Analyst, Business Intelligence at Visa

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Jul, 26

Salary

171800.0

Posted On

08 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Business Intelligence, Data Analysis, Tableau, Power BI, MicroStrategy, Data Visualization, KPI Tracking, Automation, AI-enabled Tools, Data Quality, Payments Industry, PCI DSS, Statistical Modeling, Data Mining, Reporting, Problem-solving

Industry

IT Services and IT Consulting

Description

Company Description Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world. Progress starts with you. Job Description 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. Qualifications Basic Qualifications: 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualification: 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 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; 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 Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this position is 110,700.00 to 171,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Job Family Group: Product and Design

Responsibilities

The Business Intelligence Analyst will develop and maintain dashboards, visualizations, and reporting to improve operational effectiveness and data-driven decision-making. They will also troubleshoot data quality issues and identify opportunities to improve efficiency through automation and AI-enabled tools.