Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in 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 while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

The Data Analytics Manager role is a key member of the Interchange & Pricing Strategy (IPS) team helping the function promote and develop an insight driven culture, creative analytic solutions and best practices to support Visa’s pricing and interchange activities in Europe with a specific focus on compliance and legal related projects.

As the data analytics manager, you will work with colleagues from across the business to build complex models and visualizations to track performance and compliance, derive analytical insights and communicate findings to stakeholder and management.

Responsibilities & Duties:

• Promote the creative use of data science to solve business problems with internal and external clients.

• Identify how data science and predictive techniques can be used to enhance compliance monitoring, anomaly detection tools and processes.

• Continuously test, develop and present innovative ideas to improve current business practices within Visa.

• Extract and manipulate large datasets using advanced tools such as Hadoop Ecosystem through scripting in Python, Spark, SQL, etc.

• Lead projects related to Visa interchange compliance (including fee rebalances and adjustments) and regulatory monitoring & reporting activities such as formal Request for Information.

• Collaborate with business lines from across the organization to support litigation analytics initiatives and deliverables.

• Develop and maintain of KPIs/dashboards to support data-driven decision making and lead the provision of MI to internal and external stakeholders.

• Keep current with industry and client trends and maintain a working knowledge of Visa’s technical and data capabilities.

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.

• Graduate / Post-graduate in Quantitative field such as Statistics, Mathematics, Computer Science, Economics or Engineering.
• Strong analytical and problem-solving skills, with practical experience in financial or statistical modelling and quantitative analysis of large datasets.
• Ability to extract and manipulates large volumes of multifaceted data using SQL with experience of the Hadoop Ecosystem, including Hive and Impala with demonstrable programming ability in different languages (R and Python are essential).
• Demonstrable experience with interchange data and other Visa data / data platform preferred, but not required.
• Advanced Excel skills required – can demonstrate efficient application of mathematical concepts and programming to improve efficiency of modelling and reporting.
• Experience with visualization tools such as Tableau, PowerBI, MicroStrategy, etc.
• Team oriented, collaborative, diplomatic and flexible style, with the ability to tailor data driven results to various audience levels.
• Self-starter able to work unsupervised and efficiently whilst designing, implementing and documenting own processes to ensure high quality of work.
• Detailed oriented, expected to ensure highest level of quality / rigor in reports & data analysis.
• Exhibit intellectual curiosity and strive to continually learn.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.