Analyst, Business Intelligence

Visa Visa · Fintech · Austin, TX

This role supports data analysis, reporting, and analytical solutions for operations and solutions in high-volume payment environments. The analyst will develop and maintain dashboards, visualizations, and reporting to improve business visibility and operational effectiveness. Responsibilities include defining and tracking KPIs, troubleshooting data quality issues, and identifying opportunities to improve efficiency through automation and AI-enabled tools. The role also involves translating business needs into scalable reporting and analytical solutions and ensuring data integrity and quality practices.

What you'd actually do

  1. develop and maintain dashboards, visualizations, and reporting that improve business visibility, operational effectiveness, and data-driven decision-making for internal stakeholders and clients.
  2. support the definition and tracking of key performance indicators, troubleshoot complex data quality and reporting issues, and identify opportunities to improve efficiency through automation and AI-enabled tools.
  3. help translate business needs into scalable reporting and analytical solutions that drive better operational outcomes.
  4. help ensure the integrity of data feeds, promote sound data quality and reporting practices, and deliver insights that support operational performance in a fast-paced payments environment.

Skills

Required

  • Experience in business intelligence, data analytics, reporting, or a related field
  • Experience with Tableau, Power BI, MicroStrategy, or similar business intelligence and visualization tools
  • Strong analytical and problem-solving skills with experience working across complex datasets
  • Experience supporting reporting, dashboarding, and KPI-based analysis
  • Experience leveraging automation and AI-enabled tools to improve efficiency, reduce manual processes, and support operational decision-making
  • Strong written and verbal communication skills, with the ability to work effectively with technical and non-technical stakeholders
  • Strong attention to detail and ability to manage competing priorities
  • Experience in the payments industry, including high-volume online transaction environments
  • Experience gathering requirements, understanding business problems, and translating them into analytical or reporting solutions
  • Experience with data profiling, data conversion, solution implementation, sensitive data handling, and troubleshooting
  • Experience identifying and implementing scalable automation solutions for recurring analytics or reporting processes
  • Familiarity with AI-enabled analytics tools and workflow solutions
  • Familiarity with Hadoop, Hive, Impala, or similar big data environments
  • Familiarity with statistical modeling or data mining techniques
  • Demonstrated ability to manage a defined workstream or small project independently
  • Team-oriented, collaborative, diplomatic, and flexible approach
  • Demonstrated intellectual curiosity and commitment to continuous learning

Nice to have

  • Knowledge of Payment Card Industry Data Security Standards (PCI DSS) is strongly preferred

What the JD emphasized

  • AI-enabled tools
  • AI-enabled analytics tools