What We Need

Corpay is looking to hire a Data Analyst within data team. This position falls under our North American Fuel line of business and is located in Atlanta, GA. In this role, you will be working closely with cross functional stakeholders you will play a pivotal role in delivering on our mission. We are looking for a candidate with strong passion, knowledge and experience with discovering solutions hidden in large data sets, improving business outcomes and providing leadership teams with insights gained from data. The ideal candidate is adept at using large data sets to find opportunities for business model and process optimization and using models to test the effectiveness of different courses of action. The candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, Candidate is expected to have strong proficiency in SQL coding to manipulate the data, experience in reporting and analytics. Candidate are expected to have a proven ability to drive business results with their data - based insights and must be comfortable working with a wide range of data types and requests, including financial and non-financial data. 

How We Work

As a Data Scientist, you will be expected to work in an onsite environment. Corpay will set you up for success by providing:

•  Assigned workspace in Atlanta, GA
•  Company-issued equipment

Role Responsibilities

• Analyze customer behavior and segment performance to inform retention strategies
• Design and maintain dashboards to monitor churn, engagement, and CLV metrics
• Build and optimize SQL queries to extract and transform data from AWS-based sources
• Partner with business teams to identify key opportunities through data
• Communicate insights and recommendations through compelling visualizations
• Ensure data accuracy and consistency across reporting layers

Qualifications We Seek

• Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Data Analytics)
• 1–3 years of experience in a data analysis or business intelligence role
• Strong SQL skills and comfort working with large datasets
• Experience with Python for data analysis and reporting
• Exposure to AWS (e.g., S3, Athena, SageMaker)
• Experience with Alteryx  for workflow automation ( or other ETL tool);

Nice to Have

• Knowledge of experimentation frameworks and A/B testing.
• Hands-on experience with Power BI, Tableau, or similar tools.
• Master’s degree in a quantitative field (e.g., Statistics, Economics, Data Analytics).

   

   

   

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