Statistician-Data Analyst II

Worldpay • Cincinnati, OH

1d

About The Position

Are you ready to write your next chapter? Make your mark at one of the biggest names in payments. We’re looking for a Statistician-Data Analyst to join our ever evolving Fraudsight team and help us unleash the potential of every business. What you’ll own as the Statistician-Data Analyst 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. What you’ll bring 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. About the team To learn more about our winning teams, check out our world-class teams that own it every day. What makes a Worldpayer What makes a Worldpayer? It’s simple: Think, Act, Win. We stay curious, always asking the right questions and finding creative solutions to simplify the complex. We’re dynamic, every Worldpayer is empowered to make the right decisions for their customers. And we’re determined, always staying open and winning and failing as one. Does this sound like you? Then you sound like a Worldpayer. Apply now to write the next chapter in your career. EEOC Statement 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, and other protected characteristics. The EEO is the Law poster is available here. If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.

Requirements

• 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

Nice To Haves

• Experience with R

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level