Senior Decision Analytics Architect

  • Full-time
  • Job Family Group: Product 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.

Job Description

Position Summary
The Product Analyst is a key member of the Visa Analytics team. As a Product Analyst you will be responsible for developing Data Analytics solutions to solve complex business problems. Here, you will be required to work with large data sets using quantitative techniques and build complex statistical models that learn from big data. We have a highly collaborative process and you are required to work across multiple teams and functions for developing cutting edge, creative and advanced analytic solutions and processes.

The Product Analyst will be working together with other members in the team to design and deliver projects with the appropriate analytic methodologies and techniques to solve client's business objectives. The team closely collaborates with business stakeholders to understand the business problem in order to determine the most appropriate analytic approach that provides meaningful results to clients. Responsibilities include delivering projects on time and within scope with an in-depth knowledge of big data and cutting edge data mining techniques as well as the use of predictive, classification and alternate analytic algorithms for modeling and segmentation. These analyses are foundational to corroborate or refute stated hypotheses and are incorporated in the final client-facing solutions. The team is responsible for continuously creating and protecting analytic IP resulting from project learning

Visa Analytics team is a key part of decision management engine at Visa; this is a high-performing team of data scientists, data analysts, statisticians, and business analysts from a variety of countries – serving major FIs and merchants in Asia Pacific. Visa Analytics is looking for a hands-on person that earns trust and respect of the team. The person must be results oriented, highly organized, and must, must be focused on delivering innovative analytics work.

Responsibilities

  • Directing the execution of small to large analytic projects along with rest of the stakeholders in the Visa analytics team
  • Collaborating with the internal teams to fully understand business requirements and desired business outcome
  • Defining detailed analytic scope and methodology, and creating analytic plan
  • Executing on the analytic plan with appropriate data mining and analytic techniques
  • Performing QA on data and deliverables by analysts and own deliverables
  • Ensuring all project documentation is up to date and all projects are reviewed per analytic plan
  • Ensuring project delivery within timelines and budget requirements
  • Building on team's analytical skills and business knowledge Work as independent contributor mostly and as a team lead if needed by providing guidance to other team members where needed
  • Enhancing existing analytic techniques by promoting new methodology and best practices in analytics field
  • Providing subject matter expertise and quality assurance of complex data driven analytic projects

Qualifications

Technical

  • Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience preferred
  • Hands on experience with one or more data analytics/programming tools such as SAS/Hadoop/R/SQL/Python
  • Proficiency in some of the following statistical techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain Monte Carlo, Gibbs Sampling etc., Evolutionary Algorithms(e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks etc.
  • Working knowledge in advanced data mining and 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)
  • Demonstrated experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholders
  • Demonstrated ability to innovate solutions to solve business problems

Business

  • Results oriented with strong analytical and problem solving skills, with demonstrated intellectual and analytical rigor
  • Good 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
  • Understanding of Cards/Payments and Banking business model would be a plus
  • Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
  • Detailed oriented, is expected to ensure highest level of quality/rigor in reports & data analysis
  • Proven skills in translating analytics output to actionable recommendations, and delivery
  • Experience in presenting ideas and analysis to stakeholders
  • Exhibit intellectual curiosity and strive to continually learn


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.

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