Fascinated by the future and captivated by technology?

Smart, driven and want to make a difference in the world?

You’ll fit right in.

Join a diverse team at Visa, where your individuality fits right in. We can provide the opportunity to shape the payments experience globally. Together, let’s transform the way the world pays.

Think you know us?

Our mission is to connect the world through the most innovative, reliable and secure digital payment network that enables individuals, businesses and economies to thrive.

Individuality fuels our brand and our global team – we’re proud that we are a talented team of 15,000 individuals with unique backgrounds, perspectives and experiences. Therefore, we understand that you are much more than your day job. We encourage quality of life outside of the office, whether it’s taking advantage of agile work schedules or our wellness programs, Visa respects and encourages meaningful work/life balance for everyone. In addition, we offer market leading salary and have a fantastic benefits offering.

So, if you’re not satisfied with the status quo, we can satisfy your desire to explore new territory, giving you the runway to really make an impact, whilst connecting you with teams around the world in a truly inclusive culture that celebrates our uniqueness.

If you think you could support Visa as a Data Analyst, Data Science Lab, we want to hear from you – together, let’s make Visa a great place to work.

What’s it all about?

The Data Analyst is a key member of the Data Science Lab in the Europe region.  As a Data Analyst, you will work with other team members to develop and implement analytics solutions with a focus on the development, growth, and measurement of both existing and future data products and solutions.

What we expect of you, day to day.

• Design, develop, and implement best in class analytic products and solutions
• Create and deliver powerful business-centric insights from data through visualization and storyboarding
• Collaborate with internal and external partners to fully understand business requirements and desired business outcomes
• Support product sales and go-to-market plans
• Perform quality assurance on data and deliverables
• Ensure all project documentation is up to date and all projects are reviewed per analytic plan
• Ensure project delivery within timelines and budget requirements
• Enhance existing analytic techniques by promoting new methodologies and best practices

What we’re after…

• Mid-Level experience in analytics, reporting, or data product development applying statistical solutions to business problems
• Strong business acumen with strong ability to solve business problems through data driven quantitative methodologies.  Experience in payment, retail banking, or retail merchant industries is preferred
• Deep understanding of data, market intelligence, and business intelligence tools and technologies
• Demonstrated ability to incorporate new techniques to solve business problems
• Experience in presenting ideas and analysis to stakeholders, including translating analytics output to actionable recommendations, with the ability to tailor data driven results to various audience levels

Technical Expertise

• Strong SQL skills.
• Detail oriented - expected to ensure highest level of quality/rigour in reports & data analysis.
• Ensure the usage of the correct analytic measures and metrics to solve the business problem.
• Excellent understanding of data marts, data relationship concepts and data processing.
• Proficiency in analytic and business intelligence tools, e.g. SAS, R, Python, SPSS, Tableau, Business Objects, MicroStrategy.
• Familiarity with Hadoop and Hbase/NoSQL.
• Knowledge of advanced data mining and statistical modeling: Predictive modeling techniques (e.g., binomial and multinomial regression, ANOVA); Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis); Decision Tree techniques (e.g., CART, CHAID)
• Hands on experience on processing extremely large data sets. Knowledge of payment network transactional data is a plus.
• Ability to solve business problems through data driven quantitative methodologies.
• Fluency in one or more additional European languages a benefit; Polish, French, German preferred.

Diversity & Inclusion

Universal acceptance for everyone, everywhere, is not only our brand promise, it’s the foundation of our company culture. We foster a feeling of connectedness in the workplace, support diversity of thought, culture and background, fight for important initiatives like Equal Pay and actively work to eliminate unconscious biases that hold us all back.

By leveraging the diverse backgrounds and perspectives of our worldwide teams, Visa is a better place to work and a better business partner to our clients.