Data Analyst/Administrator - Trenton, United States - Crescens

Crescens Trenton, United States

1 week ago

Description

Job Title: Data Analyst/Administrator
Location: Trenton, NJ
Duration: 5+ Months

**Please note - this position is hybrid 3 days in office for first 2 months. Then it will go to mostly remote/virtual. Client will need occasional visit (1 time per month or less)**
**This is a position that will yield about 80 hours per month. Based on the schedule of the client and demands for data analysis, this may end up being concentrated toward the end of the month, but there is flexibility**

Job Description:
Full-time professional Information Technology Project Development work experience and/or Function/Business Process Analysis work experience.

We are seeking an intellectually curious, detail-oriented, self-motivated, analytical-thinking Data Administrator with an interest in access to care for uninsured and underinsured residents to review and process healthcare claims from health centers. The successful candidate will work with large complex datasets based on medical, dental, and mental health visit claims data.

Education:

Graduation from an accredited college or university with a Bachelor's degree, including or supplemented by twelve (12) semester hour credits in Epidemiology, Public Health, Health Informatics, Health Information Management, Economics, Statistics, Quantitative Analysis, Operations Research, and/or Market Research.
Master's level coursework in epidemiology, biostatistics, or a related field is a plus.

Experience:

Two (2) years of comprehensive technical research and statistical analysis experience in epidemiology, public health, economics, public health administration, or a related field involving the use, operation, and/or management of database systems.
bility to use dashboard software (e.g., Microsoft PowerBi, Tableau) or ArcGIS for data visualization is a plus.
Experience with intermediate to advanced level SAS programming, including demonstrating methodologies used to conduct probabilistic data linkage in SAS.
Experience with programming languages such as R and Python is a plus.

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