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