Research Analyst

Employer Info:

Bowdoin College

Founded in 1794, Bowdoin has maintained its commitment to the liberal arts for well over 200 years. Bowdoin’s reputation as a preeminent liberal arts college rests on the excellence of its faculty, students, and staff; intimate size; strong sense of community; and connections to the people, history, and natural beauty of Maine. Bowdoin’s campus is situated in a beautiful natural setting. Located in Brunswick, Maine, a town of approximately 20,000, the College is a short drive from the Maine coast, twenty-five miles from Portland and 120 miles from Boston. Bowdoin embraces diversity in all forms, and the College is home to talented students, faculty and staff—with a variety of racial, ethnic, cultural, and socioeconomic backgrounds; religious beliefs; and gender identities, among other factors.
Job Name
Research Analyst
Posting Date
Brief Description
Bowdoin College seeks a collaborative individual to join the Office of Institutional Research, Analytics & Consulting, which collects, analyzes and interprets data to inform campus conversations and decision making.

The Research Analyst will manage all aspects of institutional surveys -- the creation, administration, analysis and reporting of survey results to diverse stakeholders, including senior leadership. With a “can-do” attitude, the analyst will utilize a broad range of research and analytical techniques to interpret data. They will partner with Academic Affairs and Student Affairs, and occasionally other divisions, to help with assessment efforts.

As part of a team energized by supporting the mission of a liberal arts college, the research analyst will summarize institutional data for various departments across the College. A desire for continuous learning, a commitment to collaboratively improving processes, and the humility to embrace change are key to succeeding in this position.
Job Category
Institutional Research
Job Type
Education Level Required
Location City
Brunswick, ME 04011, United states
How to Apply
First consideration will be given to applications received, via the HR website, by November 13, 2020

Interviews for this position will be held virtually. The Research Analyst will work remotely, along with other members of the IRA&C office, during the public health crisis.
Direct Link
Click here for more info
Job Details
  • Bachelor’s degree
  • Excellent organizational skills, attention to detail, and accuracy
  • Strong quantitative and analytical skills
  • Basic understanding of descriptive statistics and quantitative methods
  • Exceptional verbal, written communication, and presentation skills
  • Excellent interpersonal communications skills
  • Demonstrated commitment to work within a diverse environment and interact with individuals of different backgrounds
  • Ethical judgement and the ability to be tactful, discreet, and maintain confidentiality with sensitive data
  • Proven ability to work independently, be self-directed, and manage multiple tasks and changing priorities
  • Committed to quality control and developing processes to ensure data quality
  • Advanced proficiency in Excel, Word and PowerPoint
  • Demonstrated excellence in customer service
  • Master’s degree, preferably in social science, statistics, education, business or a related field
  • Proven ability to produce creative and effective data summaries and visualizations
  • Knowledge or experience with statistical packages such as SPSS, SAS or R
  • Knowledge of inferential statistics (e.g., t-tests, chi-square)
  • Knowledge of data visualization best practices
* At least two years of related experience in the use of data or business analysis
* Experience designing, administering and analyzing surveys
* Experience summarizing data using descriptive statistics
* Experience in an institutional research office or higher education
* Experience with survey design, administration, and software (Qualtrics preferred)
* Experience with evaluation and assessment
* Experience with research methodology, quantitative or qualitative
* Experience with Tableau or other software visualization tools
* Experience with SPSS, R, or SQL 
* Experience with regression and other predictive modeling methods
* Experience with NVIVO, text mining, or other qualitative analysis software