Required Skills & Experience
- Bachelor’s degree in a quantitative field (e.g., Computer Science, Data Science, Information Systems, Engineering) with 4-6 years of handson experience
- Experience supporting Power BI or similar BI tools, including building models optimized for reporting performance
- Understanding of predictive analytics concepts and experience designing data structures that support forecasting, trend analysis, and machine learning workloads
- Strong proficiency in SQL, including writing complex queries and designing relational schemas
- Proven experience designing and maintaining relational databases or analytical data warehouses
- Hands-on experience with database definition and manipulation languages (DDL and DML) to create, modify, and maintain tables and structures
- Experience building and managing data pipelines using APIs, including incremental data loading
- Proficiency in Python or a similar language for data ingestion, transformation, and automation
- Solid understanding of ETL/ELT concepts and managing data transformations upstream of reporting tools
- Experience handling semi-structured data (e.g., JSON) and managing schema evolution
- Understanding of data architecture principles, including designing data solutions with future scalability and platform migration in mind