Sr. Systems Analyst(Tableau, Python and SQL experience must)

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

The Senior Data Analyst will support the Anti-Money Laundering (AML) and Sanctions business by creating insightful visualizations to aid in the detection and prevention of financial crimes. The role requires a strong understanding of data analysis, data visualization tools and AML/sanctions regulations. The Senior Data Analyst will be responsible for interpreting complex data sets, developing insightful reports and collaborating with compliance, legal and risk teams to promote a culture of compliance and risk management across the organization.

We are seeking a highly skilled and experienced Senior Data Analyst to join Compliance Technology Operations (CTO) team which is part of the Global Ethics and Compliance organization.

Responsibilities:

• Designing and developing dashboards/reports that display key risk indicators related to AML and sanctions compliance including transaction volumes, flagged activities and customer risk scores
• Collaborate with compliance, legal and risk teams to ensure data-driven decision-making and partner with IT to integrate data visualization tools into existing compliance systems and databases
• Prepare and distribute periodic reports that provide updates on AML and sanctions compliance status including metrics on flagged transactions and investigated cases
• Perform data testing to validate data accuracy, consistency and reliability before utilizing it in visualizations and reports
• Support Enterprise Risk Assessment program by performing data collection activities from the source systems and enable risk assessment team to calculate the risk ratings
• Provide data and visualizations support in internal and external audits of AML and sanctions compliance programs
• Identify and address anomalies or irregularities in data that could impact AML & sanctions monitoring and present the data findings to stakeholders in a clear and concise manner
• Optimize and enhance existing visualizations for better performance and user experience

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 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Basic Qualifications
5+ years of relevant work experience with a Bachelor’s 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, OR 8+ years of relevant work experience.

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
•Bachelor's/Master’s Degree in Engineering, Economics, Statistics, Mathematics, or related technical discipline
•Minimum of 5 years of experience in data visualization and data analysis
•Proficiency in data visualization tools such as Tableau, Power BI or similar and programming languages such as Python, R and SQL
•Strong background in data analysis, visualization, and storytelling, with the ability to transform complex data sets into actionable insights and visually compelling narratives
•Excellent knowledge of database management, data extraction and data manipulation skills
•Excellent storytelling and presentation skills, with the ability to communicate complex data insights to non-technical audiences
•Ability to work independently and manage multiple projects simultaneously
•Open to work in a flexible schedule across different time zones

Preferred Skills:

Knowledge of UX/UI principles to enhance user interaction with data visualizations
Understanding of AML and sanctions regulations
Familiarity with data warehousing and ETL processes

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.