The Data Analytics Internship at Lake Michigan Credit Union aims to design and optimize data solutions that power analytics across the organization, enabling actionable insights and supporting enterprise analytics initiatives.
Requirements
- Proficiency in SQL and Python for data manipulation and pipeline development.
- Familiarity with data engineering concepts (ETL pipelines, data modeling, cloud platforms such as AWS, Azure, or GCP).
- Exposure to data governance principles and metadata management is a plus.
- Experience with visualization tools (Power BI, Tableau) and version control (Git).
Responsibilities
- Develop and Optimize Data Pipelines: Assist in building ETL/ELT workflows to ingest, transform, and prepare data for analytics using SQL, Python, and cloud-based platforms.
- Ensure Data Quality and Governance: Apply best practices for data validation, integrity, and compliance to maintain trusted datasets across the organization.
- Create Analytical Assets: Support the development of dashboards, reports, and data models that enable business teams to make informed decisions.
- Collaborate Across Teams: Work closely with Data Engineering, Business Intelligence and Data Governance teams to align solutions with enterprise data strategy and governance standards.
- Contribute to Innovation: Explore emerging technologies and techniques in data engineering to recommend improvements for scalability and performance.
Other
- Education: Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, or a related field.
- Analytical Mindset: Strong problem-solving skills and ability to work with large, complex datasets.
- Academic Performance: Minimum GPA of 3.0 or higher.
- Soft Skills: Excellent communication, collaboration, and curiosity to learn in a fast-paced environment.
