Product Data Analyst III
New
You must live and work permanently in the U.S. to be considered.Full-TimeSenior
Salary115,000 - 123,000 USD per year
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Job Details
- Experience
- 2+ years
- Required Skills
- SQLProduct AnalyticsData visualizationA/B testingdbt
Requirements
- 2+ years of experience in product analytics, data analytics, or a related field
- Strong SQL skills
- Experience working with modern analytics tools such as dbt, Metabase, Amplitude, Secoda, or similar platforms
- Experience supporting product experimentation and A/B testing initiatives
- Strong analytical and problem-solving skills
- Experience building dashboards, reports, and data visualizations for business stakeholders
- Ability to communicate findings clearly across technical and non-technical audiences
- Comfortable working in a fast-paced, collaborative product environment
- Experience working closely with Product and Engineering teams in a SaaS environment
- Familiarity with cohort analysis, funnel optimization, and behavioral analytics
- Background in statistics, experimentation methodology, or quantitative analysis
Responsibilities
- Partner with Product Managers to define KPIs, measure success, and support continuous discovery practices
- Analyze product usage, customer behavior, and funnel performance to identify trends and opportunities
- Support experimentation and A/B testing efforts by measuring results and translating findings into actionable recommendations
- Build and maintain dashboards and reporting in tools such as Metabase and Amplitude
- Develop analyses that help teams improve product adoption, engagement, and retention
- Work with cross-functional teams to ensure consistent metric definitions and trusted reporting
- Leverage SQL, dbt, and analytics tools to transform and analyze product data
- Enable self-service analytics by training stakeholders on dashboards, reporting tools, and best practices
- Communicate complex findings clearly and effectively to both technical and non-technical audiences
- Help foster a culture of experimentation, curiosity, and data-driven decision-making across Product and Engineering teams
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