The company needs to extract meaningful insights from large sets of data to drive product decisions and measure success.
Requirements
- Advanced skills in SQL transformations and relational databases
- Proficiency with BI tools (Tableau, Looker, QuickSight) and event tracking platforms (Segment, Heap, etc...)
- Experience with data stack: Snowflake, SQL, DBT, Eppo, Segment, Amplitude, Hex, AWS
- Extensive knowledge of Amplitude and event instrumentation
- Knowledge of product led growth initiatives and monetization/engagement drivers
- Proven expertise in conducting and interpreting A/B tests
- Experience building statistical models using Python or R
Responsibilities
- Partner with product managers and executives to help drive product decisions by extracting meaningful insights from large sets of data
- Turn loosely defined problems into practical analyses
- Acquire a deep understanding of users and contextual data nuances, interpreting and conveying findings to key stakeholders
- Design and run A/B tests, in collaboration with PMs, extracting valuable insights from results
Other
- 2+ experience as a Product Analyst or Product Data Scientist, ideally with experience in SaaS
- A strong understanding of software business principles and SaaS metrics
- Self-motivated, operationally-focused, and a problem-solver
- Excellent interpersonal, written, and oral communication skills
- Equity, 401k, Health, Dental, and Vision insurance, Spending accounts, Life & Disability, Paid parental leave, Flexible paid time off, Enhanced employee assistance program, Employee wellness stipend, Professional development stipend
