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Weyerhaeuser

Seattle, Washington

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Amgen Inc

Thousand Oaks, California

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Miami University

Oxford, Ohio

BlockScience

Philadelphia, Pennsylvania

PricewaterhouseCoopers Advisory Services LLC

Salt Lake City, Utah

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Prince Mohammed Bin Salman College (MBSC) of Business & Entrepreneurship

Jeddah - King Abdullah Economic City , Saudi Arabia

PricewaterhouseCoopers Advisory Services LLC

New York, New York

PricewaterhouseCoopers Advisory Services LLC

New York, New York

PricewaterhouseCoopers Advisory Services LLC

San Jose, California

PricewaterhouseCoopers Advisory Services LLC

San Jose, California

PricewaterhouseCoopers Advisory Services LLC

Houston, Texas

Kennesaw State University

Marietta, Georgia

Technical University of Munich (TUM)

Germany

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CNA Corporation

Arlington, Virginia

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Burlingame, California

Geneva School of Economics and Management, University of Geneva

Geneva, Switzerland

Dalhousie University

Halifax, Nova Scotia, Canada

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USC-Daniel J Epstein Dept of Industrial & Systems Engineering

Los Angeles, California

PricewaterhouseCoopers LLP

Philadelphia, Pennsylvania

suffolk university

Boston, Massachusetts

Technical University of Munich (TUM)

Munich, Germany

University of Chicago Booth School of Business

Chicago, Illinois

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Data Quality Analyst (Senior Analyst)
In this position, you perform a variety of high-level technical and analytical tasks to improve data quality.  You will work closely with system administrators to research, remediate and monitor data quality issues that impact analysis and reporting. Essential Job Functions - the basic job duties an employee must be able to perform:  Use technology to evaluate large datasets for quality and accuracy; systematically audit, identify and recommend solutions for data quality problems to include record duplication, inconsistencies, and accuracy and missing data Work with system administrators to include RMS to prioritize and correct data quality errors, determine root cause for data quality errors and make recommendations for long-ter


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