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Education Research Manager, Recruitment Analytics job at Huron Consulting Group in US National

April 15, 2026

Title: Education Research Manager, Recruitment Analytics Location: Chicago United States Job Description: Huron helps its clients drive growth, enhance performance and sustain leadership in the markets they serve. We collaborate with education organizations to develop strategies and implement solutions that enable the transformative change our clients need to own their future. Together, we empower clients to drive innovation, create sustainable funding streams and deliver better student outcomes. Today, leaders of higher education institutions and academic medical centers are spending too much time reacting to market forces, rather than focusing on the essential priorities that help students, faculty and staff thrive. The most productive path forward requires an intentional approach and innovative thinking, whereby stakeholders across the entire institution rally around a shared vision and embrace the hard work of effecting change. You'll help our clients to achieve organizational effectiveness, improve student outcomes, implement new technologies and align resources and investments to ensure long-term sustainability. Join our team as the expert you are now and create your future. The Manager, Recruitment Analytics leads the development and application of predictive models to inform higher education enrollment and institutional financial aid strategy. This role translates complex analytical work into clear, actionable insights that support institutional senior leaders in making data‑driven decisions around recruitment and financial aid optimization. In addition to hands‑on modeling, the Manager provides technical and project leadership across client engagements and internal product development initiatives, guiding teams and partners from problem definition through implementation. The position is well suited for experienced analytics professionals seeking to expand their influence through advanced modeling, strategic client engagement, and the practical application of analytics to enrollment and financial aid decision‑making Required Qualifications Current U.S. work authorization required Bachelor's degree in a quantitative field or equivalent experience. 3+ years of experience building predictive models or machine learning systems in an applied analytics environment. Experience working at or with higher education institutions. Strong proficiency in statistical modeling and modern machine learning methods. Fluency with Python, R, SQL, or comparable tools. Demonstrated project management and delivery ownership. Ability to communicate complex concepts to non-technical audiences. Willingness to travel up to 25%. Preferred Qualifications Master's or PhD in statistics, economics, data science, or a related field. Prior consulting or client-facing analytics experience. Experience analyzing financial aid data and key enrollment management metrics. The estimated base salary range for this job is $110,000 - $160,000. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron's annual incentive compensation program, which reflects Huron's pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $126,500 - $200,000. The job is also eligible to participate in Huron's benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future #LI-JH1 #REMOTE Position Level Manager Country United States of America

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

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With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

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Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

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Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

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This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...