Data Analyst

Job description

Key Responsibilities 1. Data Product Ownership & Quality Assurance 2. Analytics Enablement & Insight Delivery 3. Marketing & Experimentation Support 4. Stakeholder & Cross-Functional Collaboration - Own analytics-ready datasets and dashboards from requirements through delivery and adoption - Lead QA and UAT processes for new datasets, pipelines, and data products - Define acceptance criteria, test plans, and validation checks - Ensure data accuracy, completeness, usability, and consistency Partner with data engineering to: - Investigate root causes of data issues and bugs - Prioritize fixes and enhancements - Validate deployments before production release - Act as a subject-matter expert for data definitions, metrics, and business logic - Maintain documentation for data products, schemas, and testing standards - Query and validate complex datasets using SQL and Python - Analyze large datasets to identify trends, patterns, and actionable insights - Translate analytical findings into clear, business-friendly narratives - Support end-to-end analytical deliverables from exploration through operationalization - Ensure analytics outputs are trusted, repeatable, and fit for business use -...