Data & Insights Analyst

Visa•Austin, TX

1d•$93,500 - $145,400•Hybrid

About The Position

The Data & Insights Analyst develops and manages analytical products and reporting that provide visibility into performance across Visa’s Global Sourcing organization. The role serves as a strategic thought partner to sourcing and finance leaders, designing scalable analytics solutions, data products, visualizations, dashboards, and analytical models that support decision-making and deliver measurable business value. The analyst gathers, extracts, and transforms data from financial systems and creates accurate, actionable reporting for the global sourcing team. The role partners with category leaders, IT, Finance, and other stakeholders across global time zones to define data requirements, improve source-data quality, and build reusable data products and datasets. It also supports a data-driven culture by promoting data governance, best practices, stakeholder enablement, and effective use of analytics. This is a hybrid position based in Visa’s Austin, Texas office, with an expectation of working onsite three days per week. The role is not available for sponsorship at this time.

Requirements

At least 2 years of work experience with a Bachelor’s degree or an advanced degree.
Demonstrated success leading cross-functional initiatives and driving process or technology adoption at scale.
Strong project management skills, including prioritizing and delivering multiple high-impact projects in a fast-paced environment.
Experience with enterprise data warehouses, semantic models, star schemas, and curated analytics datasets.
Ability to translate business requirements into scalable data models.
Advanced proficiency in SQL and relational databases.
Deep expertise in data visualization platforms such as Power BI, Tableau, or Looker.
Ability to learn and adapt quickly to tools, technologies, and software platforms.
Excellent communication and executive presence, including the ability to synthesize information, make concise recommendations, and influence senior leaders.
Strategic thinking and an interest in using data to drive impact and create value.
Intellectual curiosity and ability to solve complex, ambiguous business problems using data.
Bachelor’s degree in a STEM or Finance field.
Hybrid work in the Austin, TX office, with an expectation of being onsite three days per week.
Ability to travel 5–10% of the time.

Nice To Haves

At least 3 years of work experience with a Bachelor’s degree, or more than 2 years with an advanced degree.
Advanced degree (Master’s, MBA, or equivalent) in Data Analytics or a related discipline.
Four or more years of progressive business analytics experience; six or more years preferred.
Experience supporting operations, finance, supply chain, sourcing, or related functions.
Python experience.
Experience with workflow automation tools such as Power Automate.
Experience with modern cloud data platforms such as Azure, Databricks, Snowflake, Microsoft Fabric, or equivalent.
Experience using GenAI tools such as Microsoft Copilot, ChatGPT, Claude, Cursor, or GitHub Copilot for analytics, automation, software development, or productivity.
Experience with financial datasets such as Ariba, expense, or General Ledger data.
Understanding of general ledger account and cost center structures.

Responsibilities

Design and maintain reusable data products, semantic models, and analytical datasets that enable self-service reporting and analytics.
Develop and deliver dashboards, reports, and analytical models to monitor KPIs, surface actionable insights, and support strategic decisions.
Deliver reporting and analysis that highlight trends, identify opportunities, and answer business questions.
Maintain and enhance existing dashboards, ensuring data accuracy and completeness, addressing user questions, and improving user experience.
Prepare ad hoc reporting and analysis for specific initiatives in collaboration with category leads and analysts.
Identify opportunities to automate reporting, analysis, and business processes using analytics, AI, and workflow automation technologies.
Partner with business leaders and stakeholders to identify opportunities, solve business problems, and translate objectives into analytics initiatives.
Work with IT and business stakeholders to define data requirements, ensure source-data availability and quality, and develop scalable, reusable data products and datasets.
Drive adoption of analytics solutions by gathering feedback, conducting enablement sessions, and continually improving user experience.
Develop data protocols and governance practices that promote accuracy and consistency.
Provide training to improve data consistency, awareness, and effective data use.