Company Description
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in 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 while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
Job Description
The professional will assist in the maintenance and rollout of the Deal Team's Data-Driven transformation project, with the main objective of implementing the ideal globally. This person will support the iDeal Global Rollout, aiding regional teams to integrate iDeal into their end-to-end deal-making process.
Responsibilities
- Assist in managing the iDeal global rollout project
- Help in creating and updating the iDeal user support platform
- Contribute ideas on how to apply AI in End-to-End Deal Making processes
- Assist in designing a better experience and journey to build the deal using iDeal
- Analyze data generated and gathered by iDeal
- Develop data-driven pre-approved deal frameworks
- Provide reporting and deal performance assessments by Geography, Vertical, Sales Orgs
- Document best practices and lessons learned
- Map external data (macroeconomic and market level)
- Day-to-day management of iDeal admin modules:
- Update drivers and parameters (e.g., actuals, acquiring fees, yields)
- Update Visa definitions and requirements (e.g., P&L breakouts, KPI calculations and thresholds)
- Manage user and entitlement (e.g., different profiles for users/admins)
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
Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or related field
At least 3 years of experience in data analysis and modeling
Strong communication and presentation skills
Ability to work independently and in a team environment
Curious and eager to learn new skills and technologies
Proficiency in data visualization tools (Power BI, Tableau)
Proficiency in Python, SQL, and data analysis tools
Knowledge of machine learning concepts and techniques (e.g., regression, classification, clustering, dimensionality reduction)
Fluent English
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.
Top Skills
What We Do
At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. As our products and technology have evolved with the world, Visa remains ubiquitous, reaching new customers in new and often invisible ways. We are at the center of this digital revolution with a network that connects people with over 80 million businesses all over the world. And Visa’s network is expanding, accelerating our growth. Our resilient business model, with its strong track record of success, will provide you with amazing opportunities to grow in your career, as well.
We are looking for people like YOU. Come join a people-centric company where you can invest in your career.
For more information, visit visa.com/about, visacorporate.tumblr.com and @VisaNews on Twitter.
Why Work With Us
Our employees are our company. Creating an inclusive and diverse workplace has been our key priority. With our purpose to “uplift everyone, everywhere” as our guide, we’re building an environment where diverse backgrounds and perspectives are celebrated and drive success inside our company and out in our communities.
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