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bigquery looker snowflake sql python📋 Description
- Own analytics lifecycle for assigned areas: framing, sourcing, analysis, and insights.
- Build dashboards and self-service reports for performance tracking.
- Write production-quality SQL and Python to extract, transform, and analyze data at scale.
- Collaborate with Data Engineers and Data Scientists to improve models and pipelines.
- Partner with leadership across Sales, Ops, Product, Finance to identify opportunities.
- Mentor analysts and contribute to standards, docs, reviews, and analytical frameworks.
🎯 Requirements
- 5+ years in data analytics, BI.
- 3+ years partnering with Sales/Operations/Product as embedded analytics.
- Advanced SQL with CTEs, window functions, and optimization.
- Python for data analysis and modeling (Pandas, NumPy, scikit-learn).
- Cloud data warehouses, esp Snowflake; BigQuery/Databricks valued.
- BI tools (Looker, Tableau, Hex) and strong stakeholder mgmt.
🎁 Benefits
- Hybrid work model with in-office days and remote flexibility.
- Up to four weeks per year of fully remote work.
- Collaborate with Data Scientists and Data Engineers.
- Mentorship and leadership opportunities in analytics.
- Access to modern data stack and BI tools.
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