Finance Analyst
AI in this role
Use data, automation, and generative AI tools like Claude to improve finance processes and reporting at Visa.
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
Team Summary
Global Controllership is responsible for establishing Visa's global accounting policies, providing technical guidance to the business, processing accounting transactions globally and consolidating all Visa entities' financial results.
The Controllership Data and Process Excellence (CDPE) team improves how Controllership operates by solving finance process and control challenges through data, analytics, automation and Generative AI (GenAI). The team works across Controllership initiatives to identify issues, strengthen controls, simplify workflows and deliver scalable, measurable operational improvements.
What a Financial Analyst does at Visa:
CDPE is seeking a Financial Analyst who brings a problem-solving mindset and applies strong analytical skills to develop effective, actionable solutions. Responsibilities include investigating process issues, identifying anomalies and control gaps, and converting analysis into practical follow-up actions and measurable outcomes. The role will use data, analytics, automation and GenAI tools, including Claude, and will deploy these skills to on opportunities ranging from management reporting, anomaly identification, process automation and other operational improvement initiatives based on business priorities.
Essential Function:
Use Data, Reporting and Automation to Enable Solutions:
- Support the deployment of the finance data warehouse, performing testing and validation to ensure data is complete, accurate and fit for purpose
- Utilize existing and prospective data platforms to perform recurring data extraction and reporting accurately when required, while identifying opportunities to simplify or automate the work
- Build and maintain appropriate data, reporting or workflow automation solutions to reduce manual effort and improve reliability
- Document data sources, business rules, procedures and automation logic to support effective controls and continuity
Solve Finance Operations and Control Problems:
- Work with Controllership teams to understand operational pain points, process breakdowns, recurring exceptions and control risks
- Analyze data and process evidence to identify anomalies, root causes, control gaps and failure points
- Distinguish symptoms from underlying issues and frame clear problem statements for resolution
- Recommend practical corrective actions, preventive controls and process improvements
- Track actions, owners, dependencies and outcomes to confirm that identified issues are resolved and improvements are sustained
Convert Insights into Actions and Measurable Outcomes:
- Turn analysis into clear recommendations, prioritized follow-up actions and concise stakeholder updates
- Define success measures and track operational outcomes such as reduced cycle time, fewer errors, stronger controls or lower manual effort
- Coordinate with stakeholders to progress decisions, remove dependencies and close identified gaps
- Escalate unresolved risks, recurring failures and control concerns with clear supporting evidence
Apply GenAI to Analysis and Workflow Improvement:
- Comfortable with using approved GenAI tools, including Claude, to analyze structured and unstructured information, synthesize findings and accelerate problem solving
- Translate finance use cases into effective prompts, decision logic, workflows and expected outputs
- Prototype and support GenAI-enabled solutions that automate analysis, decisions, follow-up activities or operational workflows
- Validate GenAI outputs for accuracy, relevance, consistency, usability and control considerations before business use
- Document solution logic, assumptions, controls and improvement opportunities to support responsible adoption and continuity
Why this is important to Visa:
This role helps Controllership move from identifying issues to resolving them. By combining finance process knowledge with data, GenAI and automation, the Analyst will strengthen operational controls, reduce recurring failures and manual effort, and deliver improvements with clear and measurable business outcomes.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
To succeed in this role, you will need to have:
- A bachelor’s degree in Finance, Accounting, Business Analytics, Data Analytics, Information Systems, Computer Science or a related field, with 3-5 years of relevant experience
- Foundational knowledge of finance or accounting operations, processes and controls
- Strong problem-solving skills, with the ability to investigate anomalies, identify root causes and recognize control or process gaps
- Ability to convert analysis into practical recommendations, follow-up actions and measurable outcomes
- Hands-on comfort using GenAI tools, including Claude, to analyze information and support automation of decisions or workflows
- Ability to gather, document and communicate business, process and data requirements clearly
- Ability to manage changing priorities and contribute across multiple Controllership initiatives as a flexible utility player
- Ability to work effectively in a cross-functional and global team environment
- Strong analytical, communication and presentation skills, with close attention to accuracy and controls
- Strong intellectual curiosity and growth mindset, with a willingness to learn new technologies, explore emerging AI capabilities, ask thoughtful questions, and continuously improve processes and ways of working
What will also help:
- Experience in finance operations, continuous improvement and lean six sigma, controls, audit, issue management or root-cause analysis
- Experience using GenAI, prompt engineering, AI agents or AI-enabled workflows to solve business problems
- Experience with Python, Power BI, Power Query, Power Apps or other analysis, visualization and automation tools
- Exposure to data warehouse concepts, data modelling, data pipelines, source-to-target mapping or data quality testing
- Experience supporting user acceptance testing, process mapping, project documentation, change adoption or benefit tracking
- Awareness of finance data governance, access controls and responsible AI considerations
Projects you will be a part of:
The Analyst will contribute to a varied portfolio of Controllership initiatives across CDPE team. Assignments may include investigating recurring process or control failures, analyzing exceptions and anomalies, designing corrective actions, prototyping Claude-enabled workflows, automating manual activities, improving operational reporting, validating finance data and tracking whether implemented solutions deliver measurable outcomes. The mix of projects will evolve with Controllership priorities, requiring the Analyst to move effectively between different business problems and stakeholder groups.
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.
How we rate this
Finance Analyst at Visa rates 50 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you think about the risk of an AI system in this kind of role failing silently?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where process automation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, AI agents, AI Safety, Data Analysis, and Process Automation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.
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