Behavioral Health Claiming Data Specialist (Hybrid Option)
About the role
The Research Data Specialist I (RDS I) serves as a member of the Behavioral Health Modernization Unit (BHMU). The RDS I will perform a wide range of advanced research and data management and maintenance support tasks. The RDS I will utilize various advanced business intelligence and statistical, Geographic Information System, and Microsoft Business Intelligence software applications to query, validate, format, and organize structured and unstructured data to forecast trends and assess potential impact of changes to the Medi-Cal program.
Responsibilities
- Develop complex Medi-Cal healthcare program analytic products in response to requests from internal and external DHCS stakeholders.
- Perform complex technical research assignments related to the California Department of Health Care Services Short-Doyle/Medi-Cal programs and provide expert consultative advice related to data trends and policy impacts.
- Analyze and explain individual and county-level administrative and sample data about program participants, respond to questions from internal and external stakeholders about data interpretation, and identify and explain data trends.
- Serve as a point of consult for the RDAs in the BHMU Unit for performing analytical and administrative assignments related to the implementation of changes affecting the Short-Doyle Medi-Cal claiming system and the Department’s communications with Partners.
Requirements
Minimum Requirements: You will find the Minimum Requirements in the Class Specification.
Qualifications
Describe how your knowledge, skills, and abilities relate to this position. Describe the most complicated data project you have prepared. Please include your methodology and the tools you utilized. What was the outcome? What did you learn? What would you do differently?
Desirable Qualifications
- Experience with data analysis, report writing, and data visualization programs.
- Strong analytical and critical thinking skills; able to solve problems independently.
- A high attention to detail and data accuracy.
- Ability to work collaboratively with others including staff, and existing and potential partners and stakeholders.
- Demonstrates integrity, professionalism.