Job
Description
Develop and maintain expertise in assigned master data domains to ensure data accuracy, consistency, and governance. Manage BAU activities, ensuring timely and efficient resolution of master data requests. Deliver MDM-related projects by collaborating with cross-functional teams and ensuring successful outcomes. Prepare, update, and maintain process documentation, including SOPs, workflows, SLT documents, and trackers. Identify opportunities for process improvement and implement solutions to enhance operational efficiency and accuracy. Manage and optimize Vendor Master, Customer Master, Material Master, Finance Master and other relevant master data domains. Leverage technical skills like LSMW, BDC, data forecasting, and reporting for data processing and analysis. Demonstrate expertise in tools like Winshuttle or Evolve for automation and data management. Provide training and knowledge sharing within the team to enhance skill sets and understanding of MDM processes. Analyze and resolve data discrepancies by working closely with relevant stakeholders. Monitor key performance indicators (KPIs) and ensure adherence to established SLAs and governance policies. Actively support system upgrades, migrations, and data cleansing initiatives. Problem-Solving and Root Cause Analysis: Ability to identify and resolve data-related issues and implement preventive measures. No job constraints. Planning and Decision Making: Level of responsibility for planning, organizing, implementing Operational Level: Day-to-day Execution, Following Defined Processes, Support Activities Tactical Level: Contributing to Planning, Developing Solutions Level and type of decision making Analysis of data, adherence to rules, collaboration with stakeholders, focus on problem-solving Direction provided to incumbent by Manager Align the incumbents work with organizational goals. Provide clear expectations and guidelines for project and operational tasks. Facilitate effective collaboration with stakeholders. Support the incumbents professional development through feedback and guidance. Impact and Scope: Describe the impact this job has in the areas of financial, safety, policy development, strategic planning, decision making and problem solving This Data Analyst plays a pivotal role in ensuring the integrity of critical business data, which has far-reaching positive consequences for financial performance, safety, policy effectiveness, strategic direction, informed decision-making, and efficient problem resolution across the organization. Describe the impact of errors The accuracy and integrity of the data managed by this profile are foundational to the smooth, efficient, and safe operation of the business. Errors in this domain can have a cascading effect, impacting nearly every aspect of the organization and leading to significant financial, operational, and reputational consequences. Key Internal and External Relationships: List key stakeholders Finance, Procurement, Supply Chain, MDM, Controls Governance, Auditing Team Qualifications Technical Knowledge, Skills and Abilities: Diploma / Any Degree / Post-Graduation Knowledge Skills Minimum 4 years of experience in one or two SAP Modules e.g., Vendor, Customer, Finance, Material SAP ERP knowledge Excel - Intermediate to Advanced level Ability to think logically and technically to reach answers Excellent data analytical skills Problem solving ability Added advantage: Advanced knowledge in QAD Or Qxtend. Added advantage: Experience with tools like Winshuttle, Evolve, or similar automation and data management tools. Familiarity with methodologies like Six Sigma, Lean Methods, or Process Excellence is preferred. Strong technical acumen in tools like LSMW, BDC, and reporting tools. Excellent problem-solving, analytical skills, and attention to detail. Ability to work both independently and collaboratively in a dynamic and fast-paced environment. Self-motivated, able to set own goals and manage own workload in order to achieve them
