Job Description

Company Description
Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive. When you join Visa, you join a culture of purpose and belonging \xe2\x80\x93 where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world \xe2\x80\x93 helping unlock financial access to enable the future of money movement. Join Visa: A Network Working for Everyone.


The Global Data Office
With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa\xe2\x80\x99s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-related businesses and capabilities.
Led by Visa\xe2\x80\x99s first Chief Data Officer, the Global Data Office coordinates high-impact, complex, company-wide projects related to data business strategy, critical investments, policy development, and marketplace execution. Working closely with Visa\xe2\x80\x99s Chief Privacy Officer, the Technology organization, the wider data community, and the full set of Visa\xe2\x80\x99s global lines of business, the Global Data Office is evolving Visa\xe2\x80\x99s data-related work with momentum and enthusiasm. Driven by its commitment to trusted use of data, Visa is seeking enthusiastic leaders who are change-agents and passionate about the future of data around the world.
The Global Data Solutions team is part of the Global Data Office. To ensure that Visa\xe2\x80\x99s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. We support these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science, Data Engineering and various groups at Visa. To support our rapidly growing group we are looking for Data Scientists who are equally passionate about the opportunity to use Visa\xe2\x80\x99s rich data to tackle meaningful business problems. You will join one of the Data Science focus areas with an opportunity for rotation within the organization to gain broad exposure to Visa\xe2\x80\x99s business. The role will be based in Bengaluru, India.
Primary responsibilities

• Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems.
• Partner with key stakeholder/clients to understand the problem statement and convince them with data.
• Extract and understand data to form an opinion on how to best help our partners and derive relevant insights.
• Develop visualizations to make your complex analyses accessible to a broad audience.
• Find opportunities to craft solutions and products out of analyses that are suitable for multiple clients.
• Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business outcomes.
• Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications
Basic Qualifications:

Post-graduate degree or PhD in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics or Bachelors in fields such as Engineering, or equivalent.
Minimum of 4+ years of analytics expertise in applying analytical solutions to business problems
Proven skills in translating analytics output to actionable recommendations, and delivery of the same to key stakeholders
Experience with extracting and aggregating data from large data sets
Experience in understanding and analyzing data using statistical software (e.g., Python, R, SQL or others)
Competence in Excel, PowerPoint and BI tools such as Tableau, PowerBI etc.


Preferred Qualifications:

Experience in cards/payments, retail banking, or retail merchant industries
Experience in presenting ideas and analysis to stakeholders


Strategic and Functional Excellence

A professional capacity for strong enthusiasm and accountability
High attention to detail and quality
Highly adaptive, comfortable working within a complex environment.
Excellent written, verbal, and presentation communications skills appropriate for a wide, global audience.
Strong business acumen
Leadership and Stakeholder Management

Strong interpersonal skills to build credibility with team members and leaders across the function as well as the organization
Team-oriented, collaborative, and flexible, with proven ability to build strong working relationships with internal and external partners
Self-starter who can responsibly own and advance work, take well-informed decisions, without needless delays
Additional Information
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.