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Deloitte MMIS ETL and Data Warehousing Healthcare Consultant in Tacoma, Washington

Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

State Medicaid Data Warehouse Analytics (Consultant/ Senior Consultant levels)

Are you a Medicaid Management Information System (MMIS) subject matter expert with technical/functional State Medicaid Data Warehouse 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

Work on implementing MMIS or Medicaid Data Warehouse for State Medicaid Agencies

Provide system level expertise across multiple computing platforms and technologies and work to influence direction around information management at the Enterprise Level

Work with program managers, state directors and other key stakeholders, build sustainable relationships with key stakeholders responsible for information and performance management in client's organization

Organize knowledge transfer to clients

Develop and manage vendor relationships

Present in workshops for client education

Manage team s on a data warehousing engagement

Qualifications

Required:

3+ years of experience within a Consulting or Health Technology environment

State MMIS experience

ETL and Data Warehouse experience

Bachelor's Degree from an accredited College or University

Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Ability to travel 25% to 50%.

Desired:

Experience within Medicaid Management Information systems (MMIS), Medicaid or Commercial Health Care claims, Provider Management and/or Eligibility data

Experience implementing a data warehouse for State Medicaid Agency

Experience with one of more of the following: SQL/PLSQL, ETL, Cognos, R, Python, Tableau, QlikView, Power BI, Business Objects

Experience in designing, analyzing, supporting, and developing data warehouse objects, data quality processes, fact and dimension tables, logical and physical database design, data modeling, reporting process metadata and ETL processes.

Experience working in Cloud based environment (AWS or Azure)

Healthcare Data Analytics

Oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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