Analyst, Business Intelligence

Visa•Austin, TX

1d•Onsite

About The Position

The Business Intelligence Analyst will support the delivery of data analysis, reporting, and analytical solutions for teams focused on operations and solutions in high-volume payment environments. In this role, you will develop and maintain dashboards, visualizations, and reporting that improve business visibility, operational effectiveness, and data-driven decision-making for internal stakeholders and clients. This is an individual contributor role responsible for helping align analytics, operational processes, and business objectives. You will 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. You will also help translate business needs into scalable reporting and analytical solutions that drive better operational outcomes. Working closely with data engineers, business stakeholders, and end users, you will 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. The ideal candidate brings experience in the payments industry, familiarity with operational metrics and reporting practices used in high-volume online transaction environments, and a strong analytical mindset. Knowledge of Payment Card Industry Data Security Standards (PCI DSS) is strongly preferred. Sponsorship / Immigration Support will not be available for this role (no H1B, OPT, CPT or F-1) USA work authorization is a pre requisite for this position.

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)
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

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)
Experience in the payments industry, including high-volume online transaction environments; knowledge of PCI DSS strongly preferred
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

Responsibilities

delivery of data analysis
reporting
analytical solutions for teams focused on operations and solutions in high-volume payment environments
develop and maintain dashboards, visualizations, and reporting that improve business visibility, operational effectiveness, and data-driven decision-making for internal stakeholders and clients
align analytics, operational processes, and business objectives
support the definition and tracking of key performance indicators
troubleshoot complex data quality and reporting issues
identify opportunities to improve efficiency through automation and AI-enabled tools
translate business needs into scalable reporting and analytical solutions that drive better operational outcomes
ensure the integrity of data feeds
promote sound data quality and reporting practices
deliver insights that support operational performance in a fast-paced payments environment