Data Governance Analyst

Position at Parts Town See What We're All About

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. But 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. That's what keeps us at the top of our game. 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!

Perks

• Parts Town Pride - check out our virtual tour and culture!
• Quarterly profit-sharing bonus
• Hybrid Work schedule
• 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.

The Jobat aGlance

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 (BigQuery, 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.

A Typical Day

• 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.

To Land This Opportunity

• You have 5-7 years in Data Governance, MDM, Data Quality, and Metadata Management.
• You have Hands-on experience with GCP data ecosystem:
  • BigQuery (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 defining data standards, business glossary, and metadata models.
• You have experience with MDM platforms (e.g., Teradata, Informatica MDM/360, Reltio, Profisee) or custom MDM implementations.
• You have experience with Data Governance tools such as Dataplex, Collibra, Alation, Informatica.
• You are proficient in SQL; familiar with Python or data pipeline tooling a plus.
• You have excellent cross-functional communication and stakeholder management skills.

About Your Future Team

Our team's favorite pastimes include corny jokes, paintball, and Guardians of the Galaxy. We like both dogs and cats, and we like coffee and tea...a lot (we'll hear you out on whether Dunkin or Starbucks gets your vote).

At Parts Town, we value transparency and are committed to ensuring our team members feel appreciated and supported.We prioritize our positive workplace culture where collaboration, growth, and work-life balance are celebrated. The salary range for this role is $61,773. to $95,474.41 anually) which is based on including but not limited to qualifications, experience, and geographical location. Parts Town is a pay-for performance company. In addition to base pay, some roles offer a profit-sharing program, and an annual bonus depending on the role.

Parts Town welcomes diversity and as an equal opportunity employer all qualified applicants will be considered regardless of race, religion, color, national origin, sex, age, sexual orientation, gender identity, disability or protected veteran status.

We are an E-Verify employer.

For more information, please click on the following links:
E-Verify Participation Poster: English | Spanish
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