Rutgers University
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link. Job Category Staff & Executive - Information Technology Department Department UFA-Data Analytics 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. Ranked in 2022 by Forbes as a
top 100 best large employer
in America,
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.
University Finance and Administration ( UFA ) advances Rutgers’ strategic priorities through the management of all central financial, administrative, and student information systems and processes. We supply the university’s financial community the professional guidance, services, tools, and information needed to make the informed decisions that contribute to Rutgers’ standing as an academic, health, and research powerhouse. We are deeply committed to our
guiding principles and the core values
that are critical for the long-term strategic growth of our division and the university. For more information, please visit
https://finance.rutgers.edu/
. Posting Summary Rutgers University seeks an Associate Data Analyst for the University Finance and Administration. This position will provide support by preparing, integrating, and validating data for accurate and reliable reporting. Reporting to the Senior Manager, UFA Data Analytics, this role collaborates across departments to deliver trusted data solutions that support accurate reporting and operational effectiveness. In addition to data management responsibilities, the role supports operational reporting needs across UFA , including Tableau-based reports and ERP reporting.
Among the key duties of this position are the following:
Assist in gathering, preparing, and curating data from multiple sources, including ERP systems, databases, and external datasets, to support reporting and analytical use. Collaborate with stakeholders across the university, including subject matter experts, OIT partners, business managers, campus leaders, and University Finance units, to understand reporting needs and ensure data solutions meet business requirements. Assist in developing and maintaining workflows for data acquisition, validation, transformation, and integration. Create and maintain operational reports, including Tableau-based reporting and selected ERP reports such as FRS , OTBI , BI Publisher, and Smart View. Apply data quality checks to remove inaccuracies, duplicates, and inconsistencies, and perform data validation to identify and resolve data quality issues. Support data integrity, security, and appropriate access within data environments. Support the creation and maintenance of data pipelines and integration workflows using SQL , Python, and related tools. Use cloud-based data tools (e.g., OCI , Azure) as needed for data processing and analysis. Ensure compliance with data governance standards and maintain metadata, data definitions, data lineage, and transformation documentation. Provide technical support related to data sources, data quality, and reporting workflows. Create, maintain, and update technical and non-technical documentation for data assets and reporting solutions. Stay current with best practices in data management, data engineering, and reporting to support continuous improvement. Identify and implement opportunities to improve data processes, workflows, and reporting efficiency. Support data literacy initiatives and assist stakeholders with data sources, reporting workflows, and data quality processes. Perform other duties as assigned. FLSA FLSA Exempt Grade Grade 05 Salary Details Minimum Salary Minimum Salary 71447.000 Mid Range Salary 90435.000 Maximum Salary Maximum Salary 109422.000 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. 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 Position Status Full Time Working Hours Standard Hours Standard Hours 37.50 Daily Work Shift Work Arrangement Union Description Union Description Administrators Confidential Payroll Designation Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Terms of Appointment Staff - 12 month Position Pension Eligibility Position Pension Eligibility ABP Qualifications Minimum Education and Experience Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Business Administration, or a related field, and at least two (2) years of experience as a data analyst or in a similar role. A master’s degree in a related field may substitute for the experience requirement. Certifications/Licenses Required Knowledge, Skills, and Abilities Technical Skills : Proficiency in SQL and Python for data preparation, transformation, and automation of ETL workflows. Experience with Tableau Prep for data preparation and workflow development. Proficiency in Excel. Proficiency with Tableau to support operational reporting. Understanding of data modeling concepts, governance compliance, and ability to maintain data lineage and metadata documentation. Familiarity with pipeline orchestration and cloud platforms ( OCI , Azure, or equivalent) for data integration and storage. Experience using SQL Server tools such as SSIS and Visual Studio for data transformation, ETL development, and workflow automation. Core Competencies:
Strong problem-solving skills to diagnose data quality issues, inconsistencies, and source-system discrepancies. Effective communication skills to collaborate across teams and explain technical concepts to non-technical stakeholders. Ability to work independently and as part of a team. Experience with Higher Education and Finance data. Preferred Qualifications
Exposure to ERP reporting tools such as FRS , OTBI , BI Publisher, and Smart View. Familiarity with Oracle Analytics Cloud. Exposure to data engineering best practices for pipeline optimization and data validation. Physical Demands and Work Environment Special Conditions Posting Number Posting Number 25ST2664 Posting Open Date Posting Open Date 12/24/2025 Special Instructions to Applicants Regional Campus Home Location Campus Home Location Campus Off Campus City City Piscataway State State NJ Position Information Recruitment/Posting Title Associate Data Analyst Job Category Staff & Executive - Information Technology Department UFA-Data Analytics 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. Ranked in 2022 by Forbes as a
top 100 best large employer
in America,
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.
University Finance and Administration ( UFA ) advances Rutgers’ strategic priorities through the management of all central financial, administrative, and student information systems and processes. We supply the university’s financial community the professional guidance, services, tools, and information needed to make the informed decisions that contribute to Rutgers’ standing as an academic, health, and research powerhouse. We are deeply committed to our
guiding principles and the core values
that are critical for the long-term strategic growth of our division and the university. For more information, please visit
https://finance.rutgers.edu/
. Posting Summary Rutgers University seeks an Associate Data Analyst for the University Finance and Administration. This position will provide support by preparing, integrating, and validating data for accurate and reliable reporting. Reporting to the Senior Manager, UFA Data Analytics, this role collaborates across departments to deliver trusted data solutions that support accurate reporting and operational effectiveness. In addition to data management responsibilities, the role supports operational reporting needs across UFA , including Tableau-based reports and ERP reporting.
Among the key duties of this position are the following:
Assist in gathering, preparing, and curating data from multiple sources, including ERP systems, databases, and external datasets, to support reporting and analytical use. Collaborate with stakeholders across the university, including subject matter experts, OIT partners, business managers, campus leaders, and University Finance units, to understand reporting needs and ensure data solutions meet business requirements. Assist in developing and maintaining workflows for data acquisition, validation, transformation, and integration. Create and maintain operational reports, including Tableau-based reporting and selected ERP reports such as FRS , OTBI , BI Publisher, and Smart View. Apply data quality checks to remove inaccuracies, duplicates, and inconsistencies, and perform data validation to identify and resolve data quality issues. Support data integrity, security, and appropriate access within data environments. Support the creation and maintenance of data pipelines and integration workflows using SQL , Python, and related tools. Use cloud-based data tools (e.g., OCI , Azure) as needed for data processing and analysis. Ensure compliance with data governance standards and maintain metadata, data definitions, data lineage, and transformation documentation. Provide technical support related to data sources, data quality, and reporting workflows. Create, maintain, and update technical and non-technical documentation for data assets and reporting solutions. Stay current with best practices in data management, data engineering, and reporting to support continuous improvement. Identify and implement opportunities to improve data processes, workflows, and reporting efficiency. Support data literacy initiatives and assist stakeholders with data sources, reporting workflows, and data quality processes. Perform other duties as assigned. FLSA Exempt Grade 05 Salary Details Minimum Salary 71447.000 Mid Range Salary 90435.000 Maximum Salary 109422.000 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 Work Arrangement Union Description Administrators Confidential Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Business Administration, or a related field, and at least two (2) years of experience as a data analyst or in a similar role. A master’s degree in a related field may substitute for the experience requirement. Certifications/Licenses Required Knowledge, Skills, and Abilities
Technical Skills : Proficiency in SQL and Python for data preparation, transformation, and automation of ETL workflows. Experience with Tableau Prep for data preparation and workflow development. Proficiency in Excel. Proficiency with Tableau to support operational reporting. Understanding of data modeling concepts, governance compliance, and ability to maintain data lineage and metadata documentation. Familiarity with pipeline orchestration and cloud platforms ( OCI , Azure, or equivalent) for data integration and storage. Experience using SQL Server tools such as SSIS and Visual Studio for data transformation, ETL development, and workflow automation. Core Competencies:
Strong problem-solving skills to diagnose data quality issues, inconsistencies, and source-system discrepancies. Effective communication skills to collaborate across teams and explain technical concepts to non-technical stakeholders. Ability to work independently and as part of a team. Experience with Higher Education and Finance data. Preferred Qualifications
Exposure to ERP reporting tools such as FRS , OTBI , BI Publisher, and Smart View. Familiarity with Oracle Analytics Cloud. Exposure to data engineering best practices for pipeline optimization and data validation. Equipment Utilized
SQL Server, SSIS , Visual Studio, Tableau (including Tableau Prep), Oracle ERP reporting tools ( FRS , OTBI , BI Publisher, Smart View), Python, cloud platforms such as OCI or Azure, and standard office software. Physical Demands and Work Environment Special Conditions Posting Details Posting Number 25ST2664 Posting Open Date 12/24/2025 Special Instructions to Applicants Regional Campus Rutgers University-New Brunswick Home Location Campus Off Campus City Piscataway 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 Supplemental Questions
Required fields are indicated with an asterisk (*). * Do you have a Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Business Administration, or a related field, and at least two (2) years of experience as a data analyst or in a similar role(a master’s degree in a related field may substitute for the experience requirement)?
Yes No
Required Documents
Resume/CV Cover Letter/Letter of Application List of Professional References (contact Info) Optional Documents
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: Non-Discrimination-Statement . In compliance with the Americans with Disabilities Act (ADA) and the New Jersey Law Against Discrimination (NJLAD), if you have a disability and would like to request an accommodation with regard to your access to and/or your participation in the application and selection processes (for example, the online application process or interviews), please call 848-932-3973 or e-mail us . Rutgers University is an equal access/equal opportunity institution. If you have trouble accessing this page because of a disability, please contact us at 732.745.7378 or via email at OneSource@Rutgers.edu . Rutgers University participates in the E-Verify program as required by law. Learn more about the E-Verify program . For technical assistance with the applicant tracking system (login, filling out your application, resetting your password, etc.) please contact the ROCS Help Desk at 848-932-4444 or ROCS@hr.rutgers.edu .
To learn more about Rutgers University’s commitment to diversity and inclusion on its campuses, click here .
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Apply for this Job
link/button. If you would like to bookmark this position for later review, click on the
Bookmark
link. If you would like to print a copy of this position for your records, click on the
Print Preview
link. Job Category Staff & Executive - Information Technology Department Department UFA-Data Analytics 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. Ranked in 2022 by Forbes as a
top 100 best large employer
in America,
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.
University Finance and Administration ( UFA ) advances Rutgers’ strategic priorities through the management of all central financial, administrative, and student information systems and processes. We supply the university’s financial community the professional guidance, services, tools, and information needed to make the informed decisions that contribute to Rutgers’ standing as an academic, health, and research powerhouse. We are deeply committed to our
guiding principles and the core values
that are critical for the long-term strategic growth of our division and the university. For more information, please visit
https://finance.rutgers.edu/
. Posting Summary Rutgers University seeks an Associate Data Analyst for the University Finance and Administration. This position will provide support by preparing, integrating, and validating data for accurate and reliable reporting. Reporting to the Senior Manager, UFA Data Analytics, this role collaborates across departments to deliver trusted data solutions that support accurate reporting and operational effectiveness. In addition to data management responsibilities, the role supports operational reporting needs across UFA , including Tableau-based reports and ERP reporting.
Among the key duties of this position are the following:
Assist in gathering, preparing, and curating data from multiple sources, including ERP systems, databases, and external datasets, to support reporting and analytical use. Collaborate with stakeholders across the university, including subject matter experts, OIT partners, business managers, campus leaders, and University Finance units, to understand reporting needs and ensure data solutions meet business requirements. Assist in developing and maintaining workflows for data acquisition, validation, transformation, and integration. Create and maintain operational reports, including Tableau-based reporting and selected ERP reports such as FRS , OTBI , BI Publisher, and Smart View. Apply data quality checks to remove inaccuracies, duplicates, and inconsistencies, and perform data validation to identify and resolve data quality issues. Support data integrity, security, and appropriate access within data environments. Support the creation and maintenance of data pipelines and integration workflows using SQL , Python, and related tools. Use cloud-based data tools (e.g., OCI , Azure) as needed for data processing and analysis. Ensure compliance with data governance standards and maintain metadata, data definitions, data lineage, and transformation documentation. Provide technical support related to data sources, data quality, and reporting workflows. Create, maintain, and update technical and non-technical documentation for data assets and reporting solutions. Stay current with best practices in data management, data engineering, and reporting to support continuous improvement. Identify and implement opportunities to improve data processes, workflows, and reporting efficiency. Support data literacy initiatives and assist stakeholders with data sources, reporting workflows, and data quality processes. Perform other duties as assigned. FLSA FLSA Exempt Grade Grade 05 Salary Details Minimum Salary Minimum Salary 71447.000 Mid Range Salary 90435.000 Maximum Salary Maximum Salary 109422.000 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. 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 Position Status Full Time Working Hours Standard Hours Standard Hours 37.50 Daily Work Shift Work Arrangement Union Description Union Description Administrators Confidential Payroll Designation Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Terms of Appointment Staff - 12 month Position Pension Eligibility Position Pension Eligibility ABP Qualifications Minimum Education and Experience Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Business Administration, or a related field, and at least two (2) years of experience as a data analyst or in a similar role. A master’s degree in a related field may substitute for the experience requirement. Certifications/Licenses Required Knowledge, Skills, and Abilities Technical Skills : Proficiency in SQL and Python for data preparation, transformation, and automation of ETL workflows. Experience with Tableau Prep for data preparation and workflow development. Proficiency in Excel. Proficiency with Tableau to support operational reporting. Understanding of data modeling concepts, governance compliance, and ability to maintain data lineage and metadata documentation. Familiarity with pipeline orchestration and cloud platforms ( OCI , Azure, or equivalent) for data integration and storage. Experience using SQL Server tools such as SSIS and Visual Studio for data transformation, ETL development, and workflow automation. Core Competencies:
Strong problem-solving skills to diagnose data quality issues, inconsistencies, and source-system discrepancies. Effective communication skills to collaborate across teams and explain technical concepts to non-technical stakeholders. Ability to work independently and as part of a team. Experience with Higher Education and Finance data. Preferred Qualifications
Exposure to ERP reporting tools such as FRS , OTBI , BI Publisher, and Smart View. Familiarity with Oracle Analytics Cloud. Exposure to data engineering best practices for pipeline optimization and data validation. Physical Demands and Work Environment Special Conditions Posting Number Posting Number 25ST2664 Posting Open Date Posting Open Date 12/24/2025 Special Instructions to Applicants Regional Campus Home Location Campus Home Location Campus Off Campus City City Piscataway State State NJ Position Information Recruitment/Posting Title Associate Data Analyst Job Category Staff & Executive - Information Technology Department UFA-Data Analytics 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. Ranked in 2022 by Forbes as a
top 100 best large employer
in America,
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.
University Finance and Administration ( UFA ) advances Rutgers’ strategic priorities through the management of all central financial, administrative, and student information systems and processes. We supply the university’s financial community the professional guidance, services, tools, and information needed to make the informed decisions that contribute to Rutgers’ standing as an academic, health, and research powerhouse. We are deeply committed to our
guiding principles and the core values
that are critical for the long-term strategic growth of our division and the university. For more information, please visit
https://finance.rutgers.edu/
. Posting Summary Rutgers University seeks an Associate Data Analyst for the University Finance and Administration. This position will provide support by preparing, integrating, and validating data for accurate and reliable reporting. Reporting to the Senior Manager, UFA Data Analytics, this role collaborates across departments to deliver trusted data solutions that support accurate reporting and operational effectiveness. In addition to data management responsibilities, the role supports operational reporting needs across UFA , including Tableau-based reports and ERP reporting.
Among the key duties of this position are the following:
Assist in gathering, preparing, and curating data from multiple sources, including ERP systems, databases, and external datasets, to support reporting and analytical use. Collaborate with stakeholders across the university, including subject matter experts, OIT partners, business managers, campus leaders, and University Finance units, to understand reporting needs and ensure data solutions meet business requirements. Assist in developing and maintaining workflows for data acquisition, validation, transformation, and integration. Create and maintain operational reports, including Tableau-based reporting and selected ERP reports such as FRS , OTBI , BI Publisher, and Smart View. Apply data quality checks to remove inaccuracies, duplicates, and inconsistencies, and perform data validation to identify and resolve data quality issues. Support data integrity, security, and appropriate access within data environments. Support the creation and maintenance of data pipelines and integration workflows using SQL , Python, and related tools. Use cloud-based data tools (e.g., OCI , Azure) as needed for data processing and analysis. Ensure compliance with data governance standards and maintain metadata, data definitions, data lineage, and transformation documentation. Provide technical support related to data sources, data quality, and reporting workflows. Create, maintain, and update technical and non-technical documentation for data assets and reporting solutions. Stay current with best practices in data management, data engineering, and reporting to support continuous improvement. Identify and implement opportunities to improve data processes, workflows, and reporting efficiency. Support data literacy initiatives and assist stakeholders with data sources, reporting workflows, and data quality processes. Perform other duties as assigned. FLSA Exempt Grade 05 Salary Details Minimum Salary 71447.000 Mid Range Salary 90435.000 Maximum Salary 109422.000 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 Work Arrangement Union Description Administrators Confidential Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Business Administration, or a related field, and at least two (2) years of experience as a data analyst or in a similar role. A master’s degree in a related field may substitute for the experience requirement. Certifications/Licenses Required Knowledge, Skills, and Abilities
Technical Skills : Proficiency in SQL and Python for data preparation, transformation, and automation of ETL workflows. Experience with Tableau Prep for data preparation and workflow development. Proficiency in Excel. Proficiency with Tableau to support operational reporting. Understanding of data modeling concepts, governance compliance, and ability to maintain data lineage and metadata documentation. Familiarity with pipeline orchestration and cloud platforms ( OCI , Azure, or equivalent) for data integration and storage. Experience using SQL Server tools such as SSIS and Visual Studio for data transformation, ETL development, and workflow automation. Core Competencies:
Strong problem-solving skills to diagnose data quality issues, inconsistencies, and source-system discrepancies. Effective communication skills to collaborate across teams and explain technical concepts to non-technical stakeholders. Ability to work independently and as part of a team. Experience with Higher Education and Finance data. Preferred Qualifications
Exposure to ERP reporting tools such as FRS , OTBI , BI Publisher, and Smart View. Familiarity with Oracle Analytics Cloud. Exposure to data engineering best practices for pipeline optimization and data validation. Equipment Utilized
SQL Server, SSIS , Visual Studio, Tableau (including Tableau Prep), Oracle ERP reporting tools ( FRS , OTBI , BI Publisher, Smart View), Python, cloud platforms such as OCI or Azure, and standard office software. Physical Demands and Work Environment Special Conditions Posting Details Posting Number 25ST2664 Posting Open Date 12/24/2025 Special Instructions to Applicants Regional Campus Rutgers University-New Brunswick Home Location Campus Off Campus City Piscataway 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 Supplemental Questions
Required fields are indicated with an asterisk (*). * Do you have a Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Business Administration, or a related field, and at least two (2) years of experience as a data analyst or in a similar role(a master’s degree in a related field may substitute for the experience requirement)?
Yes No
Required Documents
Resume/CV Cover Letter/Letter of Application List of Professional References (contact Info) Optional Documents
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: Non-Discrimination-Statement . In compliance with the Americans with Disabilities Act (ADA) and the New Jersey Law Against Discrimination (NJLAD), if you have a disability and would like to request an accommodation with regard to your access to and/or your participation in the application and selection processes (for example, the online application process or interviews), please call 848-932-3973 or e-mail us . Rutgers University is an equal access/equal opportunity institution. If you have trouble accessing this page because of a disability, please contact us at 732.745.7378 or via email at OneSource@Rutgers.edu . Rutgers University participates in the E-Verify program as required by law. Learn more about the E-Verify program . For technical assistance with the applicant tracking system (login, filling out your application, resetting your password, etc.) please contact the ROCS Help Desk at 848-932-4444 or ROCS@hr.rutgers.edu .
To learn more about Rutgers University’s commitment to diversity and inclusion on its campuses, click here .
#J-18808-Ljbffr