Job Description
Job Requirement
Key Responsibilities:
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
