Marketing & Ops Analytics Co-Op

About the role

As a Strategy & Analytics Co-op at Risepoint, you will play a meaningful role in the Marketing & Operations, Strategy & Analytics team, partnering closely with the analytics team to help shape the future of the organization through data-driven insights and strategic thinking. You’ll collaborate across functions and gain exposure to a wide range of stakeholders—including senior leaders—while contributing to projects that influence key business decisions.

Responsibilities

• Structure strategic projects for key products, marketing, strategy, revenue, and enrollment services functions
• Execute end-to-end data analytics projects by pulling/cleaning data, extracting key insights, communicating hypotheses to senior stakeholders, and impacting marketing strategies & operations functions
• Design and create analytical tools, strategic initiatives, and processes that boost the organization’s ability to deliver insights internally to senior leadership and externally to university partners
• Contribute to Risepoint's AI-first analytical practices by incorporating tools like Claude and Databricks Genie into day-to-day workflows to accelerate analysis and communication (AI is a productivity tool, not a replacement for analytical judgment; you retain full ownership and accountability for work product)
• Brainstorm and launch new projects to proactively detect KPIs and inform university partners about strategic issues, performance, and operations
• Form a deep understanding of Risepoint’s processes, systems/tools, personnel, strategic direction, and broader market ecosystem (university partners, marketing channels, contact center strategies and workflows)
• Collaborate cross-functionally with senior Directors and VPs to communicate data insights and make data-informed decisions

Requirements

• Active, enrolled student in Spring 2027 (or Fall 2026) to apply
• Strong proficiency and/or working experience in Databricks, SQL, Excel modeling, and data analysis
• Demonstrated ability to conceive and execute quantitative analysis and deliver data-driven insights
• Strong analytical and problem-solving skills

Preferred Qualifications

• Prior working experience using Databricks, SQL, Excel modeling, and data analysis to clean data, extract insights, and communicate takeaways to leadership
• Prior internship or co-op experience preferred
• Agile workstyle to meet evolving business needs in a dynamic and fast-paced work environment

Schedule

• Co-op duration: January 2027 through June 2027, with flexibility on start and end to accommodate academic schedules
• Weekly schedule: Full-time, 40 hours per week, Monday through Friday