By joining ClickUp's product-led growth team, you'll play a key role in driving exponential growth and shaping the company's future success. You'll work daily to improve our product, fulfilling our mission of making the world more productive.
The Role
- Be a player/coach manager, leading a team of product analysts to deliver actionable insights on user behavior, product success, and business performance.
- Uncover and share critical insights that will shape our product and growth roadmaps and the future of ClickUp.
- Turn loosely defined problems into practical analyses.
- Partner cross-functionally with leaders from Product, Engineering, and Growth to scale our product data infrastructure, develop analytical frameworks, and grow our analytical tools to help us make increasingly more data-driven growth decisions.
- Own product experimentation at ClickUp. Build and maintain processes and tools to enable stakeholders to self-serve, driving impact and decision-making through experimentation.
- Ensure every growth product area has health metrics to track, insights for product discovery, and post-launch success dashboards.
- Identify opportunities for our product to increase customer conversion, retention, engagement, and lifetime value through data and a deep understanding of our customers.
- Data Stack: Snowflake, Amplitude, Segment, Split & Eppo, dbt, Tableau, Hex
Qualifications
- 4+ years of experience in a highly analytical role, 4+ years in a product analytics role, ideally at a SaaS company.
- 1+ years experience as a manager of analysts.
- Proven track record of developing, motivating, and inspiring analytics teams.
- A self-starter and excellent prioritizer who moves fast and can take ownership of projects and drive them to completion with minimal guidance.
- High degree of experience translating broad questions into structured analyses.
- Strong written and verbal communication skills, with the ability to distill complex analytical solutions into actionable insights.
- A strong understanding of software business principles and metrics.
- Advanced proficiency in SQL and product analytics, as well as an understanding of data warehouse principles.
- Experience working with BI tools (Tableau, Looker, etcโฆ) and A/B testing.
- Experience with modern product analytics tech stacks.
Desirable
- Consumer and SaaS product analytics experience.
- Deep understanding of SaaS metrics.
- Technical competence to perform advanced analytics using Python.