Full time
Data Operations Analyst
India, Pune 2 days ago
Job category
Finance
Experience level
Intermediate
Relocation available
This role is eligible for relocation within country
Job type
Professionals
Travel required
No travel is expected with this role
Job code
RQ105054
At bp, we're reimagining energy for people and our planet. We have an ambitious ambition be a net zero company by 2050 or sooner, and help the world get to net zero. Creating a more efficient business that makes the best use of its resources is a critical part of getting there. And that's what our new global business services (GBS) centre in Pune, India is here to do - put digital at the heart of our business and accelerate the transformation of bp's business processes across the globe. Driven by the bp values and comprising capabilities in data, procurement, finance and customer service, the GBS centre will drive modern digital solutions and agile ways of working.
Key Accountabilities and challenges
Analyze and interpret sophisticated master data related to customer onboarding and ensure they are well maintained in appropriate system.
Ensure the accurate and timely delivery of addition, change and activation/ de-activation of master data records in accordance with request received and within dedicated timelines.
Develop and implement strategies for enhancing creation/ modification processes and financial operations, maximising digital automation where applicable.
Ensure consistency to internal control and compliance frameworks, including supporting internal and external audits.
Prepare and present accurate financial reporting, contributing to informed decision-making.
Collaborate with various collaborators to understand business needs and translate them into data-driven solutions.
Ensure data input is consistent with data integrity, data standards and meets the required level of completeness.
Identify and implement business improvements to improve efficiency and effectiveness across financial operations.
customer-centric thinking to optimize data solutions that support internal and external collaborators.
analytical thinking to resolve issues resolve data inconsistencies, and improve data quality.
Contribute to the development and implementation of digital automation initiatives within financial operations.
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