About the Role
The role involves using data to identify and test opportunities for user acquisition, retention, and product growth, working cross-functionally with marketing, product, and engineering teams.
Responsibilities
- Analyze user behavior to uncover growth opportunities
- Design and evaluate A/B tests to validate product changes
- Develop dashboards to track key growth metrics
- Collaborate with marketing to optimize customer acquisition channels
- Use statistical models to forecast user growth trends
- Identify friction points in the user journey and suggest improvements
- Segment audiences for targeted campaigns
- Measure the impact of marketing initiatives on user conversion
- Support product teams with data to prioritize feature development
- Build and maintain data pipelines for analytics
- Create reports for stakeholders on growth performance
- Investigate anomalies in user engagement data
- Evaluate pricing strategies using customer response data
- Assess churn drivers and recommend retention tactics
- Work with engineering to ensure data accuracy and availability
- Develop predictive models for user lifecycle stages
- Conduct cohort analyses to understand user retention
- Improve data quality and documentation practices
- Translate business questions into analytical frameworks
- Use SQL and Python for data extraction and analysis
- Present findings to non-technical audiences
- Monitor KPIs and alert teams to significant changes
- Contribute to roadmap planning with data-backed insights
- Ensure compliance with data privacy regulations
- Optimize onboarding flow based on user data
Compensation
Competitive salary with equity and benefits
Work Arrangement
Remote within Europe
Team
Part of a lean, data-driven growth team focused on scaling user acquisition and product engagement
What We Value
- Curiosity and a drive to test new ideas
- Ownership of projects from start to insight
- Clear communication across teams
- Data integrity and reproducibility
- Speed balanced with rigor
Tech Stack
- Primary tools include SQL, Python, and Looker
- Data stored in Google BigQuery
- Analytics platforms: Mixpanel and Amplitude
- A/B testing via Statsig or similar
- Cloud infrastructure on Google Cloud Platform
Does not offer visa sponsorship
