Data Governance & Quality Analyst

Dow Inc.; Hempstead (TX); On-site; USD 65,000 - 90,000; Full time

Benefits offered by this job

Employee stock purchase programs

Retirement savings match program

Generous paid time off and parental-le

Wellbeing portal

On-site fitness facilities

Employee discounts

Job summary

Dow is hiring a Data Governance Analyst (Business Process Specialist) to support enterprise governance practices in Midland, MI or Houston, TX. You will maintain governance artifacts, improve data quality, and document metadata across business domains.

The role blends analytic rigor with collaboration with business and technical teams to enhance data usability and consistency across enterprise assets.

Qualifications

• Bachelor's degree or equivalent military experience (U.S. E5 or Canadian equivalent).
• 2+ years in data governance, data management, analytics, or related field.

Responsibilities

• Execute established data governance processes, standards, and controls.
• Support governance initiatives through deliverables.
• Create and maintain metadata, glossary entries, and data catalog content.
• Document data ownership, stewardship, and data lineage.
• Maintain governance repositories and standards documentation.
• Perform data quality assessments and validation.
• Monitor data quality metrics and identify issues.
• Support root-cause analysis and remediation of data quality issues.
• Prepare governance documentation and recommendations for review.

Skills

Business Requirements

Critical Thinking

Data Compilation

Collaborative Spirit

Written Communication

Education

Bachelor's degree or military experience

Tools

Data catalogs

Data quality platforms

Reporting tools

Job description

Dow is hiring a Data Governance Analyst (Business Process Specialist) to support enterprise governance practices in Midland, MI or Houston, TX. You will maintain governance artifacts, improve data quality, and document metadata across business domains.

The role blends analytic rigor with collaboration with business and technical teams to enhance data usability and consistency across enterprise assets.