Data & Insights Analyst

Company Description

As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.

At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.

You're an Individual. We're the team for you. Together, let's transform the way the world pays.

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 NA Insight Delivery team, the Analyst will help to deliver this vision to the clients of Visa DPS in North America.  In this role, you will use strong analytical skills, contextual business sense and a creative flair to solve real world business challenges for Visa issuing banks. 

Robust automation, effective visualization, and both experience and understanding of how to utilize big data environments is critical. The ability to manage BAU reporting activities in parallel with projects and new initiatives having the adequate setting and balance of priorities is essential to the success of the role.  Innovation and a willingness to challenge traditional paradigms are important to the success of the role.

Responsibilities

This role derives analytic insights into client performance and helps to deliver those findings 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 Global Business Optimization team, and other internal stakeholders with varying degrees of analytical and technical expertise
• Gain 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
• 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:

• 2 years of work experience with a Bachelors Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)
• High level of proficiency manipulating data from a variety of sources - Big data skills (Hadoop, Hive, Spark) and/or SQL skills required
• Strong verbal, written, and interpersonal skills are required
• Must be proficient in all MS Office applications with advanced Excel spreadsheet skills 

Preferred Qualifications:

• 3 or more years of work experience with a Bachelors Degree or m