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Data Quality Specialist, Global Business Intelligence, John Wiley & Sons, Hoboken, NJ


John Wiley & Sons, Inc. is a leading global enterprise providing must-have content and services for the academic, professional, scientific, technical, medical, scholarly and consumer markets. Voted one of the world's most respected companies by the Financial Times; one of Forbes' Biggest Best Companies; "One of the 20 Best Book Publishing Companies to Work For" by Book Business magazine; one of the 100 Best Companies for Working Mothers by Working Mother Magazine; and one of the 100 Best Companies to Work For by Fortune, Wiley is an equal opportunity employer, committed to attracting and retaining a talented and diverse workforce that will allow us to compete effectively in a diverse, global marketplace. We are further committed to fostering a work environment in which all colleagues are valued and can enjoy professional success.

Data Quality Specialist, Global Business Intelligence
Location: US - NJ - Hoboken
Business: Corporate
Job Code: 5385
# of openings: 1
 
Description
Working in our Business Intelligence Department as a Data Quality Specialist, you will perform ongoing data validation and reconciliation activities related to the BMIS data warehouse operations.  You will perform routine data profiling activities to permit proactive assessment of overall data quality, as well as data QA activities related to individual BI projects as needed, which includes: execution of QA activities, documentation and tracking of bugs, and communication of issues to project team management.  You will administer the BI issues tracking system, which includes: issues reports and statistics, creation of new issues, follow up with issues owners on issues maintenance, training of colleagues in use of issues systems, and tracking and processing routine manual adjustments uploads.  Ad-hoc data inquiries and analyses using BI tools may also be requested.  Heavy communication with global colleagues across multiple functions will be expected.

Requirements
  • 1-3 years experience in Data Analysis or Support related to a large-scale systems project.
  • Understanding of Data Warehouse concepts.
  • Hands-on working knowledge of general systems documentation and standards.
  • Proven investigative analytical and problem solving ability.
  • Extensive experience/skills in Microsoft Office products, as well as Access, Visio, and MS Project.
  • Highly organized, with a proven ability to perform routine tasks to a high quality standard
  • Strong verbal and written communication skills.
  • Ability to multi-task and manage 2 or more complex assignments concurrently.
  • Ability to establish and maintain strong working relationships with various global colleagues.

To Apply
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