Data & Insights Analyst

Visa•Austin, TX

3d•$93,500 - $145,400•Hybrid

About The Position

As the Data & Insights Analyst, you will play a pivotal role in developing and managing analytical products and reporting that provide visibility into business performance across the Global Sourcing organization, while serving as a strategic thought partner to sourcing and finance leaders. You will drive the design and execution of scalable analytics solutions, data products, and reporting capabilities that influence organizational direction and deliver measurable business value. You will own the development of data visualizations, dashboards, and analytical solutions, enabling category leaders to quickly digest information, identify opportunities for improvement, and make decisions. You will gather, extract, and transform data from various financial systems, then develop compelling and accurate dashboards for the global sourcing team. In this role, you will partner cross-functionally with many organizations, including category leaders within the global sourcing team, the IT team that manages the enterprise application, and the Finance team that defines our financial data. As a member of the global team, your stakeholders and colleagues will be located across the globe in different time zones. Your expertise will be critical in fostering a data-driven culture, championing best practices in data governance, and elevating the quality and strategic use of data throughout the Global Sourcing organization.

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)
Demonstrated success in leading cross functional initiatives and driving process or technology adoption at scale.
Strong project management skills, with the ability to prioritize and deliver multiple high impact projects in a fast-paced environment.
Experience working 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 quickly learn and adapt to new tools, technologies, and software platforms.
Excellent communication and executive presence, with the ability to synthesize information, make concise recommendations, and influence senior leaders.
Strategic thinker with a passion for leveraging data to drive impact and create value.
Demonstrated intellectual curiosity and a passion for solving complex, ambiguous business problems through the effective use of data. Thrives in a fast-paced environment with a commitment to continuous learning, innovation, and improvement.

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)
Bachelor’s degree in a STEM/Finance field required. Advanced degree (Master’s, MBA, or equivalent) in Data Analytics or a related discipline strongly preferred.
4+ years of progressive experience in business analytics, with 6+ years preferred. Experience supporting operations, finance, supply chain, sourcing, or related functions is preferred.
Experience with Python is a plus.
Experience with workflow automation tools such as Power Automate is a plus.
Experience working with modern cloud data platforms such as Azure, Databricks, Snowflake, Microsoft Fabric, or equivalent technologies is a plus.
Experience leveraging GenAI tools (e.g., Microsoft Copilot, ChatGPT, Claude, Cursor, GitHub Copilot) to accelerate analytics, automation, software development, and business productivity.
Experience with financial datasets such as Ariba, expense, or General Ledger data. Understanding of general ledger account structure and cost center structure is highly desirable.

Responsibilities

Design and maintain reusable data products, semantic models, and analytical datasets that enable self-service reporting and analytics across the organization.
Design, develop and deliver sophisticated dashboards, reports, and analytical models that monitor key performance indicators (KPIs) and provide actionable insights and support strategic decision-making. Deliver reports and analyses that highlight trends, identify opportunities, and answer critical business questions.
Maintain and enhance the existing dashboard suite to ensure data accuracy and completeness, address user questions, and improve the user interface experience.
Prepare ad hoc reporting and analysis for specific initiatives, collaborating with category leads and analysts as needed.
Identify opportunities to automate reporting, analysis, and business processes using modern analytics, AI, and workflow automation technologies.
Partner with business leaders and stakeholders to identify opportunities, solve business problems, and translate objectives into actionable analytics initiatives.
Partner with IT and business stakeholders to define data requirements, ensure the availability and quality of source data, and develop scalable, reusable data products and datasets using sound data architecture principles to advance enterprise analytics capabilities.
Drive adoption of analytics solutions by partnering with stakeholders, gathering feedback, conducting enablement sessions, and continuously improving user experience.
Champion best data practices across the organization by developing protocols and governance to ensure data accuracy and consistency.
Proactively provide training to improve data consistency, awareness, and effective data usage across the organization.