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    Master Data Officer - Bloemfontein, South Africa - Shoprite

    Shoprite
    Shoprite Bloemfontein, South Africa

    10 hours ago

    Default job background
    Permanent
    Description

    Purpose of the Job

    The role of the Master Data Officer is to be the first line support to the divisional offices, where the role is responsible to support with SAP data administrative services and ensuring that the butcheries can accurately process and transact information. The role will support the divisional offices with drawing of transacting reports for daily, weekly & monthly reporting purposes. A critical function of this role is to identify and flag any SAP data issues and ensure it adheres to all data governance processes.

    "Our Group and all its operating companies are committed to creating, embracing, and preserving a diverse workplace that values the unique talents, perspectives, backgrounds, and abilities that enrich our organisation. A place where everyone matters and feels included."

    Job Advert Details Job CategoryRetail Job Objectives

    Article Management:

  • Propose new articles on the B2B system and monitor their creation progress in alignment with established SLAs.
  • Ensure accurate assignment of articles to stores or distribution centers (DCs) to optimise

    • Data Quality Assurance:

  • Detect and correct data quality issues to uphold Shoprite's standards for consistency and reliability.
  • Flag and address any abnormalities in the data to maintain its integrity.

    • Duplicate Article Prevention and Stock Balance Monitoring:

  • Verify the absence of similar articles before listing to prevent duplications.
  • Monitor stock balances for reporting purposes, ensuring optimal stock levels as per business requirements.

    • Incident Management:

  • Log IT and data-related incidents using the Helix (ITSM) platform for timely resolution.
  • Identify and assist in resolving business data quality issues to minimise operational disruptions.

    • Communication and Reporting:

  • Report article-related issues to the Senior Master Data Officer and complete the Master Data Quality (MDQ) template for further action.
  • Extract and generate reports for Divisional Managers daily, weekly, and monthly to support decision-making processes.

    • Support and Governance:

  • Act as the first line of support for divisional offices, addressing support-related requirements promptly to facilitate smooth business transactions.
  • Provide support for data-related projects throughout their lifecycle, ensuring successful implementation and post-go-live support.

    • Data Governance and Best Practices:

  • Uphold data business governance and rules to support operational processes effectively.
  • Assist in communicating data quality requirements and guide stakeholders on data management practices to ensure adherence.

    • Continuous Improvement and Collaboration:

  • Identify root causes of quality non-conformance and assist in implementing best practices for data management.
  • Engage and collaborate with stakeholders to drive improvements and ensure alignment with business objectives. (WoW)
    • Qualifications
  • Grade 12 with relevant and demonstrable experience – (Essential)
  • Diploma or Degree in IT, Finance, or relevant – (essential)
  • +1 year in a Systems master data or similar role – (essential)
  • – (essential)
    • Experience
  • Relevant experience in a butchery / meat or similar environment combined with a knowledge of meat cuts, ranging and import regulatory requirements – (desirable)
  • Technical awareness, e.g., master data management, data management principles and practices – (Essential)
  • Working knowledge of data quality principles and root cause analysis – (Essential)
  • Knowledge of how to control data standards - (Essential)
  • Working knowledge of Microsoft Office 365 – Outlook, Word, Excel (essential
    • Knowledge and Skills
  • Supporting and Co-operating - Willingness to assist colleagues and collaborate across departments to ensure accurate and consistent master data management practices.
  • Interacting and Presenting - Ability to communicate effectively and present complex data concepts to various stakeholders clearly and understandably.
  • Analysing and Interpreting - Proficiency in analysing data sets, identifying trends, and interpreting insights to improve data quality and decision-making processes.
  • Creating and conceptualisin g - Capability to conceptualise innovative solutions for data management challenges and develop strategies to enhance data governance frameworks.
  • Organising and executin g - Strong organisational skills to structure and execute data management tasks efficiently, ensuring timely updates and maintenance of master data repositories.
  • Adapting and coping - Flexibility to adapt to changes in data management protocols, software systems, and organisational requirements while maintaining focus and composure.
  • Enterprise and performing - Understanding of the organisation's overall objectives and aligning data management practices to support business goals and performance metrics.
  • Multitasking - Ability to handle multiple data management projects simultaneously while prioritising tasks effectively to meet deadlines and objectives.
  • Conflict management and Negotiations - Proficiency in resolving conflicts related to data discrepancies or divergent interests among stakeholders through effective negotiation and mediation skills.
  • Effective Communication – Ability to communicate clearly and concisely, both verbally and in writing to convey complex data concepts and requirements to diverse audiences.
  • Organising and responding to change - Ability to proactively adapt data management strategies and processes in response to evolving business needs, technological advancements, and regulatory requirements.
  • Methodical, systematic, precise, meticulous attention to detail - Diligence and attention to detail in data entry, validation, and verification processes to maintain data accuracy and integrity.
  • Work independently and in teams - Ability to work autonomously when necessary while also collaborating effectively within cross-functional teams to achieve common objectives.
  • Interact effectively with stakeholders at all levels of the organisation - Establishing and maintaining productive relationships with stakeholders ranging from operational staff to senior management to ensure alignment and support for data management initiatives.
  • Business-area respect and the need to influence business decisions and gain business area commitments - Recognising the importance of data integrity in driving strategic decision-making processes and actively engaging with business units to promote data-driven insights and decision-making.
  • Thriving in a fast-paced, high-pressure environment - Ability to maintain focus, resilience, and adaptability to meet tight deadlines and deliver quality outcomes in a fast-paced, high-pressure work environment.
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