Analyst Data Science at Visa

Principal Responsibilities:

• Serve as an analytics expert in designing, developing, and implementing best in class analytic solutions.
• Create and deliver powerful insights from data through better visualization and storyboarding.
• Collaborate with internal and external partners to fully understand business requirements and desired business outcomes.
• Demonstrate execution proficiency in handing multiple medium-to-large analytics projects in a team environment that includes the rest of the Data Science team.
• Draft detailed scope for assigned projects, addressing suggested methodology and analytics plan.
• Execute on the analytics plan with appropriate data mining and analytical techniques.
• Perform quality assurance of data and deliverables for work performed by other Data Scientists and self.
• Ensure all project documentation is up to date and all projects are reviewed per analytics plan.
• Ensure project delivery within timelines and budget requirements.
• Build on team’s analytical skills and business knowledge.
• Enhance existing analytics techniques by promoting new methodologies and best practices in the Data Science field.
• Provide subject matter expertise and quality assurance of complex data-driven analytic projects.

Qualifications:

• Post-graduate degree (Masters or PhD would be an advantage) in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent.

Professional Experience:

• Minimum of 3-4 years of analytics expertise in applying statistical solutions to business problems
• Experience working in one or more of the Card Payments markets around the globe would be a distinct advantage.
• Good understanding of the Payments and Banking Industry including aspects such as consumer credit, consumer debit, prepaid, small business, commercial, co-branded and merchant payment solutions.
• Good knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies.
• Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams.
• Demonstrated ability to incorporate new techniques to solve business problems.
• Demonstrated resource planning and delivery skills.

Technical Expertise:

• Expertise in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)
• Ability to write scratch MapReduce jobs and fluency with Spark frameworks
• Familiarity with both common computing environments (e.g. Linux, Shell Scripting) and commonly-used IDE’s (Jupyter Notebooks); proficiency in SAS technologies and techniques
• Strong programming ability in different programming languages such as Python, R, Scala, Java, Matlab, C++, and SQL
• Familiarity with solution architecture frameworks that rely on API’s and microservices
• Familiarity with common data modeling approaches, and ability to work with various datatypes including JSON, XML, etc.
• Ability to build data pipelines (e.g. ETL, data preparation, data aggregation and analysis) using tools such as NiFi, Sqoop, Ab Initio; familiarity with data lineage processes and schema management tools such as Avro
• Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, etc.
• Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA); Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis); Decision Tree techniques (e.g., CART, CHAID)
• Deliver results within committed scope, timeline and budget
• Very strong project management skills and experience
• Ability to travel within the SSA and CEMEA Region.

Business Experience:

• Results-oriented with strong problem solving skills and demonstrated intellectual and analytical rigor
• Good business acumen with a trackrecord in solving business problems through data-driven quantitative methodologies.
• Experience in payment, retail banking, or retail merchant industries is preferred
• Team oriented, collaborative, diplomatic, and flexible style
• Very detailed oriented, is expected to ensure highest level of quality/rigor in reports and data analysis
• Proven skills in translating analytics output to actionable recommendations and delivery  
• Experience in presenting ideas and analysis to stakeholders whilst tailoring data-driven results to various audience levels

Leadership Competencies:

• Demonstrates integrity, maturity and a constructive approach to business challenges
• Role model for the organization in showcasing core Visa Values
• Respect for the Individuals at all levels in the workplace
• Strive for Excellence and extraordinary results
• Use sound insights and judgments to make informed decisions in line with business strategy and needs
• Leadership skills include an ability to allocate tasks and resources across multiple lines of businesses and geographies.
• Leadership extends to ability to influence senior management within and outside Analytics groups.
• Ability to successfully persuade/influence internal stakeholders for building best-in-class solutions.
• Team oriented, collaborative, diplomatic and flexible style.
• Exhibits intellectual curiosity and a desire for continuous learning.