GEEIQ

Data Analyst

• Own data access across the product lifecycle: Be the team's first port of call for data requests, pull, shape and deliver data in the format product, CS and sales need.
• Validate and quality-check: Sanity-check, validate and QC data across the platform so the team can trust every number. Spot anomalies, chase them down, and keep our data honest.
• Manage imports and ingestion ops: Run routine data imports and ingestion tasks, making sure data lands cleanly, completely and on time.
• Work AI-first: Use AI tools (Claude, Cursor, Copilot and similar) to rapidly translate business logic or SQL into complex database queries (including NoSQL / Elastic / Mongo), accelerating repetitive work, and continually improve how the team gets and checks data.
• Document and share knowledge: Document data sources, queries and processes so knowledge never sits with just one person. You make the team less dependent on any single individual, including yourself.
• Own the long tail: Take ownership of the steady stream of ad hoc requests that keeps the wider team moving.
• Partner cross-functionally: Work closely with data engineers and product team, translating between technical data and real business needs.

Data Operations Analyst