Data Analytics Manager

  • Full-time
  • Job Family Group: Sales and Business Development

Company Description

Common Purpose, Uncommon Opportunity. Everyone at Visa works with one goal in mind – making sure that Visa is the best way to pay and be paid, for everyone everywhere. This is our global vision and the common purpose that unites the entire Visa team. As a global payments technology company, tech is at the heart of what we do: Our VisaNet network processes over 13,000 transactions per second for people and businesses around the world, enabling them to use digital currency instead of cash and checks. We are also global advocates for financial inclusion, working with partners around the world to help those who lack access to financial services join the global economy. Visa's sponsorships, including the Olympics and FIFA™ World Cup, celebrate teamwork, diversity, and excellence throughout the world. If you have a passion to make a difference in the lives of people around the world, Visa offers an uncommon opportunity to build a strong, thriving career. Visa is fueled by our team of talented employees who continuously raise the bar on delivering the convenience and security of digital currency to people all over the world. Join our team and find out how Visa is everywhere you want to be.

The Visa Internship Program is the biggest step you can take to joining our Revolution of Payments Innovation. Throughout the 12 weeks at Visa, you will take on meaningful work, get executive exposure, engage in out-of-the-box problem solving, and participate in social and community service activities. From technology to business, we are looking for people who can innovate, collaborate and drive Visa into the next era of an already rapidly-evolving digital market place. If you’re up for the challenge, please consider joining our team.

You’re an Individual. We’re the team for you. Together, let’s transform the way the world pays.

Job Description

The ideal candidates are problem solvers, equipped with strong analytical & quantitative skills suited to address key strategic needs for Visa’s clients including issuers, acquirers and merchants.

Adept at creative and critical thinking, they are able to deconstruct problems and transform insights into large scale, state-of-the-art solutions. Candidates must be quick learners with a strong sense of personal responsibility.

Responsibilities

·         Work with large volumes of data; extract and manipulate large datasets using standard tools such as Hadoop Ecosystem, SAS, through scripting in Python, SQL,  etc.

·         Hands-on skills in cleaning, manipulating, analyzing, modeling and visualizing large data sets.

·         Develop and validate advance data mining tools, algorithms, and other capabilities to solve business problem.

·         Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

·         Transform data/ analysis to a business language

·         Continuously develop and present innovative ideas based on data driven approach in order to improve current business practices within Visa

·         Communicate and present key insights and data to key stakeholders across the organization

Qualifications

Qualifications

·         MS in engineering, computer science, statistics, or other related fields with 5+ years of experience required.

·         Excellent quantitative & analytical skills, including, database marketing and portfolio management, plus knowledge of analytical methodologies for optimizing and evaluating analytic solutions.

·         Experience Data Mining or Statistics (SAS, SAS E. Miner, SAS E. Guide), plus working knowledge of SQL, UNIX, R/Python, and Mainframe is preferred.

·         Ability to manage multiple projects efficiently and able to meet deadlines

·         Experience designing and building new tools. Ability to re-use existing experience to develop new production-ready solutions.

·         Quick-thinker, fast learner, wide general knowledge, problem solver

·         Team worker, responsible, delivery-oriented

·         Excellent spoken and written English and Spanish

Additional Information

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

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