Data Analyst

Position Details

Position Information

Recruitment/Posting Title	Data Analyst
Job Category	Staff & Executive - Research (Laboratory/Non-Laboratory)
Department	Center for State Health Policy
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: Behavioral Health Health Economics Social and Cultural Determinants of Health Pharmacoepidemiology Violence Prevention Health Disparities Aging Research State Health Policy 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: 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. 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. Supports preparation of results for journal publication.
Position Status	Full Time
Hours Per Week
Daily Work Shift
Work Arrangement
FLSA	Exempt
Grade	05
Position Salary
Annual Minimum Salary	66697.000
Annual Mid Range Salary	84422.000
Annual Maximum Salary	102147.000
Standard Hours	37.50
Union Description	Admin Assembly (MPSC)
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	Requires a Master’s degree in biostatistics, epidemiology, statistics, health informatics/IT, policy analysis/administration, public health, economics or a related field. A combination of education and professional experience working independently on quantitative/data management projects will be considered. Requires two years of data management and analysis experience in a social science, health services, or policy environment and/or training in advanced research methods.
Certifications/Licenses
Required Knowledge, Skills, and Abilities	Exceptional organizational skills with a keen eye for detail and accuracy. Proficiency with SAS statistical software and advanced knowledge of Microsoft Excel is essential. 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. Ability to effectively interpret supervisor’s directions and communicate progress and problems in a timely way. Capacity to create visually appealing and understandable presentation of data. Must work productively and cooperatively with project team members in a highly collaborative, supportive environment. Ability to develop and maintain clear and organized methodological documentation. Possess strong interpersonal, written and oral communication skills. Must have exceptional time management skills and the ability to effectively prioritize and manage multiple projects and deadlines. Ability to exercise sound judgement in making critical decisions. 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.
Preferred Qualifications	Three years or more of data management and analysis experience in a social science, health services, or policy environment and/or training in advanced research methods.• Experience working with complex survey data, hospital or other healthcare provider billing/EHR data, Medicaid/Medicare claims and other health utilization data. Proven ability to work with the processes and technologies of other large administrative data sets. Experience calculating NCQA HEDIS quality measures or other similar healthcare quality indicators (i.e. AHRQ Quality Indicators). 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. Ability to analyze and report data using statistical and Business Intelligence tools such as Tableau (Server and Prep), SAP BI.
Equipment Utilized	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 Details

Posting Number	24ST0289
Posting Open Date	02/07/2024
Special Instructions to Applicants
Regional Campus	Rutgers Biomedical and Health Sciences (RBHS)
Home Location Campus	Rutgers University - New Brunswick
City	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 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