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# Data Management Analyst

- **Company:** Siemens AG
- **Location:** Peachtree Corners, GA, United States
- **Experience:** Experienced
- **Salary:** $70,891
- **Contract:** Permanent contract
- **Skills:** Information Systems, Data Governance, Data Transformation, Data Migration, Data Visualization, Power BI, SAP (Applications), SQL Databases, Tableau (Software), Enterprise Data Management, Snowflake, Information Technology, Data Analytics, Data Management, Alteryx, Databricks
- **Published:** November 13, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3517350411&tx=FP3128FFP&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

The Business Technology Data Management Team is looking for a motivated and analytical Data Management Analyst to help drive the quality, integrity, and usability of enterprise data across the organization.

In this role, you'll partner with business and technology teams to ensure critical data is accurate, consistent, and well-governed while helping transform that data into meaningful insights that support decision-making. You'll work across a variety of functions, leveraging tools such as Tableau, SQL, SAP, and Product Master Data (PMD) platforms to improve processes, enhance reporting, and support strategic business initiatives.

This position offers an opportunity to work at the intersection of business and technology, influencing how data is managed, reported, and used across the enterprise. Whether identifying opportunities to improve data quality, creating impactful dashboards, or collaborating with stakeholders to solve complex business challenges, you'll play a key role in advancing the organization's data-driven culture.

The ideal candidate combines strong analytical skills with a passion for problem-solving, process improvement, and cross-functional collaboration.

This position will be based at our Peachtree Corners, GA location., * Bachelor's degree in Business, Information Systems, Data Analytics, Computer Science, Engineering, or a related field

 * 3+ years of professional experience in data management, master data management, data governance, data analytics, business intelligence, or a related discipline
 * Hands-on experience using SQL to extract, analyze, and validate data
 * Experience developing reports, dashboards, and data visualizations using Tableau
 * Ability to manage multiple priorities and collaborate with stakeholders across business and technology functions
 * Legally authorized to work in the United States on a continual and permanent basis without company sponsorship

Preferred Qualifications:

 * Hands-on experience managing product master data or another enterprise master data domain
 * Working knowledge of SAP master data processes and enterprise resource planning systems
 * Knowledge of data governance, data quality, and Master Data Management principles and practices
 * Experience using Power BI, Snowflake, Databricks, Alteryx, or similar data and analytics platforms
 * Experience supporting digital transformation, process improvement, data migration, or data modernization initiatives
 * Tableau, SAP, or another relevant data management or analytics certification

## Description

* Managing and improving product master data and other critical enterprise data to support accuracy, consistency, integrity, and usability across the organization
 * Developing Tableau dashboards, reports, and visualizations that translate complex data into actionable business insights
 * Writing and optimizing SQL queries to analyze and validate data, investigate data issues, and support business reporting needs
 * Monitoring data quality, identifying root causes of issues, and implementing improvements to strengthen data governance and stewardship practices
 * Partnering with Operations, Supply Chain, Finance, Sales, and Information Technology stakeholders to resolve data challenges and improve business processes
 * Supporting system enhancements, data migrations, process improvements, and other initiatives that advance enterprise data management and analytics capabilities