Sr MDM Analyst

Responsibilities

• Combine data quality, data management, and data policy management into a methodology that ensures data assets are formally managed.
• Work with subject matter experts to establish policies addressing data quality, security, privacy, and retention of data assets.
• Provide guidance to data stewards on enacting established policies.
• Analyze and refine data governance policies based on feedback from the steward community.
• Support data governance initiatives across large-scale SAP transformation programs, including data readiness, cleansing, migration, and governance.
• Optimize business processes to enhance efficiency and reduce manual work through automation and modern data tools.
• Perform hands-on ETL activities for master data objects like Business Partner, Customer, Vendor, and Material.
• Create and execute data migration strategies, including cleansing rules, transformation logic, and cutover planning for SAP deployments.
• Create and maintain data quality dashboards, metrics, and reporting to support governance and decision-making.
• Develop and enforce data governance standards, policies, and procedures to ensure consistent, accurate, and reliable master data across the enterprise.
• Act as a Master Data Management SME on SAP project teams, supporting design decisions, testing cycles, and hypercare activities.
• Create and maintain functional specifications, mapping documents, data migration objects, and process documentation.

Qualifications

• 4+ years of SAP Master Data experience, including core objects such as Business Partner, Customer, Vendor, and Material.
• 4+ years of supporting large-scale SAP implementations, upgrades, or transformation programs.
• A Bachelor's degree in Information Technology, Finance, or a related field.
• Hands-on experience with Master Data ETL processes, including data extraction, cleansing, transformation logic, and load activities.
• Experience with data migration cycles, including mock loads, reconciliation, defect resolution, and cutover support.
• A strong understanding of data governance principles, data quality management, and master data lifecycle processes.
• Experience creating and maintaining reports and dashboards.
• Advanced proficiency with Microsoft Office tools, particularly Excel (e.g. formulas, pivot tables).
• Strong analytical, problem-solving, and data validation skills.
• Demonstrated ability to collaborate effectively with business and IT stakeholders at all levels.
• Curiosity about new technologies and an agile learning mindset.

Desired Skills

• Experience with Precisely Automate/Evolve or Winshuttle.
• Familiarity with data integration tools or platforms (e.g., SAP Data Services).
• Exposure to data validation, reconciliation automation, or basic scripting.
• Familiarity with emerging tools (including AI-assisted data analysis or automation).

Leadership Competencies

• Results Driven - Focuses on organizational growth, financial performance, and achieving results.
• Critical Decision Maker - Engages in thoughtful, data-driven decisions and draws appropriate conclusions from complex data.
• Customer Focused - Prioritizes customer needs and delights them.
• Teamwork & Collaboration - Builds rapport and collaborates effectively across the organization and fosters an environment of open and transparent communication.
• Integrity & Trust - Demonstrates honest, respectful, and trustworthy behaviors when engaging with stakeholders and achieves stated work obligations.
• Compelling Communication - Communicates effectively, clearly, and succinctly across all levels.
• Leadership Courage - Manages conflict towards mutual solutions, maintains composure during difficult situations, and channels emotions effectively.
• Strategic Orientation - Balances short-term goals with long-term organizational and functional strategic priorities.
• Innovative Thinking - Offers new, creative, and unconventional thoughts, opinions, and methods for solution generation and problem solving.
• People Leadership - Develops employees through coaching and feedback and holds team members accountable through modeling appropriate behavior.