Data Analytics Team Lead
Lead and grow the analytics team while remaining hands-on with data pipelines, queries, analysis, product-quality metrics, dashboards, ML evaluation workflows, experiments, and data-quality controls. Translate data gaps into prioritized requirements for engineering and turn ad hoc analysis into repeatable reporting.
Responsibilities
- Lead, manage, mentor, and hire for the analytics team
- Write SQL and Python pipelines for data collection, processing, and labeling
- Build an end-to-end metric tree for document-processing product quality
- Create reporting and dashboards for ML, product, and leadership
- Prepare data for ML evaluation, assess model quality, and benchmark models
- Design, run, and interpret A/B tests across mobile and server-side systems
- Monitor and improve data and labeling accuracy and consistency
- Define missing data requirements and write prioritized tasks for backend and data teams
- Turn one-off analyses into repeatable pipelines and reporting cadences
Requirements
- Team leadership experience while remaining hands-on
- Strong Python skills and clean, maintainable code practices
- Strong SQL skills and experience with columnar or analytical databases
- Strong statistics and experimental-design skills, including significance and power analysis
- Experience with workflow orchestration, data transformation, cloud storage, and experiment tracking
- Excellent communication skills for translating data gaps into business-justified requirements
- Ownership, autonomy, and pragmatic prioritization
Benefits
- Flexible working hours and workplace
- Open vacation policy