Analyst, GTM Strategy, Operations & AI Enablement; NA VAS

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.

Visa's North America Value Added Services (VAS) team is looking for a high-impact Analyst to act as an all-around athlete across analysis, sales operations, enablement, and automation. This is an dorer role, not a research role. You will sit at the intersection of data, storytelling, and execution - helping make complex work easier, faster, and more scalable for sales, GTM, and cross‑functional teams.

This role is ideal for someone 2-4 years out of school who is deeply curious, highly technical, action‑oriented, and excited about using AI, automation, and analytics to drive real business outcomes.

You will be expected to build, not just recommend: dashboards, materials, workflows, agents, analyses, and narratives that help teams move faster and make better decisions.

• Analyze sales, pipeline, revenue, and performance data to identify trends, gaps, and opportunities across NA VAS.
• Build repeatable, scalable analyses that inform GTM strategy, prioritization, and execution.
• Translate data into clear, compelling insights for sales leaders and senior stakeholders.
• Partner with Sales Ops, GTM, Product, and Enablement teams to ensure analysis is relevant, actionable, and trusted.

• Design and build AI-powered agents, automations, and workflows to eliminate manual work and improve efficiency.
• Leverage modern AI tools to support analysis, content creation, summarization, and knowledge management.
• Automate recurring reporting, intake processes, and operational workflows using available platforms and tools.
• Continuously identify opportunities where AI and automation can simplify work for other teams.

• Focus on reducing friction after the sale by improving how postsales intake, onboarding, and downstream processes work.
• Help define, document, and automate postsales intake flows, including required inputs, ownership, and next steps.
• Clarify and articulate handoffs between Sales, Product, Operations, Enablement, and Deliverys work moves forward without delays.
• Identify gaps, redundancies, or manual steps that slow activation and revenue realization - and design solutions to remove them.
• Build tooling, workflows, or AI-enabled support to guide sellers and teams through "what happens next."
• Develop dashboards and tracking to measure cycle times, bottlenecks, and progress from deal close to revenue.
• Partner with Sales Operations and Enablement to ensure sellers understand expectations, inputs, and implications of postsales processes.

• Partner with Marketing, Sales Operations, and Enablement to support B2B demand generation and digital sales lead processes end to end.
• Help define and document lead intake, routing, followup expectations, and seller workflows.
• Track lead process adherence and surface gaps, friction points, or breakdowns in execution.
• Support seller enablement by clarifying "what happens next" once leads are generated and how sellers should engage.
• Assist in developing reporting, dashboards, and recurring updates to monitor lead flow, usage, and outcomes.
• Identify opportunities to improve lead process efficiency and seller adoption through clearer process, training, tooling, or automation.

• Turn data, analysis, and complex ideas into clear stories that land with sales teams and senior leaders.
• Create polished materials (slides, one-pagers, dashboards) that are ready for executive audiences.
• Help shape the narrative of what's working, what's not, and what to do next.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

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

• 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)
• 2-4 years of experience in analytics, sales operations, strategy, consulting, or a similar role.
• Strong quantitative and analytical skills; comfort working with large, messy datasets.
• Experience building analyses using tools such as Excel, SQL, Tableau, Power BI, or similar.
• Strong proficiency with AI tools, automation platforms, and workflow…