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 for the Center for State Health Policy for the Institute for Health, Health Care Policy and Aging Research (IFH). They will be assigned to work within the NJ Division of Medical Assistance & Health Services’ (“DMAHS” or “Medicaid”) Business Intelligence Unit (BIU) located in Hamilton Township, NJ. This arrangement builds on a long standing and productive relationship between CSHP and NJ Medicaid and presents the unique opportunity for qualified analysts who desire to work with large and complex health care data systems and seek the broad technical and policy experience gained from working with colleagues in both an academic environment and for a state government program. Working and training under the direction of leadership within the Medicaid BIU, and the Associate Director of Data Analytics at the Center for State Health Policy, the analyst(s) will assist in the development, staffing, and operations of the BIU, expanding the current data analytic capabilities of DMAHS and enabling the rapid identification of emerging trends in enrollment, eligibility, service utilization, and other information needed to gain actionable intelligence on ways to improve the quality and efficiency of health care services delivered to clients within the NJ FamilyCare program. Among the key duties of the position are the following: Engages in detailed research projects undertaken at the request of the DMAHS Director/Assistant Commissioner or senior management to inform the future direction of the NJ FamilyCare program. Participates in the development of business intelligence tools to support the Business Intelligence Unit, including interactive dashboards, slide presentations, standardized queries for various performance metrics, and other business intelligence deliverables. Develops ad-hoc reports from the State’s data warehouse in response to requests for information made pursuant to the Open Public Records Act, press inquiries, and inquiries from various sources within State government, including for example, individuals from DMAHS, other DHS divisions (including DHS senior management), Department of Health, Department of Treasury, Department of Children and Families, and the Office of the Governor, provided that only HIPAA “safe harbor” de-identified information can generally be provided outside of DMAHS. Supports the Business Intelligence Unit and the State’s data warehouse in the linking of various data sets that may be useful for developing methods of healthcare quality improvement and cost containment in NJ FamilyCare. Provides assistance to various DMAHS business units in performing statistical sampling required by state or federal law or statute. Performs tasks under general supervision and may be assigned a specific area of responsibility.
Position Status	Full Time
Hours Per Week
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 .
FLSA	Exempt
Grade	06
Position Salary
Annual Minimum Salary	76702.000
Annual Mid Range Salary	97086.500
Annual Maximum Salary	117471.000
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 . Rutgers also offers a benefit program to eligible full-time postdoctoral fellow students. For details, please go to https://finance.rutgers.edu/healthcare-risk/insurance/postdoctoral-health-insurance.
Seniority Unit
Terms of Appointment	Staff - 12 month
Position Pension Eligibility	ABP

Qualifications

Minimum Education and Experience	A minimum of a Bachelor’s degree in relevant disciplines including epidemiology, health informatics/IT, policy analysis/administration, public health, economics, engineering, computer science, or information security. A minimum of five (5) years of professional experience querying, analyzing, and reporting on complex healthcare data sets utilizing such programs such as Access, SAS, SQL, SAP BI or equivalent. Note that an advanced degree can be substituted for 2 years of experience.
Certifications/Licenses
Required Knowledge, Skills, and Abilities	Advanced knowledge of data management and manipulation using a combination of the following tools: MS Access, Excel, SQL, Python, R, geographic mapping software or other business/data analytics tools. Ability to analyze and report data using statistical and Business Intelligence dashboard tools such as Tableau (Server and Prep), SAP BI. Strong work ethic and problem-solving skills with a strong attention to detail and scientific curiosity. Ability to work independently and lead various BIU activities. Good collaborator, with the ability and motivation to progress rapidly in assimilating and applying advanced techniques in statistical analysis and programming, complex data management, and systems improvement strategies. Exceptional organizational skills. 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. Work productively and cooperatively with project team members in a highly collaborative, supportive environment. Ability to develop and maintain clear and organized methodological documentation. Ability to interpret business requirements and reporting requests. 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 own programs and output as well as being able to replicate and validate the work of other analysts. Ability to establish and maintain productive and successful relationships with the appropriate agencies and external DMAHS vendors with regard to information processing requirements. Knowledge of the development and maintenance of systems documentation including feasibility reports, specifications, design documentation, test scripts, data, etc.
Preferred Qualifications	Masters degree in relevant disciplines including epidemiology, health informatics/IT, policy analysis/administration, public health, economics, engineering, computer science, or information security. Experience working with and analyzing complex hospital or other healthcare provider billing/EHR data, Medicaid/Medicare claims and other health utilization data for research, program evaluation, and policy development within an academic or government agency setting. Proven ability to work with the processes and technologies of other large administrative health and financial data Experience building NCQA HEDIS quality measures or other similar healthcare quality indicators (i.e. AHRQ Quality Indicators, PQA) and/or alternative payment models. Ability to prepare clear, sound, accurate, and informative statistical and narrative reports containing findings, analyses, conclusions, and recommendations. A record of accomplishments in the area of health data analytics.
Equipment Utilized	Microsoft Office products. Software packages such as SAS, SAP BI, Access, Tableau and other specialized software for statistical programming and complex data manipulation
Physical Demands and Work Environment
Special Conditions

Posting Details

Posting Number	23ST2365
Posting Open Date	08/30/2023
Special Instructions to Applicants
Regional Campus	Rutgers University-New Brunswick
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