Senior Research Associate – Data Analytics

Hanover Research

. Process and clean datasets for analysis .

Posted 10/15/2026part-timeRemote • United StatesSenior💰 $50 per hourWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Process and clean datasets for analysis
Create dashboards in Power BI
Perform statistical modeling and regression analysis on education-related data
Form hypotheses and locate support for arguments under tight deadlines
Write findings and key takeaways clearly and concisely
Provide project managers with regular progress updates
Proactively raise potential challenges and questions
Work on dashboards analyzing academic program costs, revenues, margins, and profitability
Contribute to other data analytics projects, including student success, retention, enrollment funnel, financial aid, non-matriculant, and donor analyses

Requirements

What you’ll need

Demonstrated experience working with common academic and institutional data sets, such as course section, faculty workload, student enrollment, compensation, and/or staffing data
Understanding of how higher education data are generated and used in academic operations
Ability to evaluate analytical outputs in a higher education context, investigate anomalies, and recommend methodological adjustments
Experience preparing real-world higher education datasets, including identifying and reshaping or merging data
Experience with data visualization software, including Power BI
Intermediate-level proficiency with statistical analysis software, particularly Stata and R
Knowledge of econometric and statistical methods
Ability to learn and apply new quantitative skills
Problem-solving skills
Ability to collaborate with senior-level research directors
Organizational skills and attention to detail
Interpersonal and communication skills
Ability to prioritize and manage multiple projects to meet deadlines
Strong work ethic
Strong command of the English language and demonstrated writing and editing skills
High comfort level with Microsoft Office applications, such as Word, Excel, and PowerPoint
Experience with Python, database systems and SQL, or ArcGIS is a plus
A master’s or doctoral degree in a quantitative discipline is preferred; promising candidates with a bachelor’s degree in a related discipline and higher education industry experience may be considered
Minimum of 2–5 years of full-time work experience (or equivalent academic work) conducting quantitative research and analysis in a higher education setting is preferred

Benefits

Comp & perks

Retirement benefits
401K matching
Wellness benefits
Medical coverage for employees or dependents
Paid time away