Senior Research Associate – Data Analytics

This is a fully remote position, open to applicants in United States.

📋 Description

• Process and cleanse datasets for analytical purposes

• Develop dashboards using Power BI

• Conduct statistical modeling and regression analysis on data related to education

• Formulate hypotheses and find supporting evidence for arguments while adhering to tight deadlines

• Articulate findings and key insights both clearly and succinctly

• Update project managers regularly on progress

• Proactively identify potential challenges and inquiries

• Work on dashboards that analyze academic program costs, revenues, margins, and profitability

• Contribute to various data analytics initiatives, including those focused on student success, retention, enrollment funnels, financial aid, non-matriculant, and donor analyses

⛳️ Requirements

• Proven experience working with typical academic and institutional datasets, such as course sections, faculty workload, student enrollment, compensation, and/or staffing data

• Understanding of the generation and utilization of higher education data within academic operations

• Capability to assess analytical outputs in a higher education context, investigate discrepancies, and suggest methodological refinements

• Experience preparing real-world higher education datasets, including the identification and transformation or merging of data

• Proficient in data visualization tools, particularly Power BI

• Intermediate proficiency in statistical analysis software, especially Stata and R

• Knowledge of econometric and statistical methodologies

• Ability to acquire and implement new quantitative skills

• Strong problem-solving abilities

• Capacity to collaborate effectively with senior research directors

• Excellent organizational skills and attention to detail

• Strong interpersonal and communication skills

• Ability to prioritize and manage multiple projects to meet deadlines

• Strong work ethic

• Proficient command of the English language along with demonstrated writing and editing capabilities

• High proficiency with Microsoft Office applications, including Word, Excel, and PowerPoint

• Experience with Python, database systems, SQL, or ArcGIS is advantageous

• A master’s or doctoral degree in a quantitative field is preferred; however, promising candidates with a bachelor's degree in a related area and experience in the higher education sector may be considered

• A minimum of 2–5 years of full-time work experience (or equivalent academic work) in conducting quantitative research and analysis within a higher education environment is preferred

🏝️ Benefits

• Retirement benefits

• 401K matching

• Wellness benefits

• Medical coverage for employees or their dependents

• Paid time off