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. The Account Receivable Analyst is accountable for timely and accurate recording of cash receipts, direct debit run and match invoices into the AR ledgers. The main responsibility is to post cash to outstanding invoices and undertake the reconciliation of a variety of currency account reconciliations, added to several specific accounting tasks from simple to medium transactions. Acting as support to the collections team, to ensure customer accounts are monitored are tightly controlled and compliant to BP Policy. This includes regular contact with internal / external collaborators in order to reach yearly goals / targets. Prepare documents for period close while ensuring adherence to policies and procedures in the drive for exceptional customer service, operational excellence and compliance Build up and maintain professional relationship with Business Partners. 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 • Articulate key outcomes and accountabilities that this person will deliver to be successful in this role. Ensure you describe the work the results you want the job holder to deliver and not the process you expect them to apply to get to these outcomes • 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,