Business Planning Intern - 2027, Austin, TX

Visa•Austin, TX

10d•$29 - $33•Hybrid

About The Position

Visa's Internship Program is a 12-week immersive experience that includes impactful projects, professional development workshops and learning sessions, opportunities to build connections and practical business skills, and social events. The program concludes with a presentation of project achievements and recommendations to Visa leaders. The Business Planning Intern will support the Demand Management function within Visa's Technology organization. The role provides hands-on experience with technology investments, hardware asset planning, financial analysis, and strategic decision-making. The intern will work with business and technology stakeholders on budgeting, reporting, data analysis, and technology planning in a global environment, gaining exposure to technology financial management, infrastructure planning, procurement, and data-driven business operations. The position is based in an office setting and requires at least three days in the office; the Hiring Manager will confirm the specific in-office days. Hours vary based on department needs, and travel is required 5–10% of the time. The estimated U.S. hourly pay range is $29–$33. Visa will not sponsor work visas for this position, and future sponsorship will not be considered.

Requirements

Currently pursuing a bachelor's or master's degree in Business Analytics, Finance, Economics, Information Systems, Information Science, Statistics, Business Administration, or a related field.
Expected graduation between December 2027 and August 2028.
Ability to communicate clearly and professionally, verbally and in writing.
Digital fluency, including the ability to work with emerging technologies such as Generative AI tools.

Nice To Haves

Experience with data analysis and reporting tools such as Excel, SQL, Power BI, Tableau, or similar technologies.
Interest in financial planning, budgeting, business operations, technology strategy, or business analytics.
Ability to analyze data, identify trends, and communicate findings through reports, dashboards, presentations, and recommendations.
Experience creating presentations and executive-ready materials for technical and non-technical audiences.
Strong attention to detail and organizational skills, with the ability to manage multiple priorities in a fast-paced environment.
Interest in how large-scale technology organizations manage investments, assets, procurement, and operational costs.
Familiarity with Generative AI tools such as Microsoft Copilot, ChatGPT, Google Gemini, Claude, or similar platforms.
Basic understanding of AI/ML concepts, Large Language Models (LLMs), prompt engineering, and emerging AI technologies.
Ability to use AI tools for research, data analysis, reporting, documentation, workflow automation, and productivity improvement.
Strong judgment when evaluating and validating AI-generated outputs for accuracy, quality, and business relevance.
Curiosity, learning agility, and enthusiasm for applying data-driven and AI-enabled approaches to business problems.

Responsibilities

Support technology and business teams with planning, budgeting, and execution of strategic initiatives.
Analyze data from multiple sources to create reports, dashboards, and business insights.
Assist with tracking technology assets, deployments, and inventory management.
Help evaluate technology demand requests and support business case development for infrastructure investments.
Partner with stakeholders to identify cost optimization and operational efficiency opportunities.
Contribute to budget forecasting, spend tracking, and financial reporting.
Support the creation of presentations and recommendations for technology and business leaders.
Participate in data analysis projects that inform purchasing and investment decisions.
Gain exposure to technology procurement processes and financial governance practices.
Work cross-functionally with engineering, product, finance, and business teams on strategic initiatives.
Use Generative AI tools such as Microsoft Copilot, ChatGPT, Claude, or similar platforms for research, analysis, and reporting.
Apply prompt engineering to summarize information, analyze data, and develop business insights.
Identify opportunities to improve workflows through AI-enabled automation and efficiency gains.
Assist with Generative AI initiatives supporting business planning, financial analysis, and operational reporting.