Data Governance Analyst

HD Supply-posted about 2 months ago

Full-time • Mid Level

Atlanta, GA

5,001-10,000 employees

Merchant Wholesalers, Durable Goods

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Responsible for implementing the day-to-day needs of the data governance and data quality program. Participate in recommending and implementing policies and procedures for data governance approved by the Data Governance council and Data Governance team. Identify data quality opportunities and drive compliance with data governance and quality initiatives. Ensure data governance opportunities are identified and addressed throughout the project life cycle.

Participates in the execution and implementation of approved data definitions, policies, standards, process data access, and dashboard statistics.
Supports requests to change configurations, use, or design of data elements for specific area of influence. Conducts testing and user acceptance of new system functionality.
Analyzes and identifies data sources, data, redundancy, and implements processes to remediate data issues and /or data clean-up efforts.
Supports governance principles, policies, and stewardship within the business.
Assists in the development and distribution of data quality dashboard.
Scopes, resources, and manages data quality initiatives.
Participates in the review of all system enhancements and new technologies for data needs, use, and redundancies.

Demonstrates skill in data analysis techniques by resolving missing/incomplete information and inconsistencies/anomalies in more complex research/data.
Nature of work requires increasing independence; receives guidance only on unusual, complex problems or issues. Work review typically involves periodic review of output by a supervisor and/or direct customers of the process.
May provide general guidance/direction to or train junior level support or professional personnel.
Typically requires BS/BA in a related discipline. Generally 2-5 years of experience in a related field OR MS/MA and generally 2-4 years of experience in a related field. Certification is required in some areas.

Strong expertise in SQL with the ability to write, optimize, and troubleshoot complex queries for data extraction, analysis, and reporting.
Proficiency in creating, testing, and troubleshooting regular expressions (Regex) for text parsing, validation, and pattern-based data manipulation.
Experience with eCommerce analytics, including analyzing performance metrics and delivering actionable insights to improve business outcomes.
Hands-on experience with data visualization tools (e.g., Tableau, Adobe Analytics) and preparing clear reports and presentations for leadership and cross-functional teams.
Familiarity with cloud-based data platforms such as Snowflake, AWS Redshift, or Google BigQuery; Python for data manipulation and automation is a plus.
Demonstrated ability to support data governance initiatives by applying policies, standards, and dashboards to monitor and improve data quality.
Strong analytical and problem-solving skills with exceptional attention to detail, accuracy, and data integrity.

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