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USC Marshall School of Business - Data Sciences and Operations Logo
USC Marshall School of Business - Data Sciences and Operations

Los Angeles, California

BlackLocus, a Home Depot Company

Austin, Texas

City of Garland

Garland, Texas

Oregon Department of Transportation

The Dalles, Oregon

Battelle Memorial Institute

Columbus, Ohio

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Tilburg University

Tilburg, Netherlands

Eurofins/TestOil Logo
Eurofins/TestOil

Strongsville, Ohio

The University of Chicago

Chicago, Illinois

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Integra Credit

Chicago, Illinois

University of California, Agriculture and Natural Resources

Merced, California

Nooksack Indian Tribe

Deming, Washington

Providence Healthcare Group

St. Petersburg, Florida

BlackLocus, a Home Depot Company

Austin, Texas

San Francisco Public Utilities Commission (SFPUC)

San Francisco, California

THE UNIVERSITY OF HONG KONG

HKG, Hong Kong, China

Long Island Power Authority Logo
Long Island Power Authority

Uniondale, New York

Long Island Power Authority Logo
Long Island Power Authority

Uniondale, New York

CDM Smith Logo
CDM Smith

East Hartford, Connecticut

CDM Smith Logo
CDM Smith

Portland, Oregon

Krauthamer & Associates (K&A)

Phoenix, Arizona

PricewaterhouseCoopers Advisory Services LLC

Houston, Texas

Long Island Power Authority Logo
Long Island Power Authority

Uniondale, New York

Bendix Commercial Vehicle Systems Logo
Bendix Commercial Vehicle Systems

Hanover, Pennsylvania

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Manager, Data and Analytics Technology (Multiple Positions)
Manager, Data and Analytics Technology (Multiple Positions), PricewaterhouseCoopers Advisory Services LLC, Washington, DC. Use descriptive and predictive analytical techniques to incorporate client, third-party, and proprietary health data to help answer questions and design solutions for the client’s most pressing business issues. Leverage healthcare data to rapidly discover, quantify, and deliver value from the healthcare industry with intelligent analytics and scalable end-to-end business solutions. Drive analytics adoption, accelerating value delivery, developing in house talent, and building solutions and trust in data.   40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m.


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