Sr. Data & Insights Consultant

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

The Global Business Optimization team has a simple mission: we turn massive amounts of data into actionable insights that drive business value.  Our analytic consultants and data analysts work with Visa’s clients and staff to improve portfolio performance, program profitability and cardholder experiences.  By coupling in-depth analysis of cardholder behavior with Visa’s world-class products, digital offerings and marketing capabilities, we ensure our clients’ programs operate at their peak potential and that cardholders have seamless commerce experiences in both the physical and digital world. 

As part of the North America Insight Delivery team, the Sr. Consultant will help to deliver this vision to our issuing, acquiring and merchant partners.  In this role, you will use strong analytical and presentation skills, contextual business sense and a creative flair to solve real world business challenges for Visa’s clients.  The Sr. Consultant will support and strengthen the partnerships with these clients through custom analytics, opportunity identification, and optimization of approval rates.

Experience with utilizing big data is critical to the success of the role as is the ability to delivery robust automation and effective data visualization. Finding the adequate balance of priorities will be important to successfully manage BAU reporting activities in parallel with projects and new initiatives.  Innovation and a willingness to challenge traditional paradigms are also paramount to the success of the role.

Responsibilities:

This role derives analytic insights on client performance and helps to deliver findings from those analyses to external and internal stakeholders.  Prior to completing an analysis, this role will formulate and source the necessary datasets from internal tools and platforms, rendering insights in compelling presentations and visualizations. 

Specific activities may include:

• Create and present analytic deliverables to external Visa clients, colleagues in the analytics team, and other internal stakeholders with varying degrees of analytical and technical expertise.
• Get to an understanding of root problems, define analytical objectives, and formalize data requirements for various types of analyses.  
• Combine and analyze disparate data sources and derive insights in a Big Data environment, independently perform analysis to render robust, thoughtful results.  
• Proactively facilitate the overall analytic delivery strategy for the organization.  
• Compare client performance against industry best practices with a shrewd eye toward identifying performance and/or profitability improvement opportunity.  
• Develop presentations of complex data and content for clients in an accurate, understandable, and engaging manner.

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:

• 8 or more years of relevant work experience with a bachelor's degree or at least 5 years of experience with an Advanced Degree (e.g., Masters, MBA, JD, MD) or 2 years of work experience with a PhD.

Preferred Qualifications:

• 9 or more years of relevant work experience with a bachelor's degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD.  
• Experience visualizing data with tools like Tableau, advanced Tableau skills.  
• Visa experience or knowledge of the payments industry.  
• High level of proficiency manipulating data from a variety of sources - Big data skills Hadoop, Hive, Spark and/or SQL skills required.