The Research, Analytics & Data Science (RAD) team uses data to enable evidence-based decision-making, partnering across R&D to help the company understand users, products, and business metrics.
Key Responsibilities
- Partner with product teams, identifying important questions and answering them through data analysis.
- Collaborate with product managers, designers, and engineers developing success metrics and measuring outcomes.
- Design and maintain end-to-end data pipelines, working with stakeholders on data collection and refinement.
- Build understanding of customers and products alongside product researchers.
- Influence product roadmap through experimentation and quantitative research.
- Build and automate models and dashboards.
- Communicate findings across the organization.
- Shape RAD foundations and organizational operations.
Required Skills
- 5+ years of data problem-solving experience.
- Excellent SQL skills and statistical/analytical competency.
- Track record delivering actionable insights with minimal supervision.
- Strong technical and non-technical communication abilities.
- Growth mindset with an ownership focus.
- Scientific computing language experience (such as R or Python).
Bonus Skills
- BI/visualization tools (Tableau, Superset, Looker).
- Data modeling and ETL pipeline experience.
- Product team experience.
- AI tool proficiency for data science workflows.