Risepoint assists primarily regional universities in increasing their access and impact by making their academic programs available to students online. Founded in 2007, Risepoint mission is to expand access to high-quality, affordable, and workforce-relevant education, especially for working and adult students. Risepoint brings single-minded dedication to student success, an integrated set of services, and data-driven performance to our collaboration with university partners. This co-op will be embedded in strategic, high-impact analytics and data projects that support Risepoint’s partner performance and marketing intelligence efforts.
Requirements
- Strong SQL skills (advanced querying, optimization, CTEs, joins, etc.)
- Familiarity with PySpark and Databricks (or similar distributed data platforms)
- Experience building dashboards in Power BI (DAX, modeling, layout)
- Strong Excel skills
- Experience with Python, or scripting for automation
- Exposure to AI tools and applications (e.g., copilots, automated insights)
- Hands-on experience working with large-scale datasets
Responsibilities
- Structure and manage intermediate data layers using SQL and PySpark within Databricks.
- Build high-quality queries to support dashboards and performance monitoring tools.
- Support end-to-end analytics projects across performance, budget, and marketing operations.
- Conduct exploratory data analyses and deliver concise, actionable insights.
- Support the setup of dashboards and visualizations using Power BI.
- Work cross-functionally with Data Science, Engineering, and Strategy teams to automate key processes and ensure robustness.
- Contribute to the foundation of the team’s data architecture and performance analytics stack.
Other
- Co-op Duration: January 2026 to June 2026
- Weekly Schedule: 40 hours/week, Monday through Friday
- Problem-solving mindset with a bias for automation
- Structured analytical thinking and ability to work independently
- Clear communication and ability to present ideas to stakeholders
- Curiosity and eagerness to learn and improve through hands-on challenges
- Ability to navigate ambiguity and bring structure to undefined problems
- Confidence working with large datasets and translating business problems into data questions
- Collaborative mindset and ability to communicate effectively with technical and non-technical audiences
- Ownership mentality and ability to prioritize independently while balancing multiple projects
- Comfort with fast-paced environments, continuous feedback, and dynamic priorities
