State Health Technology Analytics
Are you a Medicaid Management Information System (MMIS) subject matter expert with technical/functional Medicaid Data Analytics experience? Do you want to help us transform the Medicaid market as it embraces modularization and we help our clients create a new future for Medicaid technology?
Work you'll do
Provide expertise on Medicaid and Healthcare Analytics
Analyze, support and develop data warehouse objects, data quality processes, design and develop fact and dimension tables, logical and physical database design, data modeling, reporting objects and ETL processes.
Perform Data analysis and profiling
Interpret the rules for data integration and conversion
Drive client conversations around technical and functional design and specifications.
Work in Cloud based environment (AWS or Azure )
Implement technology-enabled business solutions for clients as part of a high-talent team.
Our Health Technology team implements repeatable solutions to solve our government clients' most critical health technology related issues. We advise on, design, implement and deploy solutions focused on government health agencies at the heart of the business's issues including claims management, electronic health records, health information exchanges, health analytics and health case management.
Our clients seek a fresh perspective on how to leverage reusable, interoperable and flexible solutions that will enable them to reduce costs, improve health outcomes and respond to public health crises. Professionals will use their deep health, government and technology consulting experience to strategically help solve our client's technology challenges.
2+ years of experience working within a Health Tech data analytics environment
MMIS , Medicare, Medicaid experience
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Experience with one of more of the following: SQL/PLSQL, ETL, Cognos, R, Python, Tableau, QlikView, Power BI, Business Objects
Experience working in Cloud based environment (AWS or Azure)
Healthcare Data Analytics
Oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint