Data Operations Administrator

Job Description

About the role:

• Create and maintain master data not limited to material master, vendor master, customer master and pricing master to ensure that master data is kept up-to-date and in a consistent and organized manner.
• Complete assigned steps in the addition, change and deactivation processes for master data records.
• Apply the respective reporting tools to supervise data accuracy and synchronization across the various systems.
• Maintaining good relationships with different functions
• Ensure data input is consistent with the data standards and meets the required levels of completeness
• Run Data performance reports for the key quality measures of completeness, consistency, uniqueness, accuracy and participate on operations meetings on SLA agreements and benchmark measures
• Ability to work and collaborate within a virtual distributed team environment
• Ability to prioritize efficiently
• Ability to formulate and address problems
• Ability to build positive relationships with business collaborators, technical teams and delivery teams
• Take on data issues and resolve discrepancies in a timely manner.
• Process master data requests efficiently in line with Service Level Agreements (SLA) and Key Performance Indicators (benchmark).
• Identify and implement process and solution requirements for the MDM process.
• Data gathering, maintenance and reporting for the monitoring of benchmarks and trends in the master data management process.
• Working hours ANZ Shift [ 05:30 hrs – 02:30 hrs IST] to support Business Partners

What you will deliver:

• Data Operations – ensuring high quality information and data is maintained to support decision-making, business processes and digital services
• Collaborator Management - The systematic identification, analysis, management, monitoring and improvement of collaborators relationships in order to target and improve mutually conducive outcomes.
• Customer Support - Acting as a point of contact to support service users and customers reporting issues, requesting information, access, or other services.
• Operational Completion - Has a sound understanding of process and workflow streamlining, problem resolution and organizational change
• Risk Management - Identifies external and internal factors that impact risk and mitigation opportunities. Identifies potential new or emerging risks / threats and implements mitigation plans
• Change Management - Builds energy around a change using a detailed approach to transition from the present to the desired state
• Digital Fluency - Optimally uses digital mentorship, tools, methodologies, and security measures for operating as a digital business. Uses digital tools to collaborate, coordinate, plan and reflect on digital data
• Analytical Thinking - Systematically breaks down a problem or process into component parts using logical analysis techniques to reach a solution. Logically assesses relationships, grasps interdependencies, and reviews trends within a problem or a situation. Challenges assumptions and reliability of acquired information
• Decision Making – Makes decisions affecting both own tasks and those of others. Combines a variety of factors including commercial awareness, risk and financial expertise to make appropriate decisions and derive insights
• Innovation - Adapts existing processes, methods and ways of working to drive efficiency. Uses digital technologies to develop insights, projects and opportunities
• Influencing - Identifies areas of alliance and disagreement, evaluates options and potential outcomes.

Experience and qualifications:

• Fluent in English language with the ability to express any idea without hesitation, have good vocabulary and grammar; people understand you easily. Both your spoken and written skills are good.
• Bachelor’s degree or equivalent experience in management, Business, Finance, Accounting, or related field
• Consistent record in data administration or master data systems development with a good understanding of the principles of data conversion, consolidation and harmonization.
• Some experience in JDE & Salesforce or other SAP would be an advantage
• Previous experience in data structures or data management/administration.
• Previous experience in a compliance environment where standards must be delivered by systems, processes and people (e.g., a quality function) and experience of operational data requirements of sophisticated ERP systems.
• Shared service center experience.
• Good communications and interpersonal skills

You will work with:

1. Data Operations
2. Multi-functional team
3. Internal/ Business stakeholders