About the Role
The role involves leading data initiatives across product domains, building measurement strategies, and enabling teams to make informed decisions using robust data models and clear visualizations.
Responsibilities
- Lead analytics efforts to support product development and iteration
- Develop and maintain key performance indicators and dashboards
- Collaborate with product managers to define success metrics
- Translate business questions into analytical frameworks
- Design experiments to evaluate product changes
- Conduct deep-dive analyses to uncover user behavior trends
- Build and optimize data pipelines for efficiency and accuracy
- Ensure data quality and consistency across systems
- Mentor junior analysts and promote best practices
- Present findings to stakeholders across departments
- Drive adoption of analytics tools and self-service platforms
- Partner with engineering teams to instrument tracking
- Evaluate A/B test results and recommend actions
- Create scalable reporting solutions for recurring needs
- Identify opportunities for automation in data workflows
- Maintain documentation for datasets and models
- Support roadmap planning with data-backed projections
- Analyze customer lifecycle and retention patterns
- Assess product feature usage and engagement
- Integrate qualitative insights with quantitative data
- Champion data governance and privacy standards
- Work closely with design and research teams
- Use SQL and Python for analysis and modeling
- Apply statistical methods to interpret results
- Communicate complex findings in accessible formats
Nice to Have
- Master’s degree in statistics, computer science, or related field
- Experience in high-growth consumer tech environments
- Advanced knowledge of machine learning concepts
- Experience with large-scale data systems
- Background in behavioral science or psychology
- Prior work in health or wellness technology
- Public speaking or conference presentation experience
- Open-source contributions in data science
- Experience with real-time analytics
- Knowledge of privacy-preserving analytics methods
Compensation
Competitive salary and equity package
Work Arrangement
Hybrid
Team
Product team
What We Offer
- Comprehensive health benefits
- Flexible vacation policy
- Remote-friendly work culture
- Professional development stipend
- Stock options
- Monthly wellness allowance
- Parental leave program
- Inclusive employee resource groups
Our Values
- We put customers first
- We move with urgency
- We act like owners
- We embrace diverse perspectives
- We communicate directly and kindly
