performing cost‑benefit analysis to ensure technology investments are aligned with business objectives and deliver measurable value
  • Ability to convert business requirements into actionable delivery plans with defined milestones and timelines for both system and data initiatives
  • Experience identifying and managing risks and dependencies related to data workflows, system integrations, and processing pipelines
  • Experience supporting delivery through quarterly planning and backlog management activities
  • Experience managing product backlogs using tools such as JIRA, Confluence, Excel, and SharePoint
  • Ability to translate complex business and data requirements into user stories with clearly defined business value, acceptance criteria, and test conditions
  • Experience leading refinement sessions to ensure user stories are implementation‑ready for sprint planning
  • Ability to define story acceptance tests in collaboration with engineering teams using Acceptance Test Driven Development (ATDD) principles

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
SQLdata analysisdata profilingdata validationdata modelingstar schemasnowflake schemadata mappingimpact analysisAcceptance Test Driven Development
Soft Skills
collaborationcommunicationrisk managementbacklog managementrequirements gatheringproblem-solvingleadershipanalytical thinkingorganizational skillsstakeholder engagement