Intern - Operations Analytics; Hybrid in MI

Description

Who We Are:

A Top Place to Work

We believe in small businesses and the people who grow them. At Credibly, we leverage cutting-edge data science, technology, partner relations, and customer support to provide business owners with accelerated access to right‑sized capital solutions. From working capital loans and merchant cash advances to lines of credit, we offer a suite of financing products that can accommodate nearly any stage of business development or credit profile.

Founded in 2010 with offices in Michigan, New York, and Arizona, we have provided access to over $2.3 billion to more than 46,000 small businesses nationwide. On top of being nominated as one of Crain’s 50 fastest growing companies in New York and making several appearances on the Inc. 500 list, Credibly was also recently named a Top 25 Lending Technology Company by The Financial Technology Report.

The Operations Analytics intern is a key contributor to our team, helping the organization gain visibility into performance through data, automating manual processes, and driving efficiency building projects from start to finish. This role is designed for a data‑minded student who is passionate about turning raw numbers into actionable business insights. This position is hybrid and based out of our Southfield, MI office.

• Design, build, and maintain automated dashboards to provide real‑time visibility into key business metrics.
• Write and optimize SQL queries to retrieve data from various internal databases to increase efficiency of analysis and reporting.
• Analyze existing manual data workflows to identify bottlenecks; propose and implement automated SQL to clean, aggregate, and transform raw data into a format ready for visualization and executive reporting.
• Ensure the integrity and accuracy of data within reports and dashboards through regular auditing and cleanup.

• Junior or Senior currently enrolled in a Bachelor’s degree program in Statistics, Mathematics, Economics, Business Analytics, or Computer Science.
• Must have strong knowledge of SQL (joins, subqueries, and data manipulation).
• Proven ability to analyze complex data sets and translate them into easy‑to‑understand visual reports.
• Strong attention to detail with a commitment to data accuracy and process efficiency.

• Experience with Power BI, Tableau, Sigma Computing, AWS Quicksight, or Google Looker Studio.
• A natural curiosity to “work smarter, not harder” by exploring new automation tools or scripting (like Python, Excel VBA, Apps Script).
• A self‑starter who stays up to date with the latest trends in data analytics and reporting technology.
• Ability to explain technical findings to non‑technical stakeholders.

• Final date to receive applications:
  March 31, 2026
• Date you will hear back by:
  May 15, 2026
• Start Date:
  
  June 1, 2026