Senior IT Data Analyst

Fidelity Investments

Senior IT Data Analyst at Fidelity supporting Performance Modernization initiatives through data analysis and system requirement translation. Collaborating with stakeholders to align business and technical needs.

Posted 6/26/2026full-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 enterprise data workflows and system dependencies to identify performance bottlenecks across applications and integration layers
Define source-to-target data mappings, interface contracts, and end-to-end data lineage across upstream and downstream systems
Supporting performance optimization by conducting data analysis, profiling, and validation using SQL
Partnering with engineering teams to ensure system and data solutions meet performance, scalability, and operational requirements
Performing impact analysis related to schema changes, integration logic updates, and data pipeline enhancements
Leading backlog refinement sessions to ensure stories are clear, testable, and ready for sprint planning
Supporting quarterly planning and backlog management for performance-focused system and data initiatives
Collaborating with Architecture, Data Engineering, and Application teams to align on data contracts, integration dependencies, and SLAs
Identifying and managing risks and dependencies impacting application and data processing performance
Supporting 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

401(k) matching
Flexible work hours
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 lineageimpact analysisAcceptance Test Driven Development

Soft Skills

collaborationcommunicationproblem-solvingrisk managementbacklog managementleadershipanalytical thinkingrequirements gatheringplanningstory refinement