Description
SUMMARY: The Data Analyst is responsible for supporting business intelligence and analytics delivery by partnering with BI Developers, BI Architects, Data Architects, Data Engineers, and business stakeholders to translate business needs into clear, development-ready requirements.
This role supports the delivery of reporting and analytics solutions by understanding where data resides, how it moves through ETL/ELT processes, how it is modeled for reporting, and how business requirements should be documented for technical delivery. The Data Analyst serves as a liaison between business users and technical teams, helping define report requirements, clarify data logic, document source-to-target mappings, create development-ready tickets, support testing, and ensure BI solutions align with enterprise data standards and architecture patterns.
DUTIES AND RESPONSIBILITIES:
· Partner with business stakeholders to gather, clarify, and document reporting and analytics requirements.
· Work closely with BI Developers, BI Architects, Data Architects, and Data Engineers to translate business needs into technical specifications.
· Understand where data resides across source systems, data warehouses, semantic layers, and BI tools.
· Analyze ETL/ELT processes, data flows, transformations, and dependencies to support BI solution design.
· Document source-to-target mappings, business rules, metric definitions, filter logic, report logic, and reporting assumptions.
· Create clear, development-ready user stories, tickets, acceptance criteria, and supporting documentation for technical teams.
· Support backlog refinement, sprint planning, testing, and release coordination for BI and analytics work.
· Validate reporting outputs against source data, business rules, requirements, and expected results.
· Investigate data discrepancies, reporting defects, and gaps between business expectations and technical implementation.
· Coordinate across BI, data architecture, data engineering, and business teams to resolve issues and drive delivery.
· Support standardization of BI requirements, documentation practices, reusable reporting patterns, and intake processes.
· Assist with user acceptance testing and production validation for new or enhanced dashboards, reports, datasets, and semantic models.
· Communicate technical concepts clearly to non-technical stakeholders and communicate business context clearly to technical teams.
· Identify opportunities to improve reporting processes, data usability, development handoffs, and operational efficiency.
SUPERVISORY RESPONSIBILITIES:
· This job has no supervisory responsibilities.
COMPETENCIES:
· Diversity - Demonstrates knowledge of EEO policy; Shows respect and sensitivity for cultural differences; Promotes a harassment-free environm