Manager, Global BI&A

The Global Business Intelligence & Analytics (Global BI&A) team at Visa turns massive amounts of data into actionable insights that ensure seamless, secure commerce experiences across Visa's physical and digital ecosystem.

As a Manager, Global BI&A, you will develop global analytics insights and dashboards covering the entire payment lifecycle for CS & Risk client engagement, as well as internal decision support.

Key Responsibilities

• Create scaled global data solutions (dashboards & in-depth analysis) to enable CS & Risk Managers to have effective client engagements and improve their payment success holistically.
• Compare client performance against industry best practices and identify performance and/or profitability improvement opportunities.
• Create internal dashboards to track KPI for top global initiative, identifying clients with optimization and product adoption opportunities, and increase Visa product utilization.
• Be an expert at getting to the root of a problem, defining business objectives and formalizing data requirements.
• Cultivate cross-functional partnerships and serve as a strategic advisor to organizational leadership and peers.

Qualifications

• 5 years of work experience with a bachelor's degree in a quantitative field (e.g. Data Science, Mathematics, Statistics, Computer Science & Engineering or related degree), or 3 years of work experience with an Advanced degree (e.g., Masters in a quantitative field or MBA degree).
• Hands-on SQL and visualization (Tableau, Power BI) skills, and experience with AI-assisted tools (e.g., Vibe coding with Claude Code, Microsoft Copilot, or similar).
• Demonstrated ability to innovate solutions to solve business problems and excellent communication and cross-functional collaboration skills.

Preferred Qualifications

• 7 years of work experience with a bachelor's degree in a quantitative field (e.g. Data Science, Mathematics, Statistics, Computer Science & Engineering or related degree), or 5 years of work experience with an Advanced degree (e.g., Masters in a quantitative field or MBA degree).
• Working experience with automation and BI tools like Airflow, Github.
• Working familiarity with statistics modeling, python.
• Experience in payment, banking, or retail merchant industries.
• Domain expertise in Fraud Risk Management (prevention, detection, response).