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You will be updated with latest job alerts via emailVisa is looking for a Financial Data Analyst to join the Center of Excellence (CoE) Data Analytics team in Global Revenue Operations. Global Revenue Operations is responsible for managing revenue operational activities in Visa. The CoE Data Analytics team supports these activities by developing and maintaining mining advanced analytics and reporting tools for revenue analysis and operational performance monitoring and developing tools that facilitate process automation. These tools help Visa analyze voluminous revenue and metric data for anomalies detect or prevent revenue leakage increase efficiency in revenue processes and/ or enhance management reporting and communication. The team also helps drive global standardization on revenue processes and facilitates regional collaborations on process improvements.
The Financial Data Analyst will participate in the review of business and data processes to increase the efficiency and effectiveness of Revenue Ops operations. Key responsibilities include:
Support the designing development and enhancement of deepmining analytics tools for revenue and revenue driver data to identify revenue opportunities and detect anomalies and errors
Develop enhance and maintain automation tools for revenue operational processes
Automate reporting and develop and maintain dashboards/visuals to communicate results
Transform and harmonize data across multiple data sources and formats
Maintain effective data operations for regular reporting and control processes
Prepare statistical reports for publication as well as adhoc analyses and reports as needed.
Develop strong partnerships to drive process and system efficiencies
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 23 set days a week (determined by leadership/site) with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications :
Bachelors degree in Finance Accountancy Business Analytics or equivalent with at least 3 years of work experience in a datadriven or analyticsdriven role
Experience in the usage of Python or R in datadriven analytics
Expertise in using advanced Microsoft Excel modules such as PowerQuery or VBA
Experience in productivity and collaboration tools such as Microsoft Teams and SharePoint
Excellent project and time management working as part of a Global team across multiple time zones
Selfstarter with the ability to work in a dynamic and evolving environment
Ability to effectively work independently and as part of a global team
Strong communication presentation and problemsolving skills with attention to detail and accuracy
Experienced in using SharePoint for Microsoft automated workflows and forms including PowerAutomate and PowerApps
Ability to articulate ideas clearly and concisely and present compelling arguments that demonstrate the value and feasibility of your proposals.
Visa is looking for a Financial Data Analyst to join the Center of Excellence (CoE) Data Analytics team in Global Revenue Operations. Global Revenue Operations is responsible for managing revenue operational activities in Visa. The CoE Data Analytics team supports these activities by developing and maintaining mining advanced analytics and reporting tools for revenue analysis and operational performance monitoring and developing tools that facilitate process automation. These tools help Visa analyze voluminous revenue and metric data for anomalies detect or prevent revenue leakage increase efficiency in revenue processes and/ or enhance management reporting and communication. The team also helps drive global standardization on revenue processes and facilitates regional collaborations on process improvements.
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Fulltime
Full-time