About the Role
The role involves working closely with product managers and engineers to analyze user behavior, measure product performance, and identify opportunities for improvement using quantitative methods and data modeling.
Responsibilities
- Analyze large datasets to uncover patterns in user behavior
- Collaborate with product teams to define key performance metrics
- Build and maintain dashboards for ongoing product monitoring
- Conduct A/B testing and interpret results to guide product decisions
- Translate business questions into data queries and statistical analyses
- Document findings and present insights to cross-functional teams
- Identify data quality issues and work with engineering to resolve them
- Develop models to predict user engagement and retention
- Support roadmap planning with data-backed recommendations
- Create automated reporting systems to reduce manual analysis tasks
- Partner with data engineers to improve data pipeline reliability
- Ensure data governance and compliance with internal standards
- Perform cohort and funnel analyses to assess feature effectiveness
- Use statistical methods to validate product hypotheses
- Maintain up-to-date knowledge of analytics tools and best practices
- Optimize database queries for efficiency and scalability
- Contribute to the design of event tracking architecture
- Assist in defining product success criteria
- Monitor product changes for unintended side effects
- Facilitate data literacy across non-technical teams
Nice to Have
- Master’s degree in data science, statistics, or related field
- Advanced proficiency in machine learning techniques
- Experience building predictive models for user behavior
- Deep expertise in experimental design
- Familiarity with real-time data processing systems
- Contributions to open-source data projects
- Publications or presentations in data science domains
- Experience mentoring junior analysts
- Knowledge of blockchain technology and digital assets
- Track record of driving product changes through data insights
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid or remote options available
Team
Part of the product team focused on data-driven decision-making
About the Team
- The product team values evidence-based decision-making and relies heavily on data to shape strategy and execution.
- Analysts play a central role in testing assumptions, measuring outcomes, and guiding iteration.
What We Value
- Curiosity, precision, and clear communication are essential traits for success in this role.
- We prioritize candidates who can balance technical rigor with practical impact.
Available for qualified candidates
