Sr. Financial Analyst

Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

Visa is looking for a Sr. Financial Analyst, Fixed Acquirer Network Fee (FANF) Program to join the Visa Global Operating Certificate team in Foster City, California. The Operating Certificates are reports filed by financial institutions on a quarterly/Monthly basis. Visa uses the reports to assess quarterly Service Fees and perform other industry metric analysis. The Operating Certificate team is responsible for assisting and training clients with the quarterly/monthly filing, analyzing submitted data, and resolving reporting errors. In addition, the team is responsible for billing process to assess quarterly and monthly service fees.

Essential Functions:

• Drive value for Visa using multiple data points to identify unusual anomalies among clients FANF reporting and answer critical questions for business teams
• Analyze US acquiring and merchant population to understand payment acceptance behavior that identify revenue leakage and incremental revenue opportunities
• Leverage big data and innovative data mining techniques, as well as modeling and segmentation using technology software, such as Hadoop, Python, R, and related query engines, to perform business and technical data analyses interpret large data and unusual anomalies within FANF reporting
• Develop high level deliverables based on data analytics and communicate results to a business audience
• Assist in scoping and designing FANF audit reviews and solutions, contribute to brainstorming sessions
• Execute FANF audit reviews ranging from small to large acquirers, merchants and processors either individually or as part of a project team.
• Extract actionable business insights from the data and build deliverables that clearly communicate the findings and recommendations.
• Research industry metrics and business context and bring this context to bear in analyses.
• Monitor opportunities to create and automate repeatable analyses or build self service tools for business users.
• Support Account Executives, Pricing Strategy and the Deal team on adhoc data analysis and requests
• Develop in depth knowledge of Visa core billing and reporting systems
• Analyze revenue data and prepare customer and product revenue reports for Management
• Support Revenue Project team and Financial Systems Strategy on Revenue Planning Analysis (RPA) initiative to replace the current reporting and billing system
• Effectively communicate with internal and external business partners and clients and provide value added trainings to Visa clients
• Advance Excel skills to confidently use Macros, VB tools to assist with various process automations and complex analyses, Comfortable using Hadoop, Python, R, and related query engines   
• Stay informed of general business and regulatory developments and their impact on the billing functions and Payment processing industry

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 2-3 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

Basic Qualifications
5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD

Preferred Qualifications
• 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD (e.g. Master in Computer Science, Mathematics, Engineering, Business, or related field)
• High attention to detail with ability to synthesize information from multiple sources for a variety of audiences including technology and business executives
• Solid analytical, problem solving,