Business Optimization Analyst (Data Analyst)

  • Singapore, Singapore
  • Full-time

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

Job Summary

The Global Business Optimization team has a simple mission: we turn massive amounts of data into actionable insights that drive business value.  Our analytic consultants and data analysts work with Visa’s clients and staff to improve portfolio performance, program profitability and cardholder experiences.  By coupling in-depth analysis of cardholder behavior with Visa’s world-class products, digital offerings and marketing capabilities, we ensure our clients’ programs operate at their peak potential and that cardholders have seamless commerce experiences in both the physical and digital world. 

As part of the Client Support Services (CSS) organization, the Business Optimization Analyst will help to deliver this vision to our clients.  In this role, you will use strong analytical skills, contextual business sense and a creative flair to solve real world business challenges for Visa issuing banks, acquirers and merchants.

Responsibilities

This role will support the creation of analytic insights about client performance and help deliver findings from those analyses to external and internal stakeholders.  Prior to completing an analysis, this role will formulate and source & curate the necessary datasets from internal tools and platforms. This role will lead the data asset development & enhancement for the regional teams to improve productivity and consistency of insights.

Specific activities may include:
• Providing analytical support to a combination of external Visa clients, colleagues in the analytics team, and other internal stakeholders with varying degrees of analytical and technical expertise
• Understanding the root problem, defining objectives and formalizing data requirements for various analyses
• Combining and analyzing disparate data sources and deriving insight in a Big Data environment
• Comparing client performance against industry best practices with a shrewd eye toward identifying performance and/or profitability improvement opportunity
• Assist in the presentation of complex data and content to clients in an accurate, understandable, and engaging manner

Qualifications

Qualifications
• A minimum of 5 years’ experience with 2 to 4 years of relevant experience in analytics/data science or related field
• A college degree in a quantitative field preferred
• High level of proficiency manipulating data from a variety of sources - Big data skills (Hadoop, Hive, Spark) and/or SQL skills required
• Experience visualizing data with tools like Tableau is a plus
• Advanced Tableau skills are highly desirable
• Strong verbal, written, and interpersonal skills are required
• Must be proficient in all MS Office applications with advanced Excel spreadsheet skills 
• Visa experience or knowledge of the payments industry is a plus

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