Data Analytics Manager

Company Description

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

What it's all about: 

The Data Analytics Manager role for VFP (Visa Functions and Products) involves using data science, analytics and visualisation techniques to solve business problems for Visa's internal clients (e.g. Marketing, Product, Strategy, etc.). 

The manager develops analytics solutions to support support decision making, business development, enhances client profitability, between other areas. 

The manager uses internal and external data to create business insights through data visualisation, collaborate with internal partners, define and execute analytic plans, ensure timely project delivery, and promote new methodologies and best practices in data science.

Qualifications

What we’re after…

• Graduate/Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience
• Results oriented with strong analytical, consultative, and problem-solving skills, with demonstrated intellectual and analytical rigor
•  Hands-on experience with modern distributed systems, including both Hadoop/SQL and Apache Spark
• Hands-on experience with one or more data analytics/programming tools such as R/Python
• Experience in the application of predictive modelling and machine learning technique to business problems

Preferred Qualifications

• Experience working in payments industry (bank, credit reference agencies, Fintech) or management-consulting firm.
• Hands on experience on processing extremely large data sets. Knowledge of payment network transactional data is a plus
• Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
• Proven skills in translating analytics output to actionable recommendations and delivery
• Fluency in English

Additional Information

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.