Master Data Analyst

LinQ Global Group•Chicago, IL

19h

About The Position

We are seeking a Master Data Analyst to serve as a recognized subject matter expert and lead data governance efforts, defines standards and collection/maintenance rules, promote the "data as an asset" concept, and collaborates closely with business and IT counterparts to deploy scalable master data solutions.

Requirements

Recognized expert with specialized depth and breadth in Data, Analytics & Insights, specifically within Master Data Management (MDM).
Comprehensive knowledge of MDM strategy, data modeling, master/reference data groups, taxonomies, and governance framework implementation.
Proven capability to solve complex problems independently, take a broad perspective on business issues, and recommend best practices.
Strong ability to guide and mentor Associates, lead functional project teams, and maintain structured communication across business and IT units.

Responsibilities

Define Master Data strategy, data models, standards, taxonomies, and policies across different data domains in line with business needs.
Identify and deploy data standards, collection rules, and maintenance guidelines to continuously monitor and improve data quality.
Define ownership of Master & Reference Data groups and develop, document, and maintain MDM governance processes.
Educate and train the broader data management organization and business data owners on governance processes and compliance rules.
Drive the implementation of tools and systems interventions to deploy master data solutions across business segments and markets.
Define, review, and approve new or modified data standards, business rules, and master data maintenance procedures.
Connect multiple sources of information to solve complex cross-functional problems and drive data-informed decision-making.
Drive organizational change to align strategic business needs into data harmonization, advocating for the "data as an asset" model.
Ensure clear communication, alignment, and input between business unit stakeholders and IT counterparts.
Prioritize base business initiatives focused on data standards, process development, and system implementation.
Interpret internal and external business issues, evaluate broad perspectives, and recommend industry best practices.
Lead functional teams or special projects, providing technical leadership, mentoring, and guidance to other Associates.