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

 Build scale replicate automate and drive efficiencies for faster delivery and output of dashboards designed by regions 
 Create and present analytic deliverables to external Visa clients regional 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 Work on projects across different regions simultaneously
 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

A minimum of 5 years of experience with an advanced degree or 3 years working in data engineering analysis and/or insight delivery with a proven record of creating business value using data
A 4year college degree in a quantitative field
High level of proficiency manipulating data from a variety of sources Big data skills Hadoop Hive Spark andor SQL skills required UnixShellPython scripting with exposure to scheduling tools like Oozie and Airflow required Machine learning skills is a plus
Experience visualizing data with tools like Tableau advanced Tableau skills are highly desired
Strong verbal written and interpersonal skills are required
Must be proficient in all MS Office applications with advanced Excel spreadsheet skills
Visa experience or knowledge of the payments industry is a plus

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.