Hybrid Senior IT Data Analyst

at skillventory - A Leading Talent Research Firm

• Job title: Senior IT Data Analyst
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Oracle, SQL
• Location requirements: Hybrid, Durham, United States

About the role

• Senior IT Data Analyst supporting Performance Modernization initiatives by analyzing data flows and translating requirements into implementation-ready solutions. Collaborating with Business Stakeholders and technology teams for performance optimization.

Responsibilities

• Partner with Business Stakeholders, Product Owners, Architecture, and Engineering teams to 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
• Translate business performance 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
• Partner with engineering teams to 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

• 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

• Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Some roles may have unique onsite requirements.