Position Details
Position Information
| Recruitment/Posting Title |
Senior Data Analyst (Confidential) |
| Job Category |
Staff & Executive - Academic Affairs |
| Department |
RBHS - Academic Affairs & Rese |
| Overview |
As New Jersey's premier academic health center, Rutgers Health takes an integrated approach to educating and training, providing clinical care, and conducting research, all with the goal of improving human health. Rutgers Health serves as the umbrella organization for eight schools, a behavioral health network, and eight major centers and institutes focused on improving human health. The Chancellor's Office is the administrative body that oversees the Rutgers Health Units; the Senior Vice Chancellor for Academic Affairs and Research (
SVCAAR) oversees the Offices of Academic Affairs and of Research at Rutgers Health. |
| Posting Summary |
Rutgers, The State University of New Jersey is seeking a Senior Data Analyst within the Academic Affairs and Research-
RBHS Department.
The Senior Data Analyst provides administrative, analytical, computing, and staff support for the
SVCAAR and other departments within the
RBHS Chancellor's Office. In this role, the Senior Data Analyst also executes assignments and tasks requiring data collection, information gathering, data entry/retrieval, and database maintenance utilizing a variety of software and analytic techniques. Additionally, the Senior Data Analyst prepares and/or compiles data for special reports and analysis, including the compilation and handling of confidential information and documents related to collective negotiations. In support of these efforts, the Senior Data Analyst assists in the review, analysis, and appraisal of current department administrative data and procedures, organization, and performance and helps to prepare recommendations for changes and/or revisions; does other related work as required.
Among the key duties for this position are the following:
- Executes assignments and tasks requested by the Offices of the RBHS Senior Vice Chancellor for Academic Affairs and Research, and Senior Vice Chancellor for Finance and Administration (and other University stakeholders including the Office of Senior Vice President and General Counsel, the Office of Academic Labor Relations, and the Office of Labor Relations) requiring data collection, information gathering, data entry/retrieval, database maintenance, form and graphics generalist utilizing a variety of software (including information needed for collective negotiations and other employment-related matters).
- Analyzes complex sponsored research and programs administrative data generated by units, identify variances, and develop reports.
- Develops and maintain customized Tableau-based dashboards and other data visualizations to provide clear and concise summaries for senior leadership.
- Conducts regular integrity checks of source data and relevant data feeds.
- Engages with internal and external stakeholders, business managers, grants specialists, and others to reconcile data inconsistencies and errors, utilizing both analytic and communications skills to handle these interactions promptly and professionally.
- Ensures integrity of research and sponsored programs data and analyze errors to inform or recommended updates to policies, operating procedures, or systems.
- Optimizes processes by which sponsored research and programs data is gathered, validated, manipulated, and evaluated.
|
| Position Status |
Full Time |
| Hours Per Week |
|
| Daily Work Shift |
|
| Work Arrangement |
Consistent with the current application of Rutgers Policy 60.3.22 or the applicable provisions of relevant collective negotiations agreements, this position may be eligible for a hybrid work arrangement. Flexible work arrangements are not permanent, are subject to change or discontinuation, and contingent on the employee receiving approval in the FlexWork@RU Application System. |
| FLSA |
Exempt |
| Grade |
26S |
| Position Salary |
|
| Annual Minimum Salary |
82360.00 |
| Annual Mid Range Salary |
99589.00 |
| Annual Maximum Salary |
116818.00 |
| Standard Hours |
37.50 |
| Union Description |
MPSC - Legacy UMD |
| Payroll Designation |
PeopleSoft |
| Benefits |
Rutgers offers a comprehensive benefit program to eligible employees. For details, please go to
http://uhr.rutgers.edu/benefits/benefits-overview. |
| Seniority Unit |
|
| Terms of Appointment |
Staff - 12 month |
| Position Pension Eligibility |
ABP |
Qualifications
| Minimum Education and Experience |
- Bachelor's degree and at least three years of relevant work experience in business analytics, data management, computer programming and/or statistical analysis is required and/or Master's Degree in relevant discipline (computer science, mathematics, statistics, business administration, finance, engineering, applied social sciences or a similar field required with advanced analytics training) and at least one (1) year of experience in business analytics, data management, computer programming and/or statistical analysis.
|
| Certifications/Licenses |
|
| Required Knowledge, Skills, and Abilities |
- Extensive knowledge of data management and manipulation, data analysis techniques, and developing data visualizations in the context of a complex data systems.
- Proficiency with business intelligence (Bl)/database/data analysis software applications, such as Tableau, Microsoft Access, and/or Excel.
- Ability to prepare summary and graphical presentations for senior administrators to clearly articulate results of complex analyses.
- Outstanding attention to detail and ability to document work.
- Must be able to work with a wide range of individuals from diverse backgrounds and perspectives on data usage including faculty, staff, and senior administrators.
- Excellent communication and interpersonal skills; tact, and diplomacy are essential for working collegially and maintaining productive working relationships with business managers, grants specialists, and other senior administrators to promote best practices.
- Ability to manage multiple tasks, projects, and priorities simultaneously and to meet challenging and changing deadlines.
|
| Preferred Qualifications |
- Experience working with large datasets and developing insights across multiple data sources. Technical knowledge for improving system performance, capacity, reliability and scalability of data visualization and reporting solutions.
- Experience with Python, Spark, and/or SQL to manipulate data and draw insights from large data sets.
- Experience in applying statistical concepts and analysis tools (e.g., R, SAS, STATA, SPSS) to develop insights from large data sets.
- Familiarity with sponsored research and programs submissions and awards, such as grants and contracts, from Federal, state, corporate, and private funding sources.
- Ability to understand, test, and improve the processes by which data is migrated among the University's legacy mainframe system, Oracle databases, existing research administration and proposal procession system (RAPSS), and other relevant databases and interfaces.
|
| Equipment Utilized |
- Use of computer hardware and software, standard office equipment (e.g., copying machine), and telephone/internet communication tools.
|
| Physical Demands and Work Environment |
Physical Demands:
- Long periods of sitting, talking, listening/hearing, and ability to visualize data.
- No heavy lifting is required.
Work Environment:
- Office environment.
- Moderate noise.
|
| Special Conditions |
|
Posting Details
| Posting Number |
25ST1116 |
| Posting Open Date |
05/16/2025 |
| Special Instructions to Applicants |
|
| Regional Campus |
Rutgers Biomedical and Health Sciences (RBHS) |
| Home Location Campus |
Newark (RBHS) |
| City |
Newark and/or New Brunswick |
| 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. Affirmative Action/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 value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement |
Rutgers University
May 16, 2025