Senior Data Analyst

Global Payments Inc. • Cincinnati, OH

11d

About The Position

The Senior Data Analyst will join Global Payments’ Global SMB team and use advanced analytics to improve the value of the existing customer portfolio. The role focuses on customer value, product adoption, engagement, retention and revenue, using data-led commercial strategies and automated analytical workflows.

The analyst will work with transactional and financial data, assess internal and external data sources, and partner with Service and Relationship Management teams to understand customer journeys and improve conversion. The position is based in the company’s London hub and involves collaboration with teams and offices across the globe.

Requirements

• Proven commercial analytics experience focused on customer value optimization, cross-selling, retention and engagement.
• Advanced SQL and Python skills, including preparing complex datasets, building analytical models and automating workflows.
• Experience designing test-and-learn frameworks, measuring incremental impact and applying results to commercial decisions.
• Strong analytical and problem-solving skills, with a track record of translating complex data into measurable business outcomes and clear stakeholder recommendations.
• Bachelor’s or master’s degree in Statistics, Mathematics, Computer Science, Engineering, Finance or a related discipline.
• Must be legally authorized to work for any employer in the United States on a full-time basis without current or future immigration sponsorship.

Nice To Haves

• Experience in payments, financial services or an SME environment.
• Experience working with Snowflake and APIs.
• Experience integrating data solutions with Salesforce CRM.
• Knowledge of the payments industry, small and medium-sized businesses, and existing-customer management strategies.

Responsibilities

• Use advanced analytics to identify opportunities to increase customer value, product adoption, engagement and revenue across the existing customer portfolio.
• Design and implement customer segmentation, contact strategies, predictive models and test-and-learn programs for cross-selling, retention, dormancy reactivation and attrition reduction.
• Analyze transactional and financial data and evaluate internal and external data sources to improve propensity, dormancy and service-action models.
• Partner with Service and Relationship Management teams to understand customer journeys, improve conversion and turn insights into actionable commercial strategies.
• Develop automated Python- and SQL-based workflows for data preparation, modeling, campaign execution and ongoing performance measurement.
• Measure incremental impact through test-and-learn frameworks and use results to guide commercial decisions.

What This Job Offers

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