Job Description
The Lead Data Analyst is responsible for translating business opportunities, customer needs, and operational challenges into actionable data requirements, integrated data solutions, and analytical deliverables.
This role partners directly with business customers, Digital Product, Analytics, AI, Data Operations, and Technology teams to understand business processes, document requirements, assess data, validate solutions, and ensure delivered capabilities solve the intended business problem.
The Lead Data Analyst serves as a key bridge between business stakeholders and the DataOps Engineering organization, providing hands-on expertise across business analysis, data profiling, solution validation, customer enablement, and process improvement so data and engineering investments align to measurable business outcomes.
Key Responsibilities
Business Engagement & Functional Analysis
· Partner with business stakeholders to understand business objectives, operational processes, decision-making needs, and desired outcomes and how data supports them.
· Facilitate discovery sessions, requirements workshops, and stakeholder interviews to translate customer needs into clear functional requirements, business rules, acceptance criteria, and value measures.
· Ensure business context, intended use, process requirements, and expected outcomes are understood and documented before solution development begins.
Data Analysis, Profiling & Requirements
· Perform data discovery, profiling, and analysis to evaluate quality, completeness, metadata, usability, and fitness for purpose, identifying gaps and remediation needs early in the lifecycle.
· Define and document business semantics, data definitions, transformation logic, source-to-target mappings, data relationships, and readiness criteria.
· Develop clear functional and data requirements that enable efficient solution development.
Data Product Integration & Validation
· Partner closely with Data Operations and Data Engineering throughout design and delivery to ensure solutions reflect business intent and support reuse.
· Develop analytical datasets, reusable data assets, and Gold layer data solutions when business requirements can be effectively addressed through analyst-led solution development.
· Develop and execute functional testing, test cases, and business acceptance validation for engineered datasets, data products, and integrated solutions.
· Coordinate customer feedback, user acceptance testing, adoption, and transition activities to ensure solutions are integrated successfully into business workflows.
Business Process Automation & Optimization