All applicants must include a resume, cover letter, transcript and their anticipated graduation date when submitting an application. If selected for the internship, you must be able to commit to the full 12 months. *Must be able to work onsite at Royal Credit Union Corporate Center in Eau Claire, WI throughout the school year and during breaks*This internship is a paid position. Description:The Business Intelligence Intern will work closely with Royal’s Business Intelligence & Analytics team to assist our business partners with using data, analysis, and visualizations to drive business decisions and strategies across the organization. The intern will work in partnership with IT mentors and business stakeholders to implement analytic solutions that support business strategies and create efficiencies. They may also assist in project work to improve processes within the data analytics team. Work Schedule:- Working approximately 12-15 hours per week during school year and 40 hours per week during the summer- Must be able to work onsite at Royal Credit Union Corporate Center in Eau Claire, WI throughout the school year and during breaks- This is a limited term, non-benefit eligible, position that will start May 2023 and go through May 2024. Requirements: - Enrolled at a University or Technical College throughout the length of the internship, pursuing a degree in Computer Science, Information Technology, Management Information Systems, Business Analytics or similar field.Knowledge, Skills, And Competencies:- Outstanding organizational skills with demonstrated ability to prioritize workload.- Demonstrates ability to analyze data, explain analytical processes and deliver advanced analytics in easy-to-understand, visual reports.- Ability to clearly communicate new processes and procedures.- Excellent analytical skills, critical thinking, and problem solving ability.- Driven to deliver outstanding, accurate, high-quality, and timely work on-time.- Excellent interpersonal and organizational skills.- Ability to work both independently and collaboratively as part of a team.- Be a self-described and demonstrated data geek and passionate about data or Business Intelligence- Proficient in data architecture, controls, management, modeling, and visualization- Computer programming and database familiarity - Proficient in SQL