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.

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, added bonus if you have experience with R.

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