About The Position

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.

Requirements

  • Bachelor’s degree preferred or equivalent experience with minimum 3-4 years related experience analyzing, validating, and posting data.
  • Passionate attitude toward data quality with strong attention to detail.
  • Ability to work in a fast-paced, multi-faceted, high transactional team environment.
  • Excellent written and verbal communication skills.
  • Ability to maintain confidentiality.
  • Experience with S/4 HANA for master data creation and maintenance required.
  • Ability to manage multiple priorities or projects, be organized and plan.
  • Ability to work independently and as a team player.
  • Ability to complete quality work within defined service targets in situations with tight turnarounds and deadlines.
  • Experience with Microsoft Office Suite, ServiceNow and ability to comfortably navigate multiple databases.
  • Continuous improvement mindset.
  • Ability to exercise independent judgement.
  • Capacity to consistently apply standard policies and procedures and support their creation.
  • Flexibility to provide support to multiple roles within data governance.

Nice To Haves

  • Prefer some experience and knowledge of departmental functions, terminology, and interrelationships for data types such as: Customer, Vendor, and Material.

Responsibilities

  • Create and maintain data according to business rules, governance standards and policy
  • Provide support to project teams and governance
  • Verify requests for consistency, completeness, and 100% accuracy upon entry
  • Assist in complex projects/research to define business systems requirements and recommend appropriate solutions
  • Define and manage different Business Partner types
  • Measure adherence to defined service level agreements, key performance indicators, and data quality standards
  • Drive process improvements
  • Validate and syndicate changes to master data
  • Perform data preparation, cleansing, analysis, and manipulation
  • Create, review, and maintain quality process documentation
  • Prioritize effectively across operational needs and project work
  • Enable overall improvement of data quality and the protection of sensitive data

Benefits

  • Health Insurance Benefits - Medical, Dental, Vision
  • Flexible Spending Accounts for Health and Dependent Care, and Health Reimbursement Accounts
  • Well-being programs including companywide events and a wellness incentive program
  • Paid Time Off
  • Financial Wellness – Industry leading 401(k) plan with generous company contributions, Financial Planning Services, Employee Stock purchase program, and Health Savings Accounts, Life and Accident insurance
  • Family-Friendly Employee events
  • Employee Assistance Program services – mental health and other concierge type services
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