Senior Data Governance Analyst - Hybrid & Data Quality Leader

Dayzim; Philadelphia (Philadelphia County); Hybrid; USD 92,000 - 137,000; Full time

Benefits offered by this job

Medical, dental & vision insurance

Life & disability insurance

Paid maternity and parental leave

Pet insurance

Job summary

Day & Zimmermann, Inc. is seeking a Sr. Analyst, Data Governance to elevate the enterprise data governance framework, ensuring high data quality, integrity, and consistency across key systems.

You will work with IT and business teams, performing advanced SQL profiling, validating business rules, and supporting MDM initiatives. You will develop governance metrics, dashboards, and reporting tools to drive decisions, ERP modernization, and AI initiatives, while promoting data governance best

Qualifications

• Bachelor's degree in a relevant field or equivalent experience.
• 1
• 5+ years of experience in Data Governance, Data Quality Management, BI, ERP apps, or Data Engineering.
• Master's degree in a related field is preferred.

Responsibilities

• Collaborate with Business Data Owners and Data Stewards to define governance standards and ownership models.
• 2 Gather business rules and accountability frameworks and enforce them.

Skills

SQL querying

Data governance

Power BI

Excel

ERP systems

API integrations

ETL processes

Python scripting

Stakeholder management

MDM

Education

Bachelor's degree in Computer Science / Information Systems / Data Analytics / Business Administration

Master's degree preferred

Tools

SAP

Salesforce

Bullhorn

Microsoft Purview

Collibra

Alation

Informatica

Job description

Day & Zimmermann, Inc. is seeking a Sr. Analyst, Data Governance to elevate the enterprise data governance framework, ensuring high data quality, integrity, and consistency across key systems.

You will work with IT and business teams, performing advanced SQL profiling, validating business rules, and supporting MDM initiatives. You will develop governance metrics, dashboards, and reporting tools to drive decisions, ERP modernization, and AI initiatives, while promoting data governance best