VISA – Graduate Program, Data Analyst (posted on 09 March 2018)

Information Technology and Services
Position Type
Permanent (full-time)
Post Date
09 March 2018
Closing Date

Employer Description
Visa Inc. is a global payments technology company that connects consumers, businesses, financial institutions, and governments in more than 200 countries and territories to fast, secure and reliable electronic payments. We operate one of the world’s most advanced processing networks — VisaNet — that is capable of handling more than 65,000 transaction messages a second, with fraud protection for consumers and assured payment for merchants. Visa is not a bank and does not issue cards, extend credit or set rates and fees for consumers. Visa’s innovations, however, enable its financial institution customers to offer consumers more choices: pay now with debit, pay ahead with prepaid or pay later with credit products.

Program Details
  • Work with manager and clients to fully understand business requirements and desired business outcomes 
  • Assist in scoping and designing analytic projects and solutions. Contribute to brainstorming sessions. 
  • Execute analytic projects ranging from small to large either individually or as part of a project team 
  • Research industry metrics and business context and bring this context to bear in analyses 
  • Extract actionable business insights from the data and build deliverables that clearly communicate the findings and recommendations 
  • Ensure project delivery within timelines and budget requirements 
  • Perform other tasks on R&D, data governance, system infrastructure, analytics tool evaluation, and other cross team functions, on an as-needed basis 
  • Find opportunities to create and automate repeatable analyses or build self-service tools for business users
  • Perform other tasks on an as-needed basis
Education Background:
  • Bachelor’s degree in quantitative field such as Statistics, Mathematics Operational Research, Computer Science, Economics, etc.
  • Final year student or recent graduate looking to start work by May/June 2018
  • Post graduate degree with strong technical experiences strongly preferred
Technical skills: 
  • Good data understanding and analysis skills; should be a functional expert in database and data models
  • Experience with SQL for extracting and aggregating data 
  • Experience using Hadoop and the related query engines (Hive / Impala) is a plus 
  • Some proficiency with SAS including SAS macros and SAS/SQL is also highly desirable, or any other equivalent open source statistical package tools (e.g. R)  
  • Working knowledge or experience with data mining, statistical modeling and machine learning algorithms (e.g., regression modeling, clustering techniques, decision trees, etc.)  
  • Experience with data visualization and business intelligence tools like Tableau, Microstrategy, or other programs 
  • Experience programming in Python and Spark is a plus 
  • High level of competence in Excel and PowerPoint
Business skills and general qualities: 
  • Good business acumen to orient data analysis to business needs of clients 
  • Strategic thinker
  • Articulate communicator able to translate data and technical concepts for a business audience
  • Demonstrated intellectual and analytical rigor, strong attention to detail 
  • Team oriented, energetic, collaborative, diplomatic, and flexible style
  • Intellectually curious and continuously striving to learn

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