Are you highly motivated and looking to build deep technical expertise through hands-on, real-world data engineering and analytics work? Our Business Intelligence team is seeking a highly technical intern to support a critical modernization initiative focused on migrating legacy SSRS reports to a cloud-based data lake and modern semantic models.
This internship is designed for students who want to strengthen skills in data modeling, SQL development, report migration, and analytics architecture, rather than end-user reporting or business-facing analysis. The intern will work closely with experienced BI engineers on well-defined migration and design tasks that are critical to the scalability and future-state analytics platform.
If you are excited about learning modern BI architecture and contributing to foundational technical initiatives, we encourage you to apply.
A DAY IN THE LIFE
In this role, you will…
- Support the migration of legacy SSRS reports to a data lake-centric analytics architecture
- Analyze existing SSRS report logic, stored procedures, datasets, and dependencies
- Re-create report logic using SQL, data lake structures, and modern semantic models
- Design and implement semantic layers (Power BI datasets, tabular models, or equivalent) optimized for reuse and performance
- Assist with data model normalization, star schema design, and metric standardization
- Validate migrated reports and datasets for data accuracy, performance, and completeness
- Document source-to-target mappings, transformation logic, and modeling standards
- Collaborate primarily with BI engineers and architects; limited to no direct business user interaction
- Gain hands-on experience with enterprise BI modernization initiatives
- Apply academic knowledge to large-scale, real-world data systems
WHO YOU ARE
You possess …
- Undergraduate Junior, Senior, or Graduate status in Computer Science, Information Systems, Data Analytics, or related field
- Strong interest in data engineering, analytics platforms, and BI architecture
- Solid understanding of SQL, including joins, aggregations, and query optimization
- Familiarity with relational data models and dimensional modeling concepts
- Exposure to or interest in data lakes, analytics platforms, or cloud data services
- Experience with Power BI, SSRS, or other reporting tools (academic or internship experience acceptable)
- Strong analytical and problem-solving skills
- A desire to work on focused, independent technical projects
- Attention to detail and commitment to data quality and design best practices
