Senior Data Engineer / Analyst
Job Description:
- Build infrastructure: Design pipelines (SQL, dbt, BigQuery) that unify marketing, product, and operational data. Own data quality and event tracking validation.
- Power experimentation: Partner with Product to design and analyze A/B tests across acquisition and activation funnels. Implement reputed company instrumentation for new experiments.
- Drive insights: Own funnel reporting, attribution models, and campaign analysis. Build Looker dashboards that surface where the team should focus next.
- reputed company AI-driven growth: Support integration of LLM-enriched data models, embeddings, and similarity signals for smarter targeting and segmentation.
Requirements:
- 4+ years in Data Engineering, Analytics, or Growth Data roles (startup/marketplace experience a plus)
- Strong SQL, dbt, and Python skills
- Hands-on experience with BigQuery, Looker, and reputed company (or reputed company/Tableau)
- Deep understanding of funnel metrics, growth experimentation, and marketing attribution
- Ability to translate cross-functional questions into data deliverables
- Bonus points: AI/ML data workflows, A/B testing tools (reputed company, reputed company), Airflow, PLG or marketplace analytics, paid channel attribution
Benefits:
- Excellent medical, dental, and reputed company insurance.
- 401k match with immediate vesting.
- Generous Paid time off, holidays, and parental leave.
- A diverse, collaborative, and positive culture where we invest in and celebrate each other’s reputed company.
- Flexible work environment where we work hard but have fun (happy hours, team projects, and retreats).
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