
1001 - 5000 employees
Founded 2007
💼 Consulting
📣 Marketing
📚 Education
Consulting • Marketing • Education
Risepoint is an education technology company that partners with regional public and private universities to design, launch, and grow workforce-focused online degree programs. It provides marketing, student support, faculty support, technology implementations, performance monitoring, and student ROI research to help institutions expand access, increase enrollments, and deliver high-return programs for working adults.
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1001 - 5000 employees
Founded 2007
💼 Consulting
📣 Marketing
📚 Education
Consulting • Marketing • Education
Risepoint is an education technology company that partners with regional public and private universities to design, launch, and grow workforce-focused online degree programs. It provides marketing, student support, faculty support, technology implementations, performance monitoring, and student ROI research to help institutions expand access, increase enrollments, and deliver high-return programs for working adults.
• Support end-to-end analytics projects across the Analytics Solutions team • Pull, clean, transform, and validate data • Extract key insights and communicate hypotheses to stakeholders • Write and optimize SQL queries in Databricks • Build and maintain Power BI dashboards and reporting experiences, including semantic models and DAX measures • Incorporate Claude and Databricks Genie into analytical workflows • Conduct exploratory funnel, cohort, and performance analyses • Surface KPIs and connect marketing investment to enrollment outcomes • Develop understanding of Risepoint’s data, systems, tools, processes, personnel, and strategic direction • Collaborate with senior Directors and VPs to communicate data insights and support data-informed decisions • Deliver reliable analyses, dashboards, and actionable recommendations • Work closely with a Director, Manager, and Analysts
• Must be an active, enrolled student in Spring 2027 • Strong proficiency and/or working experience in SQL, Databricks, Excel modeling, Power BI, and data analysis • Demonstrated ability to conceive and execute quantitative analysis and deliver data-driven insights • Strong analytical and problem-solving skills • Prior internship/co-op experience preferred • Good communication and presentation skills • Strong attention to detail • Ability to prioritize and manage multiple projects and concurrent workstreams • Ability to maintain analytical accuracy under time pressure • Ability to work effectively in cross-functional teams • Ability to work full-time, 40 hours per week, Monday through Friday, during the January 2027 through June 2027 co-op period
• Full-time co-op experience, 40 hours per week, Monday through Friday • Mentorship from senior leaders • Hands-on, real-world analytics experience • Exposure to senior leaders and cross-functional stakeholders • Professional growth through end-to-end analytics projects
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