Jobs
Benefits & Perks
•Professional development budget
•Comprehensive health, dental, and vision insurance
•Parental leave
•Team events and activities
•Generous paid time off and holidays
•401(k) matching
•Learning
•Healthcare
•Parental Leave
Required Skills
JavaScript
PostgreSQL
React
About Us
Help us enable everyone on the planet to gain access to the global economy by being the best way to pay and be paid.
Size: 10000+ employees
Industry: Technology, Fintech, Engineering, Information Technology
Company Description
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world.
Progress starts with you.
Job Description
The Client Services Analytics 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 Analytic Consultant 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 oversee the effective execution, oversight and impact measurement of IMD initiatives across the region. The role will provide dedicated ownership of program tracking and performance evaluation, allowing us to consistently measure progress against predefined IMD metrics. In addition, the role will also provide analytic insights on client performance and help to deliver findings from those analyses to external and internal stakeholders. Prior to completing an analysis, this role will formulate and source the necessary datasets from internal tools and platforms, rendering insights in compelling presentations and visualizations.
This individual contributor will be responsible for aligning data and insights across the various Visa Teams (CSS, VCA, Sales, Risk Etc.) to ensure single aligned message.
Specific activities may include:
- Create and present analytic deliverables to external Visa clients, colleagues in the analytics team, and other internal stakeholders with varying degrees of analytical and technical expertise.
- Get to an understanding of root problems, define analytical objectives and formalize data requirements for various types of analyses.
- Combine and analyze disparate data sources and derive insights in a Big Data environment.
- Proactively facilitate the overall analytic delivery strategy for the organization.
- Compare client performance against industry best practices with a shrewd eye toward identifying performance and/or profitability improvement opportunity.
- Develop presentations of complex data and content for clients in an accurate, understandable, and engaging manner.
- Accountable for identifying workable opportunity areas for issuers, merchants, acquirers and digital products, plus developing approach for tackling the opportunity.
- Partner with regional peers and other Visa functional areas to share information and develop approaches for addressing opportunities.
- Monitor and analyze results against defined key performance indicators to track financial impacts of implemented opportunities.
Email Address
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Stay abreast of Local, Regional, and Visa wide rule changes, products, services, industry and technology trends to be able to support Visa’s strategic goals and client initiatives.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications
- Basic Qualifications-2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)Preferred Qualifications-A minimum of 4 years' experience working with financial data analysis and insight delivery with a proven record of creating business value from data-Strategic and analytical thinking with a strong attention to detail that leverages multiple sources of information-4-year college degree in a quantitative field-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-Strong analytical skills, with demonstrated intellectual and analytical rigor-Must be proficient in all MS Office applications with advanced Excel spreadsheet skills-Visa experience or knowledge of the payments industry is a plus Other Fully Bilingual (English-Spanish)
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.
Client-provided location(s): Bella Vista, Dominican Republic
Job ID: 5edffcc4-b4eb-4d8a-bd53-303ede7e7b3c
Employment Type: OTHER
Posted: 2026-01-09T17:20:08
Apply on company site
Perks and Benefits
Health and Wellness
- Long-Term Disability
- HSA With Employer Contribution
- On-Site Gym
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Health Reimbursement Account
- Mental Health Benefits
- Virtual Fitness Classes
- HSA
Parental Benefits
- Fertility Benefits
- Family Support Resources
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Commuter Benefits Program
- Company Outings
- On-Site Cafeteria
- Holiday Events
- Happy Hours
- Casual Dress
Vacation and Time Off
- Paid Holidays
- Paid Vacation
- Volunteer Time Off
- Summer Fridays
- Leave of Absence
- Personal/Sick Days
Financial and Retirement
- 401(K)
- Relocation Assistance
- Performance Bonus
- Stock Purchase Program
- Company Equity
- 401(K) With Company Matching
- Financial Counseling
Professional Development
- Shadowing Opportunities
- Access to Online Courses
- Promote From Within
- Learning and Development Stipend
- Tuition Reimbursement
- Mentor Program
- Leadership Training Program
- Associate or Rotational Training Program
- Lunch and Learns
- Internship Program
- Professional Coaching
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)
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About Visa
Reviews
2.0
3 reviews
Work Life Balance
1.5
Compensation
2.0
Culture
1.2
Career
1.8
Management
1.3
10%
Recommend to a Friend
Pros
Active recruiting for senior positions
Work authorization support for spouses
Opportunity to seek external roles
Cons
Toxic work environment
Below-market compensation offers
Poor management and leadership
Salary Ranges
23 data points
Junior/L3
Mid/L4
Junior/L3 · Analyst
1 reports
$106,195
total / year
Base
$92,300
Stock
-
Bonus
-
$106,195
$106,195
Interview Experience
4 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Application Review
2
Online Assessment
3
Phone Screen
4
Technical Interview Rounds
5
Final Round Interview
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
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