Regional Data Quality & Governance Lead

The Sherwin-Williams Company; Cleveland (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

The Sherwin-Williams Company in Cleveland, OH is seeking a Lead Data Management Analyst to plan, design, develop and assess data quality and governance programs. You will ensure data integrity, completeness and proper formatting, using SQL, ETL and profiling techniques to test outputs against specifications.

Responsibilities include leading audits, documenting tests, and guiding automated and manual data quality work within governance frameworks.

Qualifications

• Bachelor's degree in CS/IT or related field, or 9+ years data management experience.
• 6+ years in data quality management.
• In-depth knowledge of data quality frameworks, policies, procedures and controls.
• Extensive knowledge of data governance, MDM, and data modeling.
• Expertise in SQL, ETL, and data profiling and cleansing.
• Analytical skills to analyze complex data quality issues and root cause.
• Legally authorized to work without sponsorship in the United States.

Responsibilities

• Facilitate quality assessments on data elements and structures for integrity and quality.
• Provide strategic guidance for manual or automated data testing against specs and governance rules.
• Lead regular and ad hoc reviews, audits and investigations of data activity and integrity; prepare reports.
• Implement guidelines and documentation of test development processes and standards.

Skills

SQL

ETL

Data profiling

Data cleansing

Data governance

Master data management

Data modeling

Analytical skills

Education

Bachelor's degree in Computer Science or IT

Tools

IBM InfoSphere Information Analyzer

Talend

Data Warehousing & ETL

SAS

R

Python

SSAS

Oracle

Microsoft SQL Server

MySQL

DataFlux

Trillium

Informatica Data Quality

Job description

The Sherwin-Williams Company in Cleveland, OH is seeking a Lead Data Management Analyst to plan, design, develop and assess data quality and governance programs. You will ensure data integrity, completeness and proper formatting, using SQL, ETL and profiling techniques to test outputs against specifications.

Responsibilities include leading audits, documenting tests, and guiding automated and manual data quality work within governance frameworks.