Data and Analytics Intern
About The Position
We are looking for a Data & Analytics Intern to help improve the reliability, visibility, and quality of our enterprise data warehouse. This role focuses on building automated system checks, monitoring workflows, and data validation processes that ensure our data is accurate and dependable. You will work directly with the data team to identify failure points, implement safeguards, and improve how we detect and resolve data issues. Reliable data is critical to how the business operates and makes decisions. This role directly contributes to improving trust in our data systems. This is not a dashboarding role. It is a systems and problem-solving role focused on making data infrastructure more robust over time.
Requirements
- Currently pursuing a degree in Information Systems, Computer Science, Data Analytics, or related field
- Strong working knowledge of SQL (ability to join datasets, validate logic, and troubleshoot data issues)
- Strong problem-solving skills and attention to detail
- Ability to independently investigate and troubleshoot ambiguous data issues
Nice To Haves
- Experience with Power Automate, Power BI, or similar tools
- Exposure to data pipelines, ETL/ELT processes, or cloud data platforms
- Basic programming experience (e.g., Python)
- Interest in data quality, automation, or data engineering
Responsibilities
- Design and implement automated data quality and system checks using Power Automate and other automation tools
- Build workflows to monitor data pipelines, freshness, and integrity
- Create alerting mechanisms to proactively identify failures or anomalies
- Improve visibility into system health through logging, reporting, and documentation
- Assist in building and maintaining data models, tables, and pipelines
- Perform data validation and QA across key datasets
- Help standardize data definitions and governance practices
- Contribute to documentation of data architecture and processes
- Investigate and resolve data discrepancies and pipeline issues
- Support onboarding of new datasets into the warehouse
- Build lightweight solutions that reduce manual work or improve team efficiency
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What This Job Offers
Job Type
Part-time
Career Level
Intern
Number of Employees
251-500 employees
