Data Science Marketing Analytics Co Op

Data Science (Marketing Analytics) Co-Op at Risepoint — Research Report

Introduction

The Data Science (Marketing Analytics) Co-Op at Risepoint offers a unique entry point into the rapidly evolving education technology sector. This role is valuable because it combines technical data skills with real-world marketing strategy, allowing you to see how data drives business decisions directly. The internship period has a deadline that is not mentioned, meaning you should apply as soon as possible to secure a spot. Candidates who join this program gain critical career benefits, including exposure to high-volume university data, mentorship from senior analysts, and a pathway to full-time employment in marketing analytics.

Overview of Risepoint

Risepoint is a global education technology company that partners with regional universities to launch and grow online programs. The company provides world-class support and trusted expertise to more than 100 universities and colleges, focusing on workforce-relevant degree programs in critical areas. Their primary contracting method, known as "fee for persistence," links revenue directly to student retention and progress, ensuring that Risepoint only earns when students succeed. This model aligns their goals with university partners and redistributes risk effectively.

In the EdTech industry, Risepoint occupies a niche as a strategic partner for regional universities rather than a direct competitor to massive online providers. Key competitors include companies like 2U and Coursera, but Risepoint differentiates itself through its deep focus on regional institutions and its unique revenue-sharing model. Their key products include program development, market entry strategies, and student outreach campaigns. Risepoint has significant market presence, recently named to Forbes' 2026 America's Best-in-State Companies list, highlighting its growth and stability.

The culture at Risepoint is collaborative, data-driven, and mission-oriented. Employees work in a remote environment that fosters autonomy while maintaining strong team connections. The company reputation is built on student success and innovation in higher education. People want to work here because they can directly impact the future of learners while working with cutting-edge data and marketing technologies. The environment encourages curiosity, initiative, and a focus on results over perfection.

Data Science (Marketing Analytics) Co-Op Role

Role Overview

As a co-op, you will analyze marketing data to optimize student outreach campaigns and improve conversion rates for university programs. Your day-to-day work involves cleaning large datasets, building dashboards, and interpreting trends to guide marketing strategy. The impact of your work is direct: better data insights lead to more efficient marketing spend and higher student enrollment numbers. You will bridge the gap between raw data and actionable marketing decisions, ensuring that Risepoint's outreach efforts are precise and effective.

Detailed Responsibilities

• Analyze marketing campaign performance data across multiple channels including email, social media, and web traffic.
• Build and maintain interactive dashboards using tools like Tableau or Power BI to visualize key metrics.
• Identify trends in student behavior and enrollment patterns to inform future marketing strategies.
• Collaborate with marketing teams to design and test new outreach campaigns based on data insights.
• Perform data cleaning and validation to ensure accuracy in reporting and analysis.
• Create reports that summarize findings and recommend actionable improvements for marketing teams.

Day-to-Day Workflow

Your typical day starts with reviewing the latest marketing campaign data and checking for any anomalies in the datasets. You will spend the morning cleaning data and building visualizations for ongoing reports. Mid-day often involves a team meeting to discuss campaign performance and align on next steps. The afternoon is dedicated to deep analysis, such as segmenting student data or testing hypotheses about conversion drivers. You will end the day by updating dashboards and preparing brief summaries for your manager. This workflow ensures a balance of technical execution and strategic collaboration.

Tools and Technologies

Risepoint utilizes a robust tech stack for data and marketing analytics. You will work with SQL for database querying and Python for data manipulation and statistical analysis. Visualization tools include Tableau and Microsoft Power BI for creating dashboards. The marketing team uses platforms like Google Analytics, HubSpot, and Salesforce to track campaign performance. You may also interact with cloud data warehouses such as Snowflake or AWS Redshift. Familiarity with these tools is essential for success in this role.

Skills and Requirements

Technical Skills

Strong proficiency in SQL and Python is required to handle complex datasets and perform advanced analysis. You must have experience with data visualization tools like Tableau or Power BI to create clear and impactful reports. Knowledge of statistical methods and data cleaning techniques is crucial for ensuring data accuracy. Understanding of marketing analytics concepts, such as conversion rates and customer segmentation, is also necessary. Familiarity with cloud data platforms and API integrations will be highly valued.

Soft Skills

Effective communication is vital for translating technical findings into actionable insights for non-technical marketing teams. You need strong problem-solving skills to identify data issues and develop creative solutions. Teamwork is essential, as you will collaborate closely with marketing, product, and operations teams. Adaptability is key in a fast-paced environment where priorities can shift quickly. A curious mindset and a willingness to learn new tools and methodologies will help you excel.

Experience Expectations

Risepoint targets rising juniors or seniors in relevant data science, statistics, or marketing programs. A graduate degree is not required, but a strong academic record is expected. You should have a portfolio showcasing data projects, such as dashboards, analysis reports, or coding scripts. Experience with internships or co-ops in data or marketing analytics is highly beneficial. While GPA is not the sole factor, a solid academic foundation demonstrates your commitment and capability. Practical experience with real-world data is more important than theoretical knowledge alone.

Salary and Benefits

The estimated pay range for this co-op is between $25 and $35 per hour, based on current market rates for data analytics roles in the EdTech sector. This is a competitive stipend that reflects the value of the skills you bring. Risepoint offers a fully remote work environment, allowing you to work from anywhere in the US. Additional perks include a learning budget for courses and certifications, access to internal mentorship programs, and flexible working hours. The company also provides opportunities for full-time conversion after the co-op period, making it a strategic career move.

Risepoint Hiring Process

Step-by-Step Hiring Stages

1. Application: Submit your resume, portfolio, and a brief statement of interest through the Risepoint careers portal.
2. Screening: The ATS reviews your application for keywords like SQL, Python, and marketing analytics.
3. Assignment: Complete a practical data analysis task, such as cleaning a dataset and building a dashboard.
4. Interviews: Participate in one or two rounds of interviews, including technical and behavioral questions.
5. Offer: Receive a formal offer letter detailing compensation, start date, and role expectations.

Application Timeline

You should apply as soon as you see the posting, as the deadline is not mentioned and spots fill quickly. The typical process duration is about two to three weeks from application to offer. Early applications are often reviewed first, so timing is critical. Be prepared to move through the stages efficiently, as the hiring team aims to onboard co-ops before the start of the academic term.

Screening Methods

The ATS uses keywords to filter candidates, so ensure your resume includes terms like "SQL," "Python," "data visualization," and "marketing analytics." Your portfolio is a key screening factor; recruiters look for evidence of real-world projects that demonstrate your technical skills. A clear and concise resume that highlights relevant experience will pass the initial screening. Avoid generic templates and focus on specific achievements and metrics in your project descriptions.

Interview Preparation

Example Interview Questions

• How would you analyze the performance of a marketing campaign to determine if it is driving student enrollment?
• Describe a complex data project you worked on and how you handled data cleaning challenges.
• What visualization tool do you prefer, and how do you decide which metrics to include in a dashboard?
• How do you communicate technical data findings to a non-technical marketing team?

How to Answer

Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly. Start by describing the context of the problem, then explain the specific task you were assigned. Detail the actions you took, focusing on your technical skills and analytical approach. Finally, highlight the results you achieved, using metrics to quantify your impact. This structured approach demonstrates your ability to solve problems and deliver value.

What Recruiters Evaluate

Recruiters evaluate your technical proficiency in SQL and Python, as well as your ability to apply these skills to marketing problems. They look for strong communication skills and the ability to translate data into business insights. Your problem-solving approach and adaptability are also key criteria. They want to see that you are curious, initiative-driven, and capable of working independently in a remote environment. Cultural fit and alignment with Risepoint's mission of student success are also important factors.

How to Get Selected

Practical Tips

• Tailor your resume to highlight specific data projects and marketing analytics experience.
• Create a portfolio with clear examples of dashboards, data cleaning scripts, and analysis reports.
• Research Risepoint's "fee for persistence" model and mention it in your application to show you understand their business.
• Practice SQL and Python coding problems to ensure you are ready for the technical assignment.
• Network with current Risepoint employees on LinkedIn to gain insights and potentially get a referral.

Common Mistakes to Avoid

• Submitting a generic resume that does not highlight relevant data or marketing skills.
• Failing to include a portfolio or providing links to incomplete or unclear projects.
• Ignoring the specific requirements of the role, such as the need for SQL and Python proficiency.
• Being unable to explain your thought process during the technical assignment or interview.
• Showing a lack of interest in Risepoint's mission or business model.

How to Stand Out

To stand out, build a specialized portfolio that focuses on marketing analytics and student data. Include projects that demonstrate your ability to clean data, build dashboards, and derive actionable insights. Network with Risepoint employees to show genuine interest and gain insider knowledge. Tailor your application to reflect your understanding of their unique business model and mission. Highlight any experience with EdTech or higher education data, as this is highly relevant. Finally, demonstrate your curiosity and initiative by asking thoughtful questions during the interview process.

Final Thoughts

The Data Science (Marketing Analytics) Co-Op at Risepoint is a fantastic opportunity to launch your career in the EdTech industry. By combining technical data skills with marketing strategy, you will gain valuable experience that sets you up for future success. The remote environment and flexible hours make it an accessible option for students, while the potential for full-time conversion offers a clear career path. Take action now by preparing your application and portfolio, and apply as soon as possible to secure your spot. Your journey to becoming a top marketing analyst starts here.

Frequently Asked Questions

Q: What is the salary for Data Science (Marketing Analytics) Co-Op at Risepoint?
A: The estimated pay range is between $25 and $35 per hour, based on current market rates for similar roles in the EdTech sector.

Q: How competitive is it to get hired at Risepoint?
A: It is moderately competitive, as Risepoint attracts many talented candidates. However, they prioritize curiosity and initiative over perfection, so a strong portfolio and relevant experience can help you stand out.

Q: What skills are most important for this role?
A: The most important skills are proficiency in SQL and Python, experience with data visualization tools like Tableau or Power BI, and the ability to communicate technical findings to non-technical teams.