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

Visa’s Risk and Identity Solutions (RaIS) group delivers advanced fraud detection and prevention solutions, ensuring seamless, secure payment experiences. The Predictive Fraud Intelligence (PFI) team develops core AI/ML products within the Visa Protect suite, empowering clients to detect and prevent fraud throughout the payment lifecycle.

As fraud vectors have rapidly evolved, PFI has significantly expanded its product portfolio and reimagined its approach to building, deploying, and monitoring real-time, low-latency AI models. We seek a seasoned AI product Manager to drive platform capabilities and tooling, accelerating model development and supporting diverse client needs.

We are looking for Product Analysts who thrive at the intersection of data, product, and business. As a key member of the analytics function, you will partner with Product Managers, Engineers, and Business Teams to uncover insights that shape product strategy, enhance customer experience, and drive measurable business outcomes.

You will be hands-on with data — writing complex SQL queries, building BI dashboards, and automating reporting pipelines. You’ll analyze product performance, user behavior, and operational trends to identify opportunities for growth and efficiency. The ideal candidate combines strong analytical thinking with curiosity, attention to detail, and the ability to translate data into actionable insights that influence decision-making.

Responsibilities -

Business & Product Analysis

• Partner with Product Managers and business stakeholders to define key metrics, measure performance, and identify areas of improvement.

• Conduct deep-dive analyses on user behavior, product features, and business funnels to uncover growth opportunities or process inefficiencies.

Data Exploration & Insight Generation

• Write complex SQL queries and scripts to extract, clean, and transform large datasets from multiple sources.

• Analyze trends and provide actionable recommendations backed by data.

• Conduct exploratory analysis to identify product and business opportunities.

BI Solutions & Automation

• Build, maintain, and improve BI dashboards and reporting solutions (e.g., in Tableau, Power BI, or Looker) to support product and business teams.

• Automate recurring data workflows, reducing manual reporting and improving reliability.

• Ensure data accuracy, consistency, and trust in reporting across stakeholders.

Cross-Functional Collaboration

• Work closely with data engineering teams to improve data accessibility and pipeline reliability.

• Collaborate with business and operations teams to translate insights into action plans.

Communication and Storytelling

• Present analyses in a clear, compelling manner that influences product and business decisions.

• Educate business stakeholders on metrics, analytical methods, and data interpretation to foster data literacy.

• Serve as a thought partner to the product team, helping them shape hypotheses and validate outcomes through data.

What Success Looks Like

• You proactively uncover insights that shape product strategy and improve customer outcomes.

• You deliver scalable dashboards and automated reports that enable faster decision-making.

• You help product and business teams become more data-driven and self-sufficient.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Qualifications

- 4–6 years of hands-on analytics experience in product, business, or data roles.

- Strong proficiency in SQL and familiarity with data manipulation in Python or spark is a plus.

- Experience with data visualization and BI tools such as Tableau, Looker, etc.

- Experience working with big data technologies (e.g., BigQuery, Snowflake, Hive, Spark) .

- Strong analytical thinking, problem-solving ability, and attention to detail.

- Excellent communication and storytelling skills — ability to translate data into actionable insights.

- Bachelor’s or Master’s degree in a quantitative field such as Engineering, Statistics, Economics, Mathematics, or Computer Science.

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.