Product Data Analyst

Tasks

• Analyze user and product behaviour for trends and opportunities
• Collaborate with engineers and product teams for safe versioned releases and controlled rollout and rollback
• Conduct end to end root cause analysis across data pipelines
• Define and maintain product performance metrics and reporting
• Develop Python or PySpark notebooks
• Ensure data accuracy, completeness, and reliability
• Interpret data flows and technical artefacts to support feature development
• Perform SQL data validation and dataset profiling
• Support billing and regulatory reporting with data checks and reconciliation

Perks/Benefits

• Educational benefits
• Financial benefits
• Flexible work arrangements
• Health and wellbeing benefits
• Hybrid work model
• Lifestyle benefits

Skills/Tech-stack

Agile | Cause analysis | Dashboarding | Data Governance | Data Integrity | Data Quality | Data Reconciliation | Data Validation | Data checks | Data pipeline | Dataset profiling | GitHub | KPI Reporting | Kanban | Notebooks | PySpark | Python | Root Cause Analysis | Root cause | SQL | Scrum | Version control