Position Details
Position Information
| Recruitment/Posting Title |
Research Analyst |
| Job Category |
Staff & Executive - Research (Laboratory/Non-Laboratory) |
| Department |
Effective School Practice Cent |
| Overview |
Rutgers, The State University of New Jersey, is a leading national research university and the State of New Jersey's preeminent, comprehensive public institution of higher education. As one of the largest employers in the State of New Jersey, Rutgers University is committed not only to the students and the State that we serve, but also to the faculty and staff who work on our campuses.
For two consecutive years, Rutgers is ranked on Forbes' list of America's Best Large Employers. Rutgers holds #64 of 500 employers and is the #1 New Jersey employer on the publication's 2023 list. Rutgers' commitment to its employees includes maintaining and fostering a safe, diverse, and respectful workplace environment, creating employment opportunities for our nation's military veterans, and ensuring accessibility and accommodation for individuals with disabilities. |
| Posting Summary |
Rutgers, The State University of New Jersey is seeking a Research Analyst for the Effective School Practice Center. The primary role of this grant-funded position is to advance the Center's research agenda through the production of high-quality written scholarship and research outputs.
Among the key duties of this position are the following:
- Leads the writing and development of technical reports, policy briefs, grant proposals, and peer-reviewed publications.
- Synthesizes complex qualitative and quantitative data into clear, compelling narratives tailored to academic, policy, and practitioner audiences.
- Provides leadership in project conceptualization and development, fieldwork implementation and management, and sophisticated data analysis.
- Writes technical reports and peer-reviewed publications.
- Researches new proposals and secure contracts for grant-funded research.
|
| FLSA |
Exempt |
| Grade |
06 |
| Salary Details |
|
| Minimum Salary |
82166.000 |
| Mid Range Salary |
104002.000 |
| Maximum Salary |
125837.000 |
| Offer Information |
The final salary offer may be determined by several factors, including, but not limited to, the candidate's qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university's broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent. |
| Benefits |
Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:
- Medical, prescription drug, and dental coverage
- Paid vacation, holidays, and various leave programs
- Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
- Employee and dependent educational benefits (when applicable)
- Life insurance coverage
- Employee discount programs
|
| Position Status |
Full Time |
| Working Hours |
|
| Standard Hours |
37.50 |
| Daily Work Shift |
Day |
| Work Arrangement |
This position requires a fully on-site work arrangement. |
| Union Description |
Admin Assembly (MPSC) |
| Payroll Designation |
PeopleSoft |
| Seniority Unit |
|
| Terms of Appointment |
Staff - 12 month |
| Position Pension Eligibility |
ABP |
Qualifications
| Minimum Education and Experience |
- Bachelor's of Arts or Science in education, sociology, statistics or related field and minimum of five years of experience in applied research and evaluation in an academic setting.
|
| Certifications/Licenses |
- A valid driver's license would be required for this position.
|
| Required Knowledge, Skills, and Abilities |
- Ability to manage large research projects such as conduct fieldwork and write reports and academic papers.
- Advanced level of statistical skills to provide data, analytical, and programming support to Center researchers, graduate students, and affiliated individuals and agencies.
|
| Preferred Qualifications |
- Master's degree or some post baccalaureate study preferred.
- Advanced training or specialization in public policy, data analytics, program evaluation, or a related interdisciplinary field.
- Demonstrated experience authoring or co-authoring peer-reviewed publications, technical reports, or policy-relevant research products.
- Experience working with large, complex datasets, including cleaning, managing, and analyzing administrative or longitudinal data.
- Proficiency in statistical programming and data analysis tools (e.g., R, Python, SQL, Stata, or similar) and data visualization platforms (e.g., Tableau, Power BI).
- Experience applying mixed-methods research approaches, including integrating qualitative and quantitative data to inform findings and recommendations.
- Familiarity with qualitative data analysis software (e.g., NVivo, ATLAS.ti) and experience conducting interviews, focus groups, and thematic analysis.
- Experience working on grant-funded research projects, including supporting proposal development, contributing to funded project deliverables, and coordinating reporting requirements.
- Demonstrated experience engaging with government agencies, education systems, or community-based organizations in research or policy contexts.
- Experience developing dashboards, data products, or other tools to communicate findings to non-technical audiences.
- Strong interest in or commitment to issues related to education, workforce development, health, or social policy, particularly in areas related to equity and access.
- Direct research experience in education and supervisory experience.
|
| Equipment Utilized |
- Standard office equipment, including desktop/laptop computers, printers, and scanners.
- Microsoft Office Suite (Word, Excel, PowerPoint, Outlook)
- Virtual communication platforms (e.g., Zoom, Microsoft Teams).
- Data analysis and statistical software (e.g., R, Python, SQL, Stata, SPSS, or similar).
- Data visualization and reporting tools (e.g., Tableau, Power BI, or similar platforms).
- Qualitative data analysis software (e.g., NVivo, ATLAS.ti, or similar).
|
| Physical Demands and Work Environment |
- Travel is required on occasion to research sites.
|
| Special Conditions |
|
Posting Details
| Posting Number |
26ST0993 |
| Posting Open Date |
05/08/2026 |
| Special Instructions to Applicants |
|
| Regional Campus |
Rutgers University-New Brunswick |
| Home Location Campus |
Off Campus |
| City |
Somerset |
| State |
NJ |
| Location Details |
|
Pre-employment Screenings
All offers of employment are contingent upon successful completion of all pre-employment screenings. Immunization Requirements
Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination. Equal Employment Opportunity Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement |
Rutgers University
life insurance, employee discount
May 08, 2026