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Director of Analytics
Visa Inc.
Miami, FL, United States
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Company Description
Visa Inc. is a global payments technologycompany that connects consumers, businesses, financial institutions and governments in more than 200 countries and territories, enabling them to use digital currency instead of cash and checks.
Visa Consulting and Analytics (VCA), the consulting arm of Visa, is a global team of industry experts in strategy, marketing, operations, risk and economics consulting, with decades of experience in the payments industry. Our VPS teams offers:
• Consulting services customized to the needs of Visa client’s business objectives and strategy
• Business and economic insights and perspectives that impact business and investment decisions
• Self-service digital solutions Visa clients can leverage to improve performance in product, marketing and operations
• Proven data-driven marketing strategies to increase clients’ ROI
• Job Description
VCA team is looking for an individual to join our consulting practice and play a role developing high impact projects for Visa. The ideal candidate is adept at using large data sets to address key strategic needs for Visa’s clients including issuers, acquirers and merchants. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights . Adept at creative and critical thinking, they are able to deconstruct problems and transform insights into large scale, state-of-the-art solutions. As a senior lead manager, you will be managing a team to perform complex algorithm development in the big data space for enhancing data driven solutioning and business strategies.
Responsibilities
• Lead a small team who can work with large and complex datasets to develop high quality analytic products and solutions to
promote growth and business development for the region.
• Manage multiple projects at a time from conception to completion with the help of junior team members
• Lead other tasks on R&D, data governance, system infrastructure, analytics tool evaluation,
• Help us staying at the forefront of technical advancement in data science and introducing cutting edge tools and techniques
for generating business insights
• Provide thought leadership in analytic techniques and business applications to unlock the value of Visa’s unique dataset
• Find opportunities to create and automate repeatable analyses or build streamlined solutions for business consultant and
Visa’s clients.
• Continuously develop and present innovative ideas based on data driven approach in order to improve current business practices within Visa.
Qualifications
Qualifications
• MS in engineering, computer science, statistics,applied mathematics or other related fields
• At least 10 years of experience in Banking,Retailers or payment system.
• Minimum of 7 years of experience of relevant work experience in data, analytics, and statistics
Business Skills
• Extensive experience applying analytics and creating innovative solutions to solve business problems
• Extensive experience in presenting ideas and analysis to various audience levels
• Good business acumen to orient data analysis to business needs of clients
• Strong written, verbal, and graphical communication skills.
• Ability to clearly communicate the meaning of analytical concepts, analyses and results
• Ability to execute multiple projects and tasks with competing priorities while meeting required deadlines.
• Quick-thinker, fast learner, wide general knowledge, problem solver
• Team worker, responsible, delivery-oriented
• Excellent spoken and written English. Spanish is a plus
Technical Skills
• Hands on experience with one or more data analytics/programming tools such as SAS/Hive/R/SQL/Python
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, clustering, decision tree, Gradient Boosting, Random forests, Support Vector Machine, Deep learning, etc.)
and experience with applications.
• Understanding of algorithms and ability to optimize various program complexities using suitable data structures.
• 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.
Additional Information
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.