Data Governance Analyst

Overview

As the fastest-growing distributor of restaurant equipment, HVAC and residential appliance parts, we like to do things a little differently. First, you need to understand and demonstrate our Core Values with safety being your first priority. That’s key. We’re also looking for unique enthusiasm, high integrity, courage to embrace change, and if you know a few jokes, that puts you on the top of our list!

Do you have a genius-level knowledge of original equipment manufacturer parts? If not, no problem. We’re more interested in passionate people with fresh ideas from different backgrounds. We’re proud that our workplace has been recognized for its growth and innovation on the Inc. 5000 list 15 years in a row and the Crain’s Fast 50 list ten times. We are honored to be voted by our Chicagoland team as a Chicago Tribune Top Workplace for the last four years.

If you’re ready to roll up your sleeves, go above and beyond and put your ambition to work, all while having some fun, let’s chat – Apply Today!

• Team member appreciation events and recognition programs
• Volunteer opportunities
• Casual dress code
• On demand pay options:
  Access your pay as you earn it, to cover unexpected or even everyday expenses
• All the traditional benefits like health insurance, 401k/401k match, employee assistance programs and time away – don’t worry, we’ve got you covered

We are seeking an experienced Master Data Management (MDM) & Data Governance Analyst to design, implement, and operate data governance processes and master data solutions across our enterprise. This role will lead data standards, metadata, data quality monitoring, and reference/master data domains (e.g., Customer, Product, Vendor), with a strong emphasis on Google Cloud Platform (GCP) capabilities (Big Query, Dataplex, Data Catalog).

The ideal candidate blends business acumen with technical depth and can partner with data engineering, security, and business stakeholders to deliver trusted, well-governed data at scale.

• Drive domain-level MDM (e.g., Customer, Product, Vendor, Location) including survivorship rules, match/merge, golden record creation, and hierarchy management.
• Define and execute data stewardship processes; triage master data issues and change requests.
• Establish policies, standards, and controls for data quality, metadata, lineage, and access.
• Define business glossaries, data definitions, and critical data elements (CDEs). Participate in governance councils and run working groups; track adoption and compliance KPIs.
• Design and implement data quality rules, profiling, and monitoring dashboards for priority data domains.
• Coordinate issue management and remediation with data owners and engineering teams.
• Implement preventative/automated checks and SLAs for data reliability across pipelines.
• Integrate metadata, lineage, and DQ workflows with GCP-native tools such as Dataplex and/or governance platforms (e.g., Collibra/Alation).
• Collaborate with data engineering on ingestion, transformation, and model design aligned to governance standards.
• Align governance and controls with regulatory requirements (e.g., GDPR/CCPA, SOX), security standards, and internal audit findings.
• Support access reviews, data retention/archival, and sensitive data handling (PII/PHI).
• Build training, playbooks, and communications to drive adoption of governance processes.
• Contribute to enterprise initiatives and participate in cross-functional projects to ensure data governance requirements are embedded in system implementations and process changes.
• Collaborate with Enterprise Architecture to establish and operationalize core MDM capabilities, including governance, data quality controls, and domain stewardship.

• You have 5–7 years in Data Governance, MDM, Data Quality, and Metadata Management.
• You have hands-on experience with GCP data ecosystem:
  • Big Query (SQL, performance tuning, partitioning/clustering)
  • Dataplex (data domains, policies)
  • Data Catalog (tags, metadata, lineage)
  • IAM (RBAC/ABAC, service accounts)
• You have a strong understanding of data quality techniques (profiling, rules, thresholds, remediation workflows).
• You have experience…