Product Data Analyst
Skills
Computer ScienceSoftware As A ServiceAdoptionBusiness IntelligenceCustomer ExperienceData WarehousingResearch And Development
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 4–6+ years of experience in Product Analytics or similar role supporting B2B SaaS or enterprise software products
- Strong SQL skills and experience querying large datasets from multiple applications in a data warehouse such as Snowflake
- Experience with product analytics tools such as Pendo or Google Analytics and BI tools such as Sigma
- Experience defining and measuring KPIs such as activation engagement retention churn and feature adoption
- Work samples demonstrating depth breadth and business impact
- Experience working in B2B SaaS enterprise or technically complex platforms
- Proven experience working with multi-disciplinary teams to ideate iterate launch and refine new product designs
- Experience with statistical tools such as R or Python
- Degree in Statistics Data Science Economics Computer Science or related quantitative field or equivalent experience
Nice to have
- Strong attention to detail
- Problem solving
- Clear communication
- Multitasking
- Curiosity
- Humility
- Openness
Day to day
- Partner with Design Content Product Management Engineering and customer-facing teams to uncover actionable insights from behavioral and product usage data.
- Translate ambiguous business questions into structured analyses and clear recommendations that improve user experience adoption retention and business impact.
- Build and maintain dashboards self-serve reporting frameworks and reliable instrumentation that help teams make data-informed product decisions.