Responsibilities
- Ingest, clean, and join datasets; document data lineage
- Build automated dashboards and recurring reports
- Define metrics with stakeholders and prevent definition drift
- Write basic SQL queries; validate results against source systems
- Analyze experiments and create clear narrative summaries
- QA pipelines and escalate data quality issues early
- Maintain README/runbooks for reproducibility
Requirements
- Excel/Sheets proficiency (pivots, lookups, array formulas)
- SQL basics required; willingness to level up quickly
- Familiarity with a BI tool (Looker/Tableau/Power BI) a plus
- Strong analytical thinking and attention to detail
- Clear communication—turns numbers into insights
- Version control or folder hygiene for analysis assets
- Comfort with deadlines and iterative feedback
