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data analysis sql python machine learning data quality📋 Description
- Define problems and measurement; translate questions into hypotheses and success metrics.
- Design, analyze, and interpret A/B tests; ensure correct tracking and guardrails.
- Build baseline predictive and segmentation models with clear evaluation.
- Prototype AI-assisted analytics with guardrails and validation.
- Create reusable analytics assets; collaborate with data engineering to productionize pipelines.
- Validate data quality; monitor metrics; document assumptions and sanity checks.
🎯 Requirements
- Fresh graduate or < 1 year in relevant roles (internships, capstone, or part-time)
- Strong SQL fundamentals (joins, aggregations, window functions)
- Python for data (data manipulation, statistics, basic modeling)
- Strong analytical thinking: define problems, validate data, explain results
- Strong attention to detail and reliable outputs
- Teamwork: ability to work effectively in a team-oriented environment
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