Data Analytics Consultant

Visa

Visa is a global leader in payments technology, facilitating billions of transactions annually across over 200 countries. With a mission to provide secure and reliable payment solutions, Visa aims to enable the development of businesses and economies. The role of Data Analytics Consultant at Visa Consulting and Analytics (VCA) involves leveraging data to solve strategic challenges for clients, including financial institutions and merchants.

In this role you can expect to have the responsibilities:

• Promote innovative use of data analytics for client business challenges.
• Identify trends in client projects to guide data product development.
• Analyze customer spending patterns for improvement opportunities.
• Utilize predictive techniques to enhance client profitability.
• Support financially viable testing approaches for market optimization.
• Assist in defining product enhancements and new features.
• Collaborate with the Visa Data Science Lab to implement analytical solutions.
• Provide expertise in data science to leverage Visa’s unique datasets.

This role comes with the following benefits:

This role requires you to have:

• Proven experience in data science or analytics roles.
• Project leadership in delivering data-driven insights.
• Background in payments, retail banking, or merchant industries.
• Collaborative communication and ownership for delivery.
• Ability to tailor presentations for various audience levels.
• Strong consultative skills to build organizational relationships.
• Results-oriented with strong analytical and problem-solving skills.
• Understanding of profitability drivers and calculation.

You would benefit from having:

• Proficiency in SQL and Python or SAS.
• Knowledge of Agile methods and tools like JIRA.
• Experience with large, complex data sets.
• Capability in deploying machine learning algorithms.
• Ability to guide and inspire analytics performance.

Visa is an Equal Employment Opportunity Employer committed to diversity and inclusion, considering all qualified applicants without regard to race, color, religion, sex, or other protected statuses.