Medicaid Data & Systems Analyst

Job Description:
Pls note and make your candidate aware before submitting: ON SITE Interviews only (No Exceptions). If your candidate agrees to interview on site then requests to change to virtual (for whatever reason) and cannot IV on site as required, we will need to remove them from consideration. In Person interviews are required and the mgr/team will do their best to accommodate candidate’s availability (and give as much advanced notice as possible) but the IVs must also be done in a timely manner.
Important to note bf submitting: This is a Medicaid business knowledge-heavy role. If the candidate does not have strong business knowledge of Medicaid system components and related business rules and processes, and this experience isn’t clearly reflected (highlighted) on the resume, we will not consider them. Pls make sure this exp is in their resume (not just in skills matrix) before submitting! We will not have time to follow up and ask the vendor why its not there.

ABOUT THE ROLE
There is a need for a full-time Data/Systems analyst to support enhancements and fixes for the MES Care Management Solution (CRMS). This position is one of the key personnel supporting the MES CRMS components and provides deep business and technical knowledge of CRMS and its data and works closely with the business teams, MES Technical teams and managed care plans to determine requirements for CRMS system enhancements.

Must have strong business knowledge of Medicaid system components and related business rules and processes. Must have experience providing technical solutions, ETL development, solution design, creating logical and physical data models. Heavily involved in Data interfaces between different MES modules and external trading partners such as Managed Care Plans. Looking for someone with prior technical experience as a developer and prior experience working with an Agile board to assign and track team assignments. Prior experience with Azure DevOps and working with CICD Pipelines is helpful.

Tools: Oracle, MongoDB, Talend, SQL Server, PL/SQL.