Related skills
github sql python tableau airflow📋 Description
- Own Customer Success Intelligence, analytics, data models, pipelines, and AI tooling.
- Build cohorting, segmentation, and benchmarking with Product Data Science.
- Define health, adoption, and success scoring; track churn indicators.
- Design analytics projects linking product usage to retention outcomes.
- Lead end-to-end analytics initiatives: framing, design, build, QA, rollout.
- Produce SQL and Python outputs powering insights; use GitHub for versioning.
🎯 Requirements
- 5+ years in advanced analytics (SaaS preferred).
- Advanced SQL and GitHub; own complex data models.
- Python and/or R; statistics, cohort analysis.
- Tableau Developer-level; dashboards, metrics.
- Experience with AI tools (Cursor, Glean, Codex) and workflows (n8n, Airflow).
- Proven ability to operationalize analytics/AI for CS, Sales, or GTM.
🎁 Benefits
- Base pay range for US locations: $124,000-$186,000 USD.
- Total compensation may include bonus, equity, sign-on, and benefits.
- Klaviyo provides generous benefits and growth opportunities.
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