Overview
Senior Manager - Product Analytics to lead experiment design, analytics execution, and operational/product impact measurement using data science and analytics practices.
What you'll do
- Lead and design complex experiments with statistical rigor and interpret results for actionable business insights.
- Partner with stakeholders to ensure efficient and reliable data systems, reducing analytics and experimentation turnaround time.
- Collaborate with data science teams to integrate models into workflows and define success metrics.
- Conduct exploratory analysis, simulations, and hypothesis testing to support business decisions.
- Define, implement, and monitor key performance metrics for platform performance and user behavior.
- Track product impact through analytics aligned to broader business objectives.
- Act as a liaison across teams, mentoring analysts and enabling data-driven decisions.
What you'll need
- 8–15 years of total professional experience, preferably in Tech, Consulting, or high-scale Analytics organizations.
- 4+ years of people management experience leading data science/analytics/operational analytics teams.
- Advanced proficiency in SQL and Python for deep analyses, RCA, and independent metric instrumentation.
- Hands-on experience with Spark or distributed data processing frameworks for scalable analysis.
- Ability to design and deploy control systems/feedback loops with engineering teams to tune algorithms in production.
- Successfully implemented and maintained data science models in production, including monitoring and post-deployment tuning.
- Comfort with observability and visualization tools including Tableau, Looker, Power BI, Grafana, Superset, or internal metric dashboards.
Details
Read the full description and apply on the company’s own careers page.
