Master Data Specialist- Minneapolis, MN

Compass Group•Minneapolis, MN

1d•$58,000 - $63,000•Onsite

About The Position

This position supports all of Canteen (including Canteen, Canteen One, and Franchise) and focuses on directing and overseeing efforts to structure, cleanse, monitor, and analyze master data and master relationship data across key back-office systems (ERP, CRM, etc.). The role fosters trust and security in enterprise master data by building a strong data stewardship program, promoting a data-focused culture, and advocating for proper data governance and usage.

Requirements

High school diploma or G.E.D. required.
Without a Bachelor’s degree: 3 years of business experience in data management or administration required.
With a Bachelor’s degree: 2 years of data management or administration experience required.
Experience with master data elements and hierarchies relevant to retail clients (customer, vendor, equipment, product) required.
Experience with front-of-house and back-of-house management systems and related data (sales, accounting, finance, warehouse, asset, fulfillment) required.
Demonstrated high proficiency in MS Excel.
Ability to turn data into actionable information.
Experience with Master Data Management solutions (e.g., Informatica, Stibo) required.

Nice To Haves

Minimum of 5 years of systems experience preferred.
Formal training or certification in Data Analysis preferred.

Responsibilities

Contribute to ongoing initiatives to define, cleanse, and integrate master data sets across Canteen and Compass organizations, including customer, product, vendor, and equipment types.
Ensure master data integrity in key systems and maintain processes to support data quality.
Develop and document processes with functional data owners to support ongoing maintenance and data integrity.
Identify areas for data quality improvement and resolve issues through error detection, correction, process control, and improvement strategies.
Collaborate with subject matter experts and data stewards to define and implement data strategy, policies, controls, and programs ensuring enterprise data is accurate, complete, secure, and reliable.