Edtech.com's Summary

Risepoint is hiring a Strategy & Analytics Co-Op to join their Performance Analytics team. The role involves managing data infrastructure, conducting exploratory data analyses, and supporting the development of automated, scalable analytics solutions using tools like SQL, Power BI, and Databricks, directly collaborating with leadership and cross-functional teams.

Highlights

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
Set up dashboards and visualizations in Power BI
Work cross-functionally with Data Science, Engineering, and Strategy teams to automate processes
Strong skills required in SQL, PySpark, Databricks, Power BI, and Excel
Co-op duration from January 2026 to June 2026, full-time 40 hours per week
Direct exposure to VP and Director-level leadership in Analytics & Strategy
Desirable experience includes Python scripting and familiarity with AI tools
Requires structured analytical thinking, problem-solving mindset, and clear communication skills

Strategy & Analytics Co-Op Full Description

Strategy & Analytics Co-Op

US - Remote

Full time

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

We are seeking a driven, highly motivated Strategy & Analytics Co-Op to join our Performance Analytics team. This co-op will be embedded in strategic, high-impact analytics and data projects that support Risepoint’s partner performance and marketing intelligence efforts. The role blends data engineering, analytics, and automation, with a strong focus on SQL, Power BI, and Databricks.

The successful candidate will collaborate directly with the VP main projects, team leads, and data science stakeholders to build data infrastructure, uncover insights, and bring analytical solutions to life through scalable and automated workflows.

Key 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.
Apply structured thinking to ambiguous problems, contributing directly to impactful business decisions.

What to Expect

Co-op Duration: January 2026 to June 2026
Weekly Schedule: 40 hours/week, Monday through Friday
Direct exposure to the VP and Director-level leadership in Analytics & Strategy
Opportunity to drive automation-first solutions across high-priority analytics areas

Required Skills

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
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

Nice-to-Have

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

What You’ll Need to Succeed

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

Hear From Our Past Co-Ops

Interested in learning more? Read about our past Northeastern co-ops here to find out how they made a long-lasting impact on Risepoint and shaped their co-op paths for their unique career journeys.

RisePoint is an equal opportunity employer and supports a diverse and inclusive workforce

Original Job Description

Strategy & Analytics Co-Op

US - Remote

Full time

Key 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.
Apply structured thinking to ambiguous problems, contributing directly to impactful business decisions.

What to Expect

Co-op Duration: January 2026 to June 2026
Weekly Schedule: 40 hours/week, Monday through Friday
Direct exposure to the VP and Director-level leadership in Analytics & Strategy
Opportunity to drive automation-first solutions across high-priority analytics areas

Required Skills

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
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

Nice-to-Have

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

What You’ll Need to Succeed

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

Hear From Our Past Co-Ops

Interested in learning more? Read about our past Northeastern co-ops here to find out how they made a long-lasting impact on Risepoint and shaped their co-op paths for their unique career journeys.

RisePoint is an equal opportunity employer and supports a diverse and inclusive workforce

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Strategy & Analytics Co-Op

Edtech.com's Summary

Strategy & Analytics Co-Op Full Description

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