Related skills
sql python excel data pipelines data quality📋 Description
- Own end-to-end data quality and coverage for DPP markets, flows, geographies
- Lead data investigations, identify root causes, and implement fixes
- Validate, ingest, and backtest data against external benchmarks
- Act as Data Ops focal point for DPP with Data Scraping, Product, and Engineering
- Identify data gaps and drive granularity/accuracy improvements
- Mentor junior analysts and translate client feedback with Sales/CS
🎯 Requirements
- Bachelor's degree in Economics, Engineering, Energy, Data Science, or related field
- 5-8 years in oil markets with crude or refined products
- Strong understanding of global trade flows, shipping, and refinery dynamics
- Advanced data handling: Excel (Advanced), SQL (Intermediate), Python (Basic to Intermediate)
- Proven experience with large, complex datasets and data quality improvements
- Familiarity with data pipelines, scraping, or data architecture concepts
🎁 Benefits
- Mentoring junior analysts to raise team capability
- Cross-functional work with Product, Engineering, and Commercial
- Global team with 35+ countries
- Opportunity to drive data quality improvements and product value
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