Data Analyst

Job Overview

Data Analyst – Fraud sight team

• Use predictive modeling, statistics, trend analysis, and other data analysis techniques to identify and analyze relevant data from internal and external sources.
• Assist business analysts in discovering patterns and relationships within data sets.
• Determine and apply relevant quantitative methods to solve business challenges.
• Collaborate proactively and effectively with internal groups across the organization.
• Share knowledge and best practices with other members of the analytics team.
• Evaluate and enhance internal tools and processes for improved efficiency and effectiveness.
• Support projects including testing strategy development for marketing initiatives, product lifecycle decision support, product utilization analysis, and fraud detection.

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field; or an equivalent combination of education, training, and work experience.
• Strong skills in SQL and Python; experience with R is a plus.
• Proficient in working with large-scale business data sets.
• Strong understanding of internal business segments and stakeholder needs.
• Experience with relational database structures, research methods, and sampling techniques.

The Information Technology team keeps our Global Payments infrastructure up, running, and performing worldwide, from hardware to software and support services.

Worldpay is an equal‑opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, or other protected characteristics. The EEO is the Law poster is available here.