- Design and develop logical and physical data models for forecasting and prediction use cases

- Work with large, complex datasets to identify trends, patterns, and relationships

- Translate business requirements into scalable data solutions

- Optimize models for performance, accuracy, and maintainability

- Document data definitions, structures, and design decisions

- Ensure data quality and consistency across systems

Required Skills :

- Strong experience in data modeling (dimensional, relational, and semantic models)

- Proven track record in solving forecasting and prediction problems

- Proficient in SQL, Python, or R

- Hands-on experience with data platforms (e.g., Snowflake, BigQuery, Redshift, or similar)

- Familiarity with statistical or machine learning models

- Excellent problem-solving and analytical thinking skills

Preferred :

- Experience working in retail, supply chain, or demand forecasting domains

- Knowledge of data governance and best practices in data architecture