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Senior IT Data Analyst
Fidelity InvestmentsSenior 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 & technologiesOracleSQL
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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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