Data Operations Analyst

Entity: Finance Job Family Group: Finance Group Job Description: We are a global energy business involved in every aspect of the energy system. We are working towards delivering light, heat, and mobility to millions of people every day. We are one of the very few companies equipped to solve some of the big complex challenges that matter for the future. We have a real contribution to make to the world's ambition of a low-carbon future. Join us and be part of what we can accomplish together. About the Role: Create and maintain the master data not limited to material master, vendor master, customer master and pricing master to ensure that the 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 business function • 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 successfully • Ability to formulate and address problems • Ability to build positive relationships with business collaborators, technical teams and delivery teams • Solve 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 master data management 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 Will you 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 sophisticated problem or process into component parts using logical analysis techniques to reach a solution. Logically assesses relationships, grasps interdependencies, and reviews trends within a sophisticated problem or 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 new 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 ser