Analyst, Business Strategy and Operations

Visa•Austin, TX

3h•Hybrid

About The Position

The Global Product organization delivers the holistic product strategy for Visa and accelerates the seamless delivery of our products to markets. We are at the core of Visa’s vision to be the best way to pay and be paid for everyone, everywhere, fueled by a diverse team that continuously raises the bar in delivering best-in-class products and services globally. The Business Operations team is accountable for enabling effective business operations and governance across the Product organization. We are seeking a team player and self-starter who enjoys solving problems and thrives on process optimization. The ideal candidate uses data and AI-driven analytics to generate insights and make sound recommendations, takes a consultative approach to influence stakeholders and drive cross-functional alignment, and is passionate about making a measurable impact on Visa’s growth and operational excellence.

Requirements

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

Nice To Haves

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)
Proven ability to deliver results with strong attention to detail, independent ownership of tasks, and a continuous improvement mindset.
2+ years of experience in roles involving business operations, program/project management, change management, or business strategy. Experience in management consulting (particularly with top-tier firms in payments/fintech) is a strong plus, demonstrating consultative problem-solving and analytical skills.
Proficiency with the Microsoft Power Platform (especially Power BI for data visualization and Power Automate for workflow automation) and advanced skills in MS Office (Excel, Word, PowerPoint) for analysis and communication of insights.
Experience in defining and implementing new processes or improving existing ones – including utilization of AI tools and automation techniques to streamline workflows and enhance efficiency. (Hands-on experience with generative AI or data science tools for business analytics and automation is a plus.)
Experience using GenAI tools such as Copilot, Perplexity, Figma Make, etc. and using AI tools to build chatbots and agents.
Effective presentation skills with the ability to identify trends and communicate data-driven insights to inform decision-making.
Excellent interpersonal and communication skills, with the proven ability to influence and guide cross-functional stakeholders at all levels through a consultative, peer-based approach.
Strong customer service orientation and relationship management skills; able to collaborate in a matrixed environment and build strong partnerships across product, technology, and finance teams.
Highly adaptable, self-motivated and results-driven, with the ability to ‘roll up your sleeves’ to manage multiple priorities in a fast-paced environment.
Solid organizational skills and a willingness to embrace agile product development and continuous learning practices.

Responsibilities

Strategic Problem Solving: Apply strong strategic-thinking and problem-solving skills to analyze complex business problems, structure and break them down analytically, and develop clear, data-driven recommendations for improvement.
Data-Driven Reporting & Insights: Maintain and continuously improve portfolio-level reporting and dashboards (e.g. in Power BI) to provide clear visibility into product portfolio health, key performance indicators (including OKR progress), and value delivery to stakeholders – thereby enabling data-driven decision-making by leadership.
Process Optimization & AI Enablement: Streamline and standardize processes for data gathering, reporting, and business reviews, identifying more efficient ways of working – including leveraging automation and AI tools to reduce manual effort, improve accuracy, and scale our operations (reflecting an AI-first mindset).
Data-Driven Operational Excellence: Support and improve product and data governance processes to ensure new initiatives meet required criteria (e.g. data hygiene, taxonomy standards) and maintain accurate data in systems (such as product catalogs and Jira Align). This includes executing quality and compliance checks for planning purposes, and implementing self-maintaining data cleanliness processes.
Stakeholder Engagement & Communication: Coordinate and contribute to critical business operations activities and events – such as quarterly business reviews (QBRs), product leadership collaboration workshops (Collab Weeks), leadership team forums, and town halls – by preparing high-quality presentations, data analyses, and talking points. Maintain internal communication channels and knowledge repositories (e.g. SharePoint sites) with up-to-date content (dashboards, reports, best practices) to facilitate transparency, knowledge sharing, and a unified understanding of business priorities across global product teams.