Senior Product Analyst
New
N
NicheEducation technology
We are currently recruiting for this role in Argentina and Brazil only. We will not be considering US based candidates at this time.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years in product analytics, data analytics, or a closely related data role
- Required Skills
- PythonSQLSnowflakeA/B testingdbt
Requirements
- Have 5+ years of experience in product analytics, data analytics, or a closely related data role.
- Demonstrate experience designing and analyzing A/B tests and owning product measurement end to end.
- Have hands-on experience analyzing web or app behavioral data using GA4, GTM, PostHog, Amplitude, Mixpanel, or similar tools.
- Have hands-on experience using Claude, Claude Code, or similar AI tools in analytics work, including workflows built or automated.
- Have a track record of influencing product decisions and roadmaps with data.
- Translate complex findings into clear recommendations for non-technical partners and explain when data cannot support a question.
- Write, review, and debug complex SQL queries independently.
- Have a strong grounding in statistics and experimentation, with Python or R for analysis.
- Have experience with Snowflake, dbt, and version-controlled analytics work.
- Have strong dashboarding skills in Streamlit, Looker, or similar.
- Use AI tools effectively by providing context and validating generated queries and results.
- Hold a bachelor's degree in Statistics, Data Science, Economics, Computer Science, or a related quantitative field, or have equivalent practical experience.
Responsibilities
- Partner with product teams on planning and roadmap conversations, identifying and sizing opportunities.
- Define product metrics and maintain consistent definitions across dashboards and the semantic layer.
- Measure product funnels, feature adoption, engagement, and retention for family-facing and school-facing experiences.
- Analyze user behavior and segments, and pair findings with recommendations and next steps.
- Design, size, track, and interpret A/B tests, and measure launches that cannot be randomized using appropriate causal methods.
- Write measurement requirements and GA4 event specifications, build and test GTM tags, and partner with Data Engineering on data needs.
- QA product data after launch and review GTM changes, consent impacts, tracking gaps, and data quality.
- Build and maintain dashboards, self-serve views, dbt models, and the semantic layer.
- Use Claude and Claude Code for analytics work and build reusable skills, context, and automated workflows.
- Present findings to product and company leadership, and mentor analysts through analysis reviews.
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