Job Description
At ClickUp data is the key driver behind the decisions we make every day. Our teams rely on accurate and up to date data to measure their success and to build a better product. An ideal candidate would have strong SQL skills, experience conducting experiments and advising PMs on experimentation best practices, and the ability to answer challenging business/product questions through the use of a data warehouse and raw data sources.
The Role:
- Partner with product managers and executives to help drive product decisions by extracting meaningful insights from large sets of data.
- Spearhead ClickUp's experimentation efforts in Product. Design and run A/B tests, develop best practices on experimentation, and forge processes that enable the team to run fast, meaningful experiments, extracting valuable insights from results.
- Turn loosely defined problems into practical analyses.
- Acquire a deep understanding of our users and contextual data nuances, interpreting and conveying findings to key stakeholders.
- Develop a strong business sense and understanding of business performance drivers.
- Utilize proactive and autonomous initiative to understand the needs of the org and drive forward the right project while also supporting others that can benefit from your expertise.
- Data Stack: Snowflake, SQL, DBT, Eppo, Segment, Amplitude, Tableau, Hex, AWS.
Qualifications:
- 4+ experience as a Product Analyst or Product Data Scientist with 2+ years experience in SaaS.
- A strong understanding of software business principles and SaaS metrics.
- Proven expertise in conducting and interpreting A/B tests.
- Proficiency with BI tools (Tableau, Looker, QuickSight) and event tracking platforms (Segment, Heap, etc...).
- Advanced skills in SQL transformations and relational databases.
- Self-motivated, operationally-focused, and a problem-solver.
- Excellent interpersonal, written, and oral communication skills.
Desirable:
- Extensive knowledge of Amplitude and event instrumentation.
- Knowledge of product led growth initiatives and monetization/engagement drivers.
- Experience building statistical models using Python or R.
Salary Range: $145,000 - $212,500 (base pay)
