Visa (NYSE: V) is a world leader in digital payments, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories. Our purpose is to uplift everyone, everywhere by being the best way to pay and be paid.

The Sr. Data Analyst will be responsible for leading the data analysis function end-to-end (from requirements to report/dashboard delivery) for the Reimage Work (RW) Portfolio Reporting Automation effort. This includes upfront requirements gathering, followed by detailed data analysis, identification of data sources, creating of Entity-Relationship Diagrams, as well as metrics calculations. In addition, this position will also liaison with the Enterprise Architect, as well as various teams involved (UX Design, Data Hub buildout, Analytics), and will interact with a wide range of stakeholders both within Technology and also with cross-functional teams (Transformation Office, Finance, Product, Legal, HR, and Regulatory). This position will report to the Sr. Director of Technology Strategic Initiatives. Responsibilities Lead all aspects of the Reimagine Work (RW) Portfolio Reporting Automation data analysis function. Lead problem solving sessions to develop analytical solutions which help product & technology leaders to make data driven decisions Lead reporting automation requirements gathering for report/dashboard automation Drive detailed data analysis including the identification of data sources and data elements, creating of Entity-Relationship Diagrams, as well as detailed metrics calculations Support other allied architecture and integration activities. Assist in developing documentation around system integration, data flows, data dictionary, user guides and best practices. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, evaluating our infrastructure for greater scalability, etc. Obtain data steward approvals for data access for various data sources, and help establish connectivity of data sources with the data warehouse and data lake Support the creation of UX wireframes as well as the actual reports and dashboards and perform appropriate quality checks to ensure accuracy Lead other ad-hoc business management initiatives as needed.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.

Travel Requirements: This position requires travel 5-10% of the time.

• 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD Preferred Qualifications
• 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
• The ideal candidate would demonstrate a blend of a data analysis / process improvement skillset, with a management consulting background, transformation program experience, and a bias for action.
• 7-10 years of work experience in the data management space, driving data analysis for complex, cross-functional programs, experience in financial / Banking, Management Consulting, and/or technology industries a plus but not required.
• Advanced working knowledge and experience in SQL and relational databases. Experience with MS-SQL & data virtualization technologies like Denodo would be plus.
• Excellent verbal, written, and presentation skills. In particular, a demonstrated ability to effectively communicate technical and business issues and/or solutions to multiple organizational levels internally and externally as needed.
• Solid analytical and problem-solving skills, ability to think strategically and drive decision making.
• Ability to work independently with strong time management and ability to execute on multiple concurrent deliverables
• Demonstrated ability to manage through influence, but without direct management authority.