About Visa 

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. CyberSource, a Visa company, has been and continues to be a pioneer within the e-Commerce Payment Management world. Our VisaNet network is capable of handling over 65,000 transaction messages 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.

Are you skilled at turning hard numbers into compelling stories and useful strategic insights? Do you solve complex data challenges with creative flair? Put those skills to work answering strategic questions for one of the world's most respected and innovative payments companies. 

Visa Consulting and Analytics (VCA) group works with internal business teams, our key Visa issuing banks, and top merchant clients to drive value from Visa's unique global data assets. Our analysts are critical members of the team that supports Visa's Global Solution organization, working closely with senior members of the Visa Consulting and Analytics team.

In this role, you will be responsible for helping to blueprint and deliver analytic projects that solve clients'  business objectives. You will get a chance to leverage your technical knowledge of big data and data mining techniques and hone your business acumen. Based on findings from data-driven analysis, you will draw fact-based insights and make actionable recommendations that reflect the client's business and context. This function is critical in building market-relevant client solutions and intellectual property for Visa.

The position will be based at Visa's Asia Pacific hub in Singapore.

Responsibilities 

• 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