Mid Level HRIS Coordinator Jobs
Mid level hris coordinator jobs go to professionals ready to own system configurations, lead data integrity projects, and guide junior staff with minimal oversight. Openings are concentrated across Healthcare & Medical Services, Technology & Software, and Education, with a mix of on-site, remote, and hybrid settings, and employers like Ryder System, Indiana University Health, and Rexel hiring at this level now.
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Showing 5 of 117+ Mid Level HRIS Coordinator jobs
IMPORTANT APPLICATION INSTRUCTIONS:
- Upload Resume or Curriculum Vitae for automatic population of information to the application.
- The contact information, work experience, and education listed on your Resume/CV will be parsed and input into your Montclair application.
- Review information and double-check all fields containing information that the system parsed – the software is intelligent, but you need to verify that the data is accurate.
- In the “My Experience” section, you will find a Resume/CV upload option where you can submit your cover letter and all other supporting documents.
Note: If you have an expansive CV, we recommend that you apply manually and only include the positions you have held in the last ten (10) years. You will then be able to attach your Resume/CV, as well as all other supporting documentation in the "My Experience" section of your application.
Job Description
SUMMARY
Reporting to the Vice Provost for Research, the Research Information and Analytics Specialist is responsible for the management, integrity, and validation of research data exchanges and integrations between electronic research administration tools and University enterprise systems, reporting platforms, and data lake houses, and oversees data analytics that support the university’s research enterprise. This position liaises with the Office of Institutional Research and Effectiveness, Office of Sponsored Programs, Office of Research Compliance, Information Technology, Grant Accounting, and Human Resources to develop dashboards, generate datasets and visualization products for national surveys, State reports, external proposals, accreditation and other internal and external reports, funding and compliance metrics. This position represents the Office of Research in ongoing institutional data projects and plays a key role in advancing data-informed decision-making across the research enterprise by supporting institutional reporting, analytics, and benchmarking.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
- Collaborate with partner offices to support the integration of data from electronic research administration (eRA) systems with institutional enterprise systems (personnel management, finance management, and student information systems), data lake houses, faculty activity reporting systems, institutional and external data repositories, and data visualization environments.
- Develop and implement methods to ensure data integrity, security, and compliance during data transfers and integrations.
- Manage the administration of electronic research administration (eRA) platforms to ensure that core system data (e.g., organizational hierarchies and related reference data) remain accurate and aligned with institutional reporting and data integration needs.
- Troubleshoot technical issues impacting eRA data flows and coordinating solutions with vendors, researchers, the Office of Institutional Research and Effectiveness, Office of Faculty Excellence, the Division of Information Technology, and other university offices.
- Support the Office of Research in digital resource procurement, contracts, upgrades, licensing, and subscriptions via managing the integrity of legacy data and understanding data tables & reporting needs in systems that house eRA data.
- In collaboration with the cognizant Office of Research member units and other campus partners, responsible for data assembly, reporting, and research analytics, including but not limited to:
- Proposal and award activity for accreditation reviews, program evaluations, external review committee visits, and other internal surveys and reports.
- Federal reporting such as the NSF Higher Education Research and Development (HERD) Survey, State of NJ activity reporting, and other 3rd party surveys.
- Facilities & Administrative (F&A) cost recovery reporting.
- Research metrics for faculty activity reporting.
- Develop institutional dashboards and reporting tools that provide visibility into research productivity, funding trends, and compliance metrics.
- Assemble and recommend research performance data to support institutional benchmarking and strategic planning.
- Support implementation of AI in research administration, research analytics, and the research enterprise to enhance research programs.
- Act as liaison and coordinate responsibilities between the Office of Research, OIRE, and the Division of Information Technology to improve research data integration and governance.
- Participate in cross-training with OIRE on institutional data formats and streams and reporting tools, and data governance practices.
- Develop standardized data definitions, reporting frameworks, and research data governance practices.
- Alongside the Division of Information Technology, ensure research systems comply with university standards for information security, authentication, and data classification.
- Perform other duties as assigned. Management reserves the right to add or change responsibilities at any time.
QUALIFICATIONS
REQUIRED:
- Bachelor’s degree in Computer Science, Data Science, Data Analytics, Information Technology, or a related field.
- Minimum four years of experience supporting digital systems and data integrations.
- Experience with SQL.
- Experience with Python, R, or other data analysis tools.
- Experience working with data visualization tools such as Power BI, Tableau, or similar platforms.
- Experience with web technologies including HTML, CSS, or JavaScript.
- Strong analytical, organizational, and problem-solving skills.
- Strong written and verbal communication skills with the ability to collaborate across multiple institutional units.
- Ability to work independently while contributing to a collaborative team environment.
PREFERRED:
- Master’s degree in Computer Science, Data Science, Data Analytics, Information Technology, or a related field.
- Experience working with research administration platforms (e.g., Cayuse, OneAegis, InfoReady, REDCap).
- Experience working with enterprise data systems or databases.
- Experience with data lake house, data warehouse environments or enterprise reporting systems.
- Experience working in higher education or a research-intensive environment.
- Experience with database administration and data integration.
PROCEDURE FOR CANDIDACY:
Applicants should include a resume and cover letter describing how their background, skills and education match the needs of the University. When applying, please take a moment to carefully read and follow the steps in the application instructions.
Salary Range
$97,403.37-$115,119.85 Annually
The position may also be eligible for comprehensive benefits, including health insurance, retirement plans, and tuition assistance. For further details, please visit: https://www.montclair.edu/human-resources/benefits/
Montclair State University considers factors such as, but not limited to, scope and responsibilities of the position, candidate’s relevant work experience, education, skills, and internal equity, when extending an offer.
Salary offers for internal employees who are part of a collective bargaining unit (CBU) and are applying to a position that is within a CBU will be determined in accordance with contractual provisions.
Department
Office of Research
Position Type
Professional - Non-Faculty
Contact Information:
For questions or concerns, please contact Human Resources' Workday Recruiting Support at 973-655-5000 (Option 2), or email talent@montclair.edu.
Inclusion Statement
Montclair State University values access and educational excellence. We are committed to an environment of diverse perspectives which ensures that graduates will be civically engaged, committed to democracy, and prepared to thrive as global citizens. We foster a community that promotes varied experiences and voices. We seek applicants who will contribute diverse ideas and perspectives and who value an environment that promotes educational growth and advancement for all.
EEO/AA Statement
Montclair State University is an Equal Opportunity/Affirmative Action institution with a strong commitment to diversity.
Additional information can be found on the website at
www.montclair.edu/human-resources/about-us/eo-aa-and-diversity/
Title IX and 34 C.F.R. 106 Policy
Montclair State is required by Title IX and 34 C.F.R. 106 not to discriminate on the basis of sex or gender, and does not discriminate on the basis of sex or gender in the operation of education programs and activities. The requirement to not discriminate on the basis of sex or gender in the operation of education programs and activities extends to admission and employment. For further details, please visit: https://www.montclair.edu/human-resources/job-seekers/
IMPORTANT APPLICATION INSTRUCTIONS:
- Upload Resume or Curriculum Vitae for automatic population of information to the application.
- The contact information, work experience, and education listed on your Resume/CV will be parsed and input into your Montclair application.
- Review information and double-check all fields containing information that the system parsed – the software is intelligent, but you need to verify that the data is accurate.
- In the “My Experience” section, you will find a Resume/CV upload option where you can submit your cover letter and all other supporting documents.
Note: If you have an expansive CV, we recommend that you apply manually and only include the positions you have held in the last ten (10) years. You will then be able to attach your Resume/CV, as well as all other supporting documentation in the "My Experience" section of your application.
Job Description
SUMMARY
Reporting to the Vice Provost for Research, the Research Information and Analytics Specialist is responsible for the management, integrity, and validation of research data exchanges and integrations between electronic research administration tools and University enterprise systems, reporting platforms, and data lake houses, and oversees data analytics that support the university’s research enterprise. This position liaises with the Office of Institutional Research and Effectiveness, Office of Sponsored Programs, Office of Research Compliance, Information Technology, Grant Accounting, and Human Resources to develop dashboards, generate datasets and visualization products for national surveys, State reports, external proposals, accreditation and other internal and external reports, funding and compliance metrics. This position represents the Office of Research in ongoing institutional data projects and plays a key role in advancing data-informed decision-making across the research enterprise by supporting institutional reporting, analytics, and benchmarking.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
- Collaborate with partner offices to support the integration of data from electronic research administration (eRA) systems with institutional enterprise systems (personnel management, finance management, and student information systems), data lake houses, faculty activity reporting systems, institutional and external data repositories, and data visualization environments.
- Develop and implement methods to ensure data integrity, security, and compliance during data transfers and integrations.
- Manage the administration of electronic research administration (eRA) platforms to ensure that core system data (e.g., organizational hierarchies and related reference data) remain accurate and aligned with institutional reporting and data integration needs.
- Troubleshoot technical issues impacting eRA data flows and coordinating solutions with vendors, researchers, the Office of Institutional Research and Effectiveness, Office of Faculty Excellence, the Division of Information Technology, and other university offices.
- Support the Office of Research in digital resource procurement, contracts, upgrades, licensing, and subscriptions via managing the integrity of legacy data and understanding data tables & reporting needs in systems that house eRA data.
- In collaboration with the cognizant Office of Research member units and other campus partners, responsible for data assembly, reporting, and research analytics, including but not limited to:
- Proposal and award activity for accreditation reviews, program evaluations, external review committee visits, and other internal surveys and reports.
- Federal reporting such as the NSF Higher Education Research and Development (HERD) Survey, State of NJ activity reporting, and other 3rd party surveys.
- Facilities & Administrative (F&A) cost recovery reporting.
- Research metrics for faculty activity reporting.
- Develop institutional dashboards and reporting tools that provide visibility into research productivity, funding trends, and compliance metrics.
- Assemble and recommend research performance data to support institutional benchmarking and strategic planning.
- Support implementation of AI in research administration, research analytics, and the research enterprise to enhance research programs.
- Act as liaison and coordinate responsibilities between the Office of Research, OIRE, and the Division of Information Technology to improve research data integration and governance.
- Participate in cross-training with OIRE on institutional data formats and streams and reporting tools, and data governance practices.
- Develop standardized data definitions, reporting frameworks, and research data governance practices.
- Alongside the Division of Information Technology, ensure research systems comply with university standards for information security, authentication, and data classification.
- Perform other duties as assigned. Management reserves the right to add or change responsibilities at any time.
QUALIFICATIONS
REQUIRED:
- Bachelor’s degree in Computer Science, Data Science, Data Analytics, Information Technology, or a related field.
- Minimum four years of experience supporting digital systems and data integrations.
- Experience with SQL.
- Experience with Python, R, or other data analysis tools.
- Experience working with data visualization tools such as Power BI, Tableau, or similar platforms.
- Experience with web technologies including HTML, CSS, or JavaScript.
- Strong analytical, organizational, and problem-solving skills.
- Strong written and verbal communication skills with the ability to collaborate across multiple institutional units.
- Ability to work independently while contributing to a collaborative team environment.
PREFERRED:
- Master’s degree in Computer Science, Data Science, Data Analytics, Information Technology, or a related field.
- Experience working with research administration platforms (e.g., Cayuse, OneAegis, InfoReady, REDCap).
- Experience working with enterprise data systems or databases.
- Experience with data lake house, data warehouse environments or enterprise reporting systems.
- Experience working in higher education or a research-intensive environment.
- Experience with database administration and data integration.
PROCEDURE FOR CANDIDACY:
Applicants should include a resume and cover letter describing how their background, skills and education match the needs of the University. When applying, please take a moment to carefully read and follow the steps in the application instructions.
Salary Range
$97,403.37-$115,119.85 Annually
The position may also be eligible for comprehensive benefits, including health insurance, retirement plans, and tuition assistance. For further details, please visit: https://www.montclair.edu/human-resources/benefits/
Montclair State University considers factors such as, but not limited to, scope and responsibilities of the position, candidate’s relevant work experience, education, skills, and internal equity, when extending an offer.
Salary offers for internal employees who are part of a collective bargaining unit (CBU) and are applying to a position that is within a CBU will be determined in accordance with contractual provisions.
Department
Office of Research
Position Type
Professional - Non-Faculty
Contact Information:
For questions or concerns, please contact Human Resources' Workday Recruiting Support at 973-655-5000 (Option 2), or email talent@montclair.edu.
Inclusion Statement
Montclair State University values access and educational excellence. We are committed to an environment of diverse perspectives which ensures that graduates will be civically engaged, committed to democracy, and prepared to thrive as global citizens. We foster a community that promotes varied experiences and voices. We seek applicants who will contribute diverse ideas and perspectives and who value an environment that promotes educational growth and advancement for all.
EEO/AA Statement
Montclair State University is an Equal Opportunity/Affirmative Action institution with a strong commitment to diversity.
Additional information can be found on the website at
www.montclair.edu/human-resources/about-us/eo-aa-and-diversity/
Title IX and 34 C.F.R. 106 Policy
Montclair State is required by Title IX and 34 C.F.R. 106 not to discriminate on the basis of sex or gender, and does not discriminate on the basis of sex or gender in the operation of education programs and activities. The requirement to not discriminate on the basis of sex or gender in the operation of education programs and activities extends to admission and employment. For further details, please visit: https://www.montclair.edu/human-resources/job-seekers/
See All 117+ Mid Level HRIS Coordinator Jobs
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Find JobsMid Level HRIS Coordinator Job Market
Who's Hiring
- Ryder System16
- Indiana University Health5
- Rexel3
- Walmart3
- VTG Defense3
Top Industries Hiring
- Healthcare & Medical Services25
- Technology & Software13
- Education12
- Distribution & Wholesale5
- Electronics & Hardware4
Mid Level HRIS Coordinator Jobs: Frequently Asked Questions
How do I get a mid level hris coordinator job?
Position your experience around ownership, not just task completion. Highlight projects where you configured HRIS workflows, resolved data discrepancies independently, or trained colleagues on system processes. Applications that show measurable impact, such as reduced processing errors or faster onboarding cycles, stand out. Tailor your resume to the specific platform each employer uses, since HRIS tool fluency is a primary filter at this level.
Which companies hire mid level hris coordinators?
Companies hiring mid level hris coordinators right now include Ryder System, Indiana University Health, and Rexel, based on current listings on Migrate Mate as of November 2026. Hiring at this level is especially active among mid-to-large employers with dedicated HR operations teams that need coordinators who can work with minimal supervision.
Are there remote mid level hris coordinator jobs?
Yes, though availability varies by employer and system complexity. About 45% of mid level hris coordinator openings are remote or hybrid as of November 2026, reflecting how much of the work centers on cloud-based platforms rather than on-site systems. Roles tied to in-person HR operations or sensitive data infrastructure are more likely to require on-site presence.
How do I move up to a mid level hris coordinator role?
Moving from entry level into mid level means building depth beyond data entry and routine maintenance. Focus on owning at least one full project cycle, such as an open enrollment build or a system migration, and document the outcomes. Developing proficiency in reporting, audit processes, and cross-functional collaboration with payroll or benefits teams signals readiness. Earning a certification in a major HRIS platform also strengthens your profile meaningfully.
Which industries hire the most mid level hris coordinators?
Mid Level hris coordinator roles concentrate in Healthcare & Medical Services, Technology & Software, and Education, based on current listings on Migrate Mate as of November 2026. These sectors tend to have large, distributed workforces and complex HR processes that require experienced coordinators who can maintain data accuracy and support system improvements without close oversight.