[Hiring] Senior Research Associate @Hanover Research

Role Description

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
• 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.
  • Understanding 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.

Requirements

• 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.
• 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

• Compensation: $50.00 per hour, contingent on the candidate’s job-related knowledge, skills, and experience.
• Retirement benefits and 401K matching.
• Wellness benefits.
• Medical coverage.
• Paid time away to rejuvenate.

How to Apply

If you are interested in the prospect of working for a dynamic, fast-growing company, we encourage you to submit your resume and any other supporting materials.

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 [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.