Senior Research Associate - Data Analytics (Part-Time Temporary Position)

The Hanover Research Council; United States; Remote; USD 58,000 - 80,000; Part time

Job summary

Hanover Research is seeking a Senior Research Associate, Data Analytics (Part-Time Temporary) to transform client higher education data into actionable dashboards and insights. You will work remotely with US and international clients to analyze costs, revenues, and program profitability, supporting tight deadlines with rigorous methods.

The role requires experience with higher education datasets, Power BI, and statistical tools such as R and Stata, plus strong writing and communication skills.

Qualifications

• Experience with higher education datasets such as course sections, enrollment, compensation, and staffing data.
• Proficiency in data visualization using Power BI and statistical software.
• Master's or doctoral degree preferred; bachelor’s with relevant experience considered.

Responsibilities

• Efficiently 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 supporting evidence under tight deadlines.
• Write up findings and key takeaways clearly.
• Provide project managers with progress updates and flag challenges.

Skills

Analytical thinking

Data troubleshooting

Communication skills

Organizational skills

Willingness to learn

Education

Master's or PhD in quantitative field

Tools

Power BI

Python

SQL

R

Stata

ArcGIS

Job description

Senior Research Associate, Data Analytics - Part-Time Temporary Opportunity

Hanover Research

Remote Opportunity

The Data Analyst will primarily be responsible for working with client data to create dashboards that help higher education institutions to better understand resource allocation across their academic portfolios, including the costs, revenue, and profitability of their academic programs.We expect all employees to be intellectually curious, ambitious, and interested in assuming increasing levels of responsibility.

High-Impact Higher Education Research

• Projects: Primarily dashboards to help clients better understand the costs, revenues, and margins of their academic programs, departments, and schools; other data analytics projects as needed, such as student success and retention analyses, determinants of progression through the enrollment funnel, financial aid optimization, non-matriculant analyses, donor analyses, and other projects.

• Clients: Hanover works with a wide range of higher education institutions in the United States and internationally, from small community colleges to large university systems and every institution type in between.

Responsibilities

• Efficiently 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 compelling support for arguments under tight deadlines
• Write up findings and key takeaways in a clear and concise manner
• Provide project managers with regular updates on project progress and proactively raise potential challenges and questions

Qualifications

• Higher Education Data Fluency: Demonstrated experience working with common academic and institutional data sets, such as course section, faculty workload, student enrollment, compensation, and/or staffing data. Candidates should understand how these data are generated and used in academic operations.
• Analytical Judgment and Data Troubleshooting: Ability to evaluate whether analytical outputs make sense in a higher education context, investigate unexpected patterns or anomalies, and recommend reasonable methodological adjustments.

Essential Skills and Attributes

• Experience working with and preparing real-world higher education datasets for analysis, including identifying and reshaping or merging data
• Experience with data visualization software, including Power BI
• Intermediate-level user of statistical analysis software, particularly Stata and R

Other Important Skills and Attributes

• Knowledge of and ability to apply econometric and statistical methods to practical research problems
• Willingness and ability to learn new quantitative skills as necessary and apply them in new contexts
• Demonstrable problem-solving skills
• Willingness to tackle complex, often unfamiliar research requests
• Ability to collaborate and strategize with senior-level research directors
• Excellent organizational skills and attention to detail
• Excellent interpersonal and communication skills
• Ability to prioritize and manage multiple short and long-term projects to meet deadlines in a fast-paced environment
• Demonstrable, strong work ethic
• Ability to accept feedback and constructive critique positively
• Strong command of the English language and demonstrated writing and editing skills, including experience writing or presenting for a business or non-technical professional audience

• High comfort level with Microsoft Office applications such as Word, Excel, and PowerPoint
• Experience with other programming languages such as Python, with database systems and SQL, or with spatial mapping and analysis tools such as ArcGIS is a plus.

Education Requirement

A master's or doctoral degree in Statistics, Mathematics, Data Science, Data Analytics, a Social Science or Higher Education with quantitative training, or a related quantitative discipline is preferred, though promising candidates with a bachelor's degree in one of these disciplines with higher education industry experience may be considered.
Experience Requirement

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.

Location

USA Remote

Office is located in Arlington, VA
#Remote #LI-Remote

Compensation

Hanover Research strives to create compensation that is competitive, equitable and fair.Thecompensationfor this part-time temporary opportunity at the company is $50.00 per hour. Please note this compensation range is contingent on the candidate's job-related knowledge, skills, and experience. Our base pay range is determined by the role and the market.

Hanover believes in supporting our team's overall well-being now and in the future. We provide retirement benefits and 401K matching to help youplan ahead, wellness benefits to keep you healthy, medical coverage to lift you up if you or your dependents get sick, and paid time away to rejuvenate. You can learn more about our benefits on our Hanover Research Careers page or please talk to your Recruiter to learn more.

Hanover strives to be accessible to all users and job seekers. If you are a qualified individual with a disability and need assistance in accessing our website or completing a job application, please contact Hanover Research at 202-559-0050 or via email [e-mail]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

Hanover Values

• Business Building - We build our business quickly and intelligently and we help our clients do the same
• Thought Leadership and Innovation - We strive constantly to deliver better information in a better way
• Service - To our clients and our community, service is our guiding principle
• Leadership and Mentorship - Our talent is our greatest asset, and we hope to help our people be their best
• Firm Citizenship - We are optimists who believe there are endless possibilities for our company and ourselves

Hanover Research provides equal employment opportunities to all employees and applicants for employment without regard to their race, color, creed, religion, national origin, gender, sexual orientation, gender identity or expression, disability, veteran status, age, marital status, familial status, genetic information, or status with regard to public assistance, or membership or activity in a local human rights commission, any other characteristic protected by applicable federal, state, or local law. You can learn more on our Equal Employment Page.