Related skills
bigquery sql python dbt airflow📋 Description
- Build and own package-level unit economics data models across markets.
- Develop analytic scaffolding for pricing reviews: margins, dashboards, demand signals.
- Integrate competitive pricing data into models for benchmarking and price distance.
- Build data inputs for pricing decisions: elasticity, competition, segment performance.
- Own semantic layer and metrics for pricing and commercial domains across tools.
- Write Python tooling for simulations, scenario analyses, pricing rules, and monitoring.
🎯 Requirements
- Bachelor's or Master's in a quantitative field (stats/economics/math/CS).
- 5+ years in analytics engineering, data engineering, or analytics with modeling.
- 2–3 years direct experience in pricing analytics, revenue optimization, or pricing data infra.
- Proficient in Python for production data work and pipelines.
- Strong SQL and data modeling; robust dimensional models.
- Hands-on dbt (Core/Cloud) for transformations, testing, and documentation.
🎁 Benefits
- Remote work
- Generous PTO
- Wellness and learning allowances
- Annual Airalo Away retreat
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