Analytics Consultant

About Us
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

In your role as an Analytics Consultant, you will partner closely with customers to help them integrate data, adopt analytics solutions, and translate complex requirements into effective, realworld outcomes. This role sits within the Professional Services Analytics organization and blends technical depth, analytical rigor, and clientfacing consulting.

You will work on ambiguous, dataintensive problems that require creative problem solving, sound judgment, and the ability to move fluidly between highlevel context and deep technical detail. This role is well suited to a strong generalist who can quickly understand complex systems, pick up new concepts and tools, and dive deep when a problem demands it.

Success in this role comes from curiosity, adaptability, and the ability to break down unfamiliar problems, synthesize information across domains, and guide customers toward practical, wellreasoned solutions.

• Support the endtoend delivery of analytics, working with customers and internal teams to ensure successful outcomes
• Understand customer objectives and analytical requirements, identifying risks, constraints, or scope misalignment early
• Analyze large and complex datasets to assess data quality, uncover issues, and inform analytical decisions
• Guide customers through data readiness activities and help resolve common data challenges efficiently
• Develop a strong understanding of customer data structures and processes, translating needs and insights to internal teams
• Advise customers on effective use of analytics and datadriven solutions, adapting approaches as needs evolve
• Communicate analytical results clearly through concise reports, presentations, and visualizations
• Contribute to internal software, automation, or repeatable processes that improve analytics delivery and analytical performance
• Assess analytical results in live environments and drive continuous improvement

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

• 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)

• Several years of professional experience in analytics, datafocused consulting, or a related technical role

• Demonstrated, handson experience using Python and SQL in a professional environment, including writing, maintaining, and debugging code and developing effective queries to analyze data

• Proven experience working directly with customers or stakeholders to gather requirements and deliver outcomes

• Strong analytical and problemsolving skills, particularly when working with complex or ambiguous data

• Clear, confident written and verbal communication skills

• Familiarity with software engineering fundamentals, such as version control and working in Unix/Linux environments

• Ability to manage priorities and operate effectively in dynamic, projectbased environments

• Experience operating in client-facing or consulting environments, with the ability to influence technical and nontechnical stakeholders

• Experience working with largescale, realworld datasets, including imperfect or noisy data

• Ability to review complex codebases and propose architectural improvements that reduce complexity and support scalable, crossteam or crossregion use

• Handson experience developing, training, or applying machine learning or statistical models in practice

• Experience designing and implementing rulebased, statistical, or heuristic approaches to solve analytical problems where machine learning may not be appropriate

• Familiarity with eventdriven systems and distributed or stateful data processing architectures

• Experience with data pipelines, ETL processes, and cloudbased technologies

• Practical experience using modern AI or LLMbased tools to support analysis, automation, or decisionmaking

U.S. Applicants Only

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer