Data Analyst Jobs

Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the 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 - Research (Laboratory/Non-Laboratory)
Department
Overview
Rutgers, The State University of New Jersey, is distinguished in its many efforts to advance health and wellness, and its broad reach, diversity, and expertise provides opportunities to address a wide array of health challenges. The Institute for Health, Health Care Policy and Aging Research ( IFH ) facilitates collaboration among the social and behavioral sciences, clinical disciplines, basic sciences and related fields to promote research on critical population health issues. Tobias Gerhard serves as the director of IFH and brings together scholars across and beyond Rutgers into a vibrant interdisciplinary network that advances high quality research in core areas:

• Aging Research
• Behavioral Health
• Violence Prevention
• Health Economics
• State Health Policy
• Social and Cultural Determinants of Health
• Health Disparities
• Health Services Research

The Institute communicates with many diverse audiences, including Rutgers faculty and students, government agencies (U.S. and abroad), nongovernmental organizations in various regions of the world, industries, foundations, and individual donors.
Posting Summary
Rutgers, The State University of New Jersey is seeking a Data Analyst to join the Center for State Health Policy, within the Institute for Health, Health Care Policy & Aging Research.
Among the key duties of the position are the following:

• Works with investigators and senior staff to implement statistical programming and data analyses for population health research.
• Analyses will include application of advanced techniques in SAS software for data management, data analysis, and data linkage across large datasets and longitudinal studies. Incumbent will apply and interpret appropriate statistical modeling methods.
• Develops and maintains analytic work plans and documentation.
• Provides data-analytic support to a large program of research and will construct statistically advanced programs in SAS and other software to allow analysis of data from large and sensitive healthcare administrative datasets and population-based surveys.
• Participates in preparation of results for journal publication.

Position Status Full Time
Daily Work Shift
Work Arrangement
Consistent with the current application of Rutgers Policy 60.3.22, this position may be eligible for a hybrid work arrangement. The flexible work arrangements outlined in Rutgers Policy 60.3.22 are part of a pilot program that is effective September 1, 2022 through August 31, 2024. Therefore, there is no guarantee that this flexible work arrangement will continue beyond that date. Flexible work arrangements are not permanent, are subject to change or cancellation and contingent on the employee receiving approval in the FlexWork@RU Application System. Additional information may be found at https://futureofwork.rutgers.edu .

• A combination of education and professional experience working independently on quantitative/data management projects will be considered.
• Requires three years of data management and analysis experience in a social science, health services, or policy environment and/or training in advanced research methods.
• Requires a Master’s degree in biostatistics, epidemiology, statistics, health informatics/IT, policy analysis/administration, public health, economics or a related field.
• Additional graduate course work up to a PhD may be substituted for one year of experience.

Certifications/Licenses
Required Knowledge, Skills, And Abilities

• Capacity to create visually appealing and understandable presentation of data.
• Ability to develop and maintain clear and organized methodological documentation.
• Proficiency with SAS statistical software and advanced knowledge of Microsoft Excel is essential.
• Ability to exercise sound judgement in making critical decisions.
• Possess strong interpersonal, written and oral communication skills.
• Must work productively and cooperatively with project team members in a highly collaborative, supportive environment.
• Must have exceptional time management skills and the ability to effectively prioritize and manage multiple projects and deadlines.
• Possess strong “data hygiene” skills with an understanding of best practices for validating his/her own programs and output as well as being able to replicate and validate the work of other analysts.
• Ability to effectively interpret supervisor’s directions, and communicate progress and problems in a timely way.
• Exceptional organizational skills with a keen eye for detail and accuracy.
• Ability to build and/or adapt complex programs (e.g., hospital quality and patient safety measures) for innovative uses; requires the ability to understand and revise sophisticated bio-statistical programming.

Preferred Qualifications

• Proven ability to work with the processes and technologies of other large administrative data sets.
• Extensive knowledge of data management and manipulation using one of the following tools: Excel, SQL , Python, R, SAS , STATA , geographic mapping software or other business/data analytics tool.
• A minimum of three years of data management and analysis experience in a social science, health services, or policy environment and/or training in advanced research methods.
• Experience calculating NCQA HEDIS quality measures or other similar healthcare quality indicators (i.e. AHRQ Quality Indicators)
• Experience working with complex survey data, hospital or other healthcare provider billing/ EHR data, Medicaid/Medicare claims and other health utilization data.
• Ability to analyze and report data using statistical and Business Intelligence tools such as Tableau (Server and Prep), SAP BI.
• Microsoft Office products. Software packages such as SAS , SPSS , R, Stata and other specialized software for statistical programming and complex data manipulation

Physical Demands and Work Environment
Special Conditions
Posting Number 23ST2305
Posting Open Date 08/24/2023
Special Instructions to Applicants
Regional Campus
Home Location Campus Rutgers University - New Brunswick
City
State NJ
Pre-employment Screenings All offers of employment are contingent upon successful completion of all pre-employment screenings.
Immunization Requirements Under Policy 60.1.35 Immunization Policy for Rutgers Employees and Prospective Employees , Rutgers University requires all prospective employees to provide proof that they are vaccinated against COVID-19 prior to commencement of employment, unless the University has granted the individual a medical or religious exemption. Rutgers University may require certain prospective employees to receive an updated (bivalent) vaccine dose. 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
Supplemental Questions
Required fields are indicated with an asterisk (*).

• No
• * Do you have three years of data management and analysis experience in a social science, health services, or policy environment and/or training in advanced research methods?
• * Do you have a Master’s degree in biostatistics, epidemiology, statistics, health informatics/IT, policy analysis/administration, public health, economics or a related field?
• Yes
• No
• Yes

Required Documents Resume/CVCover Letter/Letter of ApplicationList 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 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 .
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 848-932-4444 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 [email protected] .
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 [email protected] .
To learn more about Rutgers University’s commitment to diversity and inclusion on its campuses, click here .