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Job Description
Minimum Qualifications
- B.Sc. in Statistics, Mathematics, Industrial Engineering, Computer Science, or a related field
- 5+ years of experience in a Data Analyst or similar role
- Strong SQL skills, with experience querying large-scale data (preferably with Trino or similar engines)
- Hands-on experience with PySpark for data processing and analysis
- Experience working with modern data lake architectures (e.g., Iceberg, Parquet)
- Proficiency in Python (Pandas, NumPy)
- Experience using AI-assisted tools (LLMs, copilots, etc.) to accelerate analysis and exploration
- Solid understanding of statistics and data analysis techniques
- Experience working with real-world, messy, or time-series data
- Strong analytical thinking and problem-solving skills
- Ability to work independently and drive insights from ambiguous data