More jobs:
Research Analyst
Job in
Muncie, Delaware County, Indiana, 47303, USA
Listed on 2026-06-06
Listing for:
Ball State PBS
Full Time
position Listed on 2026-06-06
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist -
Research/Development
Data Scientist
Job Description & How to Apply Below
Ball State University time type:
Full time posted on:
Posted Yesterday time left to apply:
End Date:
June 17, 2026 (13 days left to apply) job requisition :
R-02317
*
* Position Title:
** Research Analyst
** Compensation:**$40,000 - $50,000
** Department:
** Office of Institutional Research and Decision Support B
** About this opportunity:
** Ball State University is seeking a collaborative and analytically driven Research Analyst to join the Office of Institutional Research. This position offers the opportunity to work with complex university data, conduct impactful analyses, and communicate insights that directly influence institutional strategy and student success initiatives. The successful candidate will partner with campus leaders and stakeholders to support planning, assessment, accreditation, and reporting efforts while contributing to a culture of data-informed decision-making.
This is an exciting opportunity for a professional passionate about higher education analytics, research, and transforming data into meaningful action.
Candidates for searches must have current authorization to be employed in the United States without employer sponsorship.
** What you'll do and what you'll bring:**## Position Function:
Responsible for directed and self-guided research to find key insights that may shape policy, providing stakeholders with actionable information, and helping to develop the analytics needed for decision-making. This position will help manage and utilize complex datasets stored in the Ball State’s data warehouse. Address issues of interest and create visualizations that will be used in institutional research presentations, briefs, and reports for the consumption of various Ball State constituencies (Board of Trustees, senior leadership, the provost/president, and state agencies).##
Duties/Responsibilities
* Design and conduct analyses to address institutional questions, including defining methodology, selecting appropriate data sources, and applying statistical techniques.
* Interpret analytical findings and communicate data-informed insights in clear, accessible, and actionable formats for various campus audiences and stakeholders.
* Compile, analyze, interpret, and report institutional data to support strategic planning, decision-making, assessment, accreditation, and compliance initiatives across the university.
* Collaborate with campus stakeholders to define research and reporting needs, recommend appropriate analytical methodologies, and develop customized data reports and insights to support institutional decision-making.
* Document research methodologies, data queries, processes, and analytical assumptions to promote transparency, consistency, and reproducibility in institutional research and reporting activities.
* Utilize Data Insider blog as a repository for and communication of completed research projects.
* Apply institutional data definitions and contribute to discussion on data governance efforts.
* Perform other related duties as assigned.##
Minimum Qualifications
* Bachelor’s degree in data analytics, data science, business analytics, operations research, statistics, psychology, computer science or a related quantitative research field.
* At least two years of experience conducting data analysis using statistical tools such as SPSS, SAS, Stata, R, etc.
* Ability to interpret or code SQL from relational databases.
* Demonstrated ability to clean, analyze, and interpret complex datasets and communicate findings to non-technical audiences.##
Preferred Qualifications
* Master’s degree in psychology, computer science, data analytics, data science, business analytics, operations research, statistics, or related field.
* Higher Education institutional research experience.
* Knowledge of Higher Education ERP systems (e.g., Banner).
* Technical expertise in data management, statistical analysis, qualitative/quantitative research methods.
* Experience in predictive modeling and/or machine learning techniques (e.g., clustering, decision trees, random forests, etc.).
* Ability to analyze complex topics, problem solve, synthesize, and communicate results clearly both…
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