Senior Research Associate - Data Analytics - Higher Education Team

Hanover Research

21h • $53,800 - $68,000 • Remote

About The Position

Hanover Research – Senior Research Associate, Data Analytics – Higher Education Arlington, VA Remote Opportunity The Senior Research Associate will be responsible for quantitative research reports and strategic briefings on a wide variety of education research topics. This position will allow for the swift development and refinement of applied set of research skills and provides the opportunity to develop a relationship with a young and rapidly growing enterprise. We expect all employees to be intellectually curious, ambitious, and interested in assuming increasing levels of responsibility. This is an entry/mid-level applied research position and candidates with greater experience may be considered for more senior roles which include supervising other researchers. This position will report to the Senior Director of Higher Education Data Analytics. High-Impact Education Research Projects: Determinants of successful progression through academic career from inquiry to graduation; Donor analysis; Financial Aid Optimization; etc. Work with different types of higher education institutions from large university systems to small community colleges and everything in between; interact with various stakeholders in different administrative departments, contribute to the methodological approach to the analyses, and wrangle real-world data required to address those needs (both from the client side and from publicly available sources like IPEDS); be ready to tackle "left-field" project requests which our Higher Education clients invariably come up with.

Requirements

• Intermediate level user of statistical analysis software, particularly Stata and R
• Knowledge of and ability to apply econometric and statistical methods to practical research problems
• Experience working with and preparing real-world datasets for analysis, including identifying and reshaping or merging data
• High comfort level with Microsoft Office applications, such as Word, Excel, and PowerPoint
• 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
• A Master’s or Doctoral degree in Statistics, a Social Science with quantitative training, or a related quantitative discipline is preferred, though promising candidates with a Bachelor’s degree in a related quantitative discipline may be considered for some positions
• 2 - 5 years of full-time work experience (or equivalent academic work) conducting quantitative research and analysis is preferred

Nice To Haves

• Experience with, or ability to learn, data visualization software such as Microsoft Power BI
• Experience with other programming languages such as Python, or with database systems and SQL is a plus
• Experience working in the Higher Education sector (for example, in institutional research) is a plus

Responsibilities

• Process and clean datasets for analysis
• 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

Benefits

• Starting at 18+ days Paid Time Off
• 14 paid holidays including Martin Luther King Jr. Day, Juneteenth, and Indigenous People’s Day, and personal holidays
• 401(K) employer matching programs
• Comprehensive health and dental benefits package
• Health and wellness packages with discounts to local gym
• Community service opportunities
• In-office snacks and beverages

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 251-500 employees