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.

What you’ll do:

• Build lasting solutions to surface critical data and performance metrics
• Working with data engineers, you will design datasets and metrics to measure and optimize products
• Working with data engineering, you will support the build of the analytics layer of our team’s data environment to make data standardized and easily accessible
• Support the build of visual dashboards to track key metrics and enable self-service data discovery
• Contribute to the development of the Visa University and the wider analytics community at Visa

Who you are:

• You have at least 3-5 years of experience in a similar business intelligence, data analysis or data visualization role and a degree in science, computer science, statistics, economics, mathematics, or similar quantitative discipline.
• You have the technical expertise required for the role:
  • Very high level of expertise with Tableau desktop software (techniques such as LOD calculations, calculated fields, table calculations, and dashboard actions)
  • High level of ability in JSON, SQL
  • Experience with Python is a must
  • Experience with Excel (Vlookups, pivots, macros, etc.)
  • Experience with xAPI is a plus
  • Ability to leverage HR systems such as Workday, Salesforce etc., to execute the above responsibilities
• You are a novice in data visualization
• You have a strong business sense and you are able to translate business problems to data driven solutions with minimal oversight
• You are capable of tackling loosely defined problems with energy
• You are a communicative person who values building strong relationships with colleagues and stakeholders, enjoys mentoring and teaching others and you have the ability to explain complex topics in simple terms

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of Article 49 of the San Francisco Police Code.

All your information will be kept confidential according to EEO guidelines.