Salary
💰 $185,000 - $215,000 per year
Tech Stack
BigQueryCloudPythonSQLTableau
About the role
- Analyze user funnels to identify drop-off points and optimization opportunities
- Build cohort analyses (or similar)
- Understand retention patterns and user lifecycle
- Work with product and marketing to develop segmentation strategies
- Create predictive models for user activation, conversion, and churn
- Design dashboards that track growth metrics and experiments
- Partner with product and marketing teams to design A/B tests
- Analyze experiment results with appropriate statistical methods
- Document learnings and build institutional knowledge
- Develop growth product roadmaps based on impact and effort
- Define and instrument key growth metrics (activation, engagement, retention)
- Build regression-based product attribution models that connect user behaviors and characteristics to retention, health scores, and product engagement outcomes
- Develop health scores and user quality metrics
- Create early warning systems for user churn
- Track and analyze both self-serve and sales-assisted conversion paths
- Collaborate with engineering on data infrastructure and instrumentation
- Support marketing with campaign analysis and audience selection
- Enable sales teams with lead scoring and account intelligence
- Partner with product on feature impact analysis
- Communicate insights to stakeholders at all levels
Requirements
- 5+ years in data science or analytics roles
- Growth team experience at a product-led company
- Experience with growth, product, or marketing analytics
- Strong SQL skills
- Proficiency in Python
- Understanding of statistical testing and experimental design
- Experience with subscription or SaaS business models
- Track record of driving business impact through analysis
- Preferred: Understanding of product-led sales motions; Knowledge of both B2C and B2B analytics; Familiarity with growth frameworks and best practices; Experience in EdTech or seasonal businesses; Background in two-sided marketplaces or network effects
- Work authorization: Must be authorized to work in the United States or Canada without visa sponsorship (role open only to U.S and Canada.-based candidates authorized to work without visa sponsorship).