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Master Data Expert

3 months ago

Minneapolis, Minnesota, United States The Zeiss Group Full time

About Us:

How many companies can say they've been in business for over 177 years?

Here at ZEISS, we certainly can As the pioneers of science, ZEISS handles the everchanging environments in a fast-paced world, meeting it with cutting edge of technologies and continuous advancements. ZEISS believes that innovation and technology are the key to a sustainable future and solutions for global change. We have a diverse range of portfolios throughout the ZEISS family in segments like, Industrial Quality & Research, Medical Technology, Consumer Markets and Semiconductor Manufacturing Technology. We are a global company with over 42,000 employees and have over 4,000 in the US and Canada alone Make a difference, come join the team

What's the role?

The Master Data Expert carries out accounting clerical duties associated with a specific accounting function. Requires familiarity with basic clerical procedures. Bookkeeping for simple accounts payable und receivable transactions as well as balancing of accounts. Checks conditions of payment on incoming invoices. Adjusts master data following clear instructions. Reconciles balances, prepares simple customer correspondence (advice of payment, list of outstanding positions, statement of bank accounts). Supports the dunning process within the dunning tool.

Sound Interesting?

Here's what you'll do:

The Master Data Expert is responsible for overseeing the operational aspects of master data management within the organization. This role ensures the accuracy, consistency, and reliability of enterprise master data, particularly within SAP R/3 and S/4HANA systems. The Master Data Manager collaborates with various business units to develop data standards, governance policies, and to improve overall data quality. By integrating master data initiatives with the company's digital transformation goals, this role contributes significantly to operational efficiency and data-driven decision-making.

  • Support Master Data Management Strategy: Assist in the execution of the master data management strategy, ensuring alignment with the organization's business objectives and digital transformation goals.
  • Drive Data Standards and Governance: Help in the development and enforcement of master data standards, processes, and governance models to maintain data integrity across all business units and systems.
  • Facilitate Data Quality Reviews: Participate in regular data quality reviews, helping to identify and implement corrective actions to improve data accuracy and reduce duplication and inconsistencies.
  • Collaborate on Technological Solutions: Work with IT and business stakeholders to design and support the implementation of technological solutions that enhance data quality, including automated monitoring and reporting tools.
  • Integrate Master Data Processes: Aid in ensuring the successful integration of master data processes with other business processes, such as supply chain, finance, and customer relationship management.
  • Continuous Improvement Initiatives: Contribute to continuous improvement initiatives related to master data, identifying opportunities to optimize data-related workflows and system functionalities.
  • Support Data Migration Projects: Assist in the planning and execution of data migration projects, ensuring adherence to data standards and quality benchmarks during system upgrades or transitions.
  • Point of Contact for Data Inquiries: Act as a point of contact for master data-related inquiries and issues, supporting resolution efforts and ensuring clear communication with stakeholders.
  • Documentation and Training: Help develop and maintain training programs and documentation to improve master data literacy within the organization, promoting a shared understanding of data governance principles and practices.
  • Monitor Industry Trends: Stay informed about industry trends and advancements in master data management, assisting in the evaluation and recommendation of new tools, techniques, and methodologies.
  • Measure Effectiveness of Initiatives: Support the establishment and tracking of key performance indicators (KPIs) to measure the effectiveness of master data initiatives, contributing to reports and data-driven recommendations for improvement.

Do you qualify?

Minimal Qualifications:

  • Bachelor's degree in business informatics, Information Technology, or a related technical field.
  • Or alternatively At least 5 years of relevant professional experience in SAP and master data management or a related role.
  • Basic understanding of SAP Material Master Data and related processes.
  • Familiarity with SAP data structures and system architecture.
  • Demonstrated ability to work collaboratively in a team environment.
  • Strong communication skills with the ability to explain data concepts to non-technical stakeholders.

Preferred Qualifications:

  • Additional training or certifications in data quality, SAP systems, or related disciplines.
  • Experience supporting digital transformation projects with a focus on data management.
  • Interest in emerging technologies and their application to data management and analytics.

Experience and Education Requirements:

  • A minimum of 2 years of experience in a master data management role or a closely related field, with some experience in SAP systems preferred.
  • A bachelor's degree in Information Technology, Computer Science, Engineering, or a related field.
  • Basic project management skills and experience in supporting data-related projects.
  • Relevant professional certifications or training in SAP, data governance, or project management are a plus.

We have amazing benefits to support you as an employee at ZEISS

  • Medical
  • Vision
  • Dental
  • 401k Matching
  • Employee Assistance Programs
  • Vacation and sick pay
  • The list goes on

ZEISS is an EEO/AA/M/F/Disabled Veteran Employer

Your ZEISS Recruiting Team:

Clara Cresswell

Zeiss provides Equal Employment Opportunity without unlawful regard to an Applicants race, color, religion, creed, sex, gender, marital status, age, national origin or ancestry, physical or mental disability, medical condition, military or veteran status, citizen status, sexual orientation, pregnancy (includes childbirth, breastfeeding or related medical condition), genetic predisposition, carrier status, gender expression or identity, including transgender identity, or any other class or characteristic protected by federal, state, or local law of the employee (or the people with whom the employee associates, including relatives and friends).