Über
Worldpay is one of the biggest names in payments, seeking a Statistician-Data Analyst to join their Fraudsight team. The role involves using predictive modeling and data analysis techniques to identify and analyze data, assisting business analysts, and collaborating with internal groups to enhance tools and processes.
Responsibilities : • 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.
Qualifications : Required : • 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 understanding of internal business segments and stakeholder needs. • Experience with relational database structures, research methods, and sampling techniques. • Proficient in working with large-scale business data sets. • Strong skills in SQL and Python, added bonus if you have experience with R.
Company :
Worldpay is a global payment processing company offering secure, scalable solutions for online, in-store, and mobile transactions. Founded in 1971, the company is headquartered in Cincinnati, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
Sprachkenntnisse
- English
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