As a Master Data Management Analyst, you will create and maintain data according to business rules, governance standards and policy that will include all areas rolling up to the Master Data Team, Business Partner, Material and Customer elements. You are the data steward for your area and provide support to project teams and governance as we grow and evolve. Front end analysis is required to verify requests for consistency, completeness, and 100% accuracy upon entry. Assists in complex projects/research to define business systems requirements and recommend appropriate solutions. This position will play a support role in the Master Data Management team. This position requires experience and business knowledge in the definition and management of the different Business Partner types. These include customer (sold-to, bill-to, ship-to, payer), vendor, employees, customer contacts, etc. A broad end-to end-understanding of different processes, and how applicable to partners, will be critical for guiding various teams on how to utilize and populate the diverse fields in the distinct business processes and analytical scenarios. Maintain knowledge and experience of SAP S4/HANA, Sales Force, Ariba, and Evolve. Be the Data Steward in your area and provide support to all teams. Measure adherence to defined service level agreements, key performance indicators, and data quality standards. Continue to look for and drive process improvements. Takes work direction from the Master Data Management Manager and Data Governance Business Partners. Highlight any areas where adherence is an issue, or new business rules, standards, or policy needs. Validate and syndicate changes to master data (Business Partner and Material) as approved by the business review process including but not limited to requests to create, change, extend, block/unblock, activate/deactivate, or otherwise modify master data. Perform data preparation, cleansing, analysis, and manipulation. Create, review, and maintain quality process documentation (Business process documents, process flows, policies and procedures, strategies, etc.) Prioritize effectively across operational needs and project work. Enable overall improvement of data quality and the protection of sensitive data through modifications to organization behavior policies and standards, principles, governance metrics, processes, related tools, and data.
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Job Type
Full-time
Career Level
Mid Level