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Collections Data Analyst Intern
- La Crosse, Wisconsin, United States
- La Crosse, Wisconsin, United States
About
Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.
Job Summary We are looking to hire a Collections Data Analyst Intern for our North America Region. The Collections Data Analyst Intern will work with key regional stakeholders to develop and maintain data and related analytic solutions to enhance business decision making. This role will also support and work with cross‑functional departments and teams to support initiatives to expand existing tools to support ongoing daily Order to Cash operations.
This position is located in La Crosse, Wisconsin. Applicants must currently reside in the La Crosse area to be considered, as internships require year‑round availability while attending school full‑time. The assignment is anticipated to be one year, with the possibility to continue until graduation. Hours are flexible, but students must be able to work 20 hours per week during the school year and 40 hours per week during summer and breaks. Workdays are flexible to accommodate student schedules within normal business hours.
Responsibilities
Understand data sets essential to developing models, visualizations, reports, and insights.
Deliver results on a self‑governed project, using business data and analytics tools to deliver a final data product.
Support reporting needs and technical issue intake for the Americas Collections team.
Coordinate project initiatives for the implementation of a new collections management tool for the region, including change management, communication plans, testing, etc.
Collaborate with others to develop an understanding of the data, the business, and technical approaches.
Work collaboratively with internal teams to complete projects and tasks to support the business and our customers.
Qualifications
Junior, full‑time student status in a 4‑year program, pursuing a BS/BA (with graduation in 2026) in a technical, analytics, business, or related field such as computer science, management of information systems, statistics, mathematics, business, economics, or similar.
Senior status may be considered in a 4‑year institution.
Overall GPA of 3.0 or higher.
Coursework utilizing some or all of the following: Python, R, SQL, Dataiku, Alteryx, Tableau, or other visualization software.
Must be PC literate and proficient with MS Office including Excel, Outlook, and Word.
Must be detail conscious and organized and able to effectively communicate decisions.
Responsible, dependable, and able to work well in a team environment.
Must possess excellent interpersonal skills with the ability to interact and build relationships with team personnel.
Demonstrated leadership skills such as campus organizations, sports team captain, resident advisor, or exceptional leadership of work projects.
U.S. citizen or have the legal right to work in the U.S. without requiring sponsorship now or in the future.
Compensation Hourly rate: $20–$28 per hour (the specified hourly base pay range is $22.00 per hour).
Benefits
Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs.
Family building benefits include fertility coverage and adoption/surrogacy assistance.
401(k) match up to 6%, plus an additional 2% core contribution = up to 8% company contribution.
Paid time off includes 15 vacation days, 9 paid holidays, 3 floating holidays, sick leave, and additional options to support volunteer and parental leave.
Educational and training opportunities through company programs along with tuition assistance and student debt support.
We are committed to achieving workforce diversity reflective of our communities. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.
Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.
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Languages
- English
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