Business Intelligence Intern

Location: Grand Rapids, MI

General Information

Primary Location: Grand Rapids, MI

Employee Status: Part-Time

Workplace Type: Fully On-Site

Part-Time Hours: 20-25 hours per week average

This is a temporary, onsite internship located in Grand Rapids, Michigan. Relocation assistance is not available.

Who we are

At LMCU, you'll find more than just a job - discover a fulfilling career where your contributions truly matter. Join our talented team at Lake Michigan Credit Union and discover the difference an employer who puts people first can make in your career and life.

About this position

The Business Intelligence Analyst Internship offers an opportunity to gain hands-on experience designing and delivering analytics solutions that empower data-driven decision-making across LMCU. This role is ideal for students passionate about transforming data into meaningful insights through modern reporting and visualization tools. Interns will work closely with our Business Intelligence, Data Engineering, and Data Governance teams to develop semantic models, create interactive visualizations, and support self-service analytics initiatives using Microsoft Fabric and Power BI.

What you’ll do

Develop Semantic Models: Assist in designing, building, and maintaining semantic models within Microsoft Fabric and Power BI to provide trusted, scalable, and reusable datasets for enterprise reporting and self-service analytics.

Create Reports and Visualizations: Develop interactive dashboards, reports, and visualizations that help business users understand performance, identify trends, and make data-driven decisions.

Enable Self-Service Analytics: Partner with business stakeholders to understand reporting requirements and deliver intuitive analytics solutions that empower users to explore data independently and responsibly.

Ensure Data Quality and Governance: Apply data governance standards, validation processes, and documentation practices to ensure the accuracy, consistency, and reliability of reporting assets and semantic models.

Collaborate Across Teams: Work closely with Business Intelligence, Data Engineering, and Data Governance teams to align reporting solutions with enterprise data strategy, governance policies, and business objectives.

Contribute to Innovation: Explore emerging capabilities within Microsoft Fabric, Power BI, and analytics technologies to recommend improvements that enhance usability, scalability, and performance.

Adhere to and champion our core values of curious minds, collaborative hearts, and continuous excellence

Must comply with applicable laws and regulations, including but not limited to, the Bank Secrecy Act, the Patriot Act, and the Office of Foreign Assets Control.

What you’ll bring

College student freshman, sophomore, junior, senior or master level status or a recent college graduate within the last 3 months currently pursuing a Bachelor's or Master's degree in Data Analytics, Business Intelligence, Information Systems, Computer Science, Data Science, or a related field.

3.0 GPA or greater.

Proficiency in SQL for data querying, analysis, and validation.

Experience with DAX, Power Query, or data transformation techniques is a plus.

Experience with Power BI, Microsoft Fabric, Excel, and version control tools such as Git is a plus.

Exposure to Microsoft Fabric, Power BI semantic models, or cloud-based analytics platforms is preferred.

Familiarity with Power BI and data visualization concepts.

Understanding of data modeling, dimensional modeling, and semantic layer concepts.

Knowledge of data governance principles and data quality practices is beneficial.

Strong problem-solving skills and the ability to analyze complex datasets to identify trends, opportunities, and actionable insights.

Excellent communication, collaboration, and presentation skills, along with a strong desire to learn and contribute in a fast-paced, data-driven environment.

What you’ll get

All Employees: weekly pay and retirement savings options.

Full-Time Employees: comprehensive health coverage including medical (with prescription), dental, vision, HSA match, paid parental leave, and tuition reimbursement.

To see a full list of our benefit offerings, check out this helpful guide!

Have additional questions about the role? Email the Talent Acquisition Team at: [email protected].

If you lack access to the internet or require an accommodation in the application process, please send your resume via mail to P.O. Box 2848, Grand Rapids, MI 49501-2848.

LMCU is an Equal Opportunity Employer