Data Analytics Manager

Global Payments Inc.

. Lead, develop and inspire a team of analytics professionals .

Posted 10/31/2026full-timeCincinnati • Ohio • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading analytics teams, developing customer-focused strategies, and translating complex insights into actionable recommendations. Proficient in advanced analytics techniques, including SQL and Python, with a strong emphasis on customer value optimization and engagement.

Highest-signal resume keywords

Analytics Team LeadershipSQL ProficiencyPython ProficiencyCustomer Value OptimizationPredictive Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Advanced AnalyticsPredictive ModelingSegmentationTest-and-Learn MethodologiesPerformance Measurement

Soft Skills

Coaching TalentBuilding Analytical CapabilitiesCollaborationDecision-MakingCuriosity

Tools & Technologies

SnowflakeSalesforce CRMAPIsModern Data Platforms

Industry Keywords

Payments IndustryFinancial ServicesCustomer EngagementRetention StrategiesSmall and Medium-Sized Businesses

Tech Stack

Tools & technologies

PythonSnowflakeSQL

About the role

Key responsibilities & impact

Lead, develop and inspire a team of analytics professionals
Set clear priorities, build capabilities and create a culture of collaboration, curiosity and accountability
Set the analytics strategy and roadmap for the existing customer portfolio
Focus analytics opportunities on customer value, product adoption, engagement, retention and revenue
Guide development of customer segmentation, predictive models, test-and-learn programs and optimization strategies
Serve as a senior analytics partner to business leaders
Translate commercial challenges into analytical priorities and complex insights into clear strategies and recommendations
Oversee the quality, scalability and effectiveness of analytical work
Direct the use of transactional and financial data, SQL- and Python-based analysis, automation and performance measurement
Create clarity for the team, empower decision-making and build strong partnerships across the business
Ensure analytics begins with customer and commercial needs and turn insight into action

Requirements

What you’ll need

Candidates must be legally authorized to work for any employer in the United States on a full-time basis without current or future immigration sponsorship
Proven experience leading and developing analytics teams, including setting priorities, managing performance, coaching talent and building analytical capabilities
Strong commercial analytics experience focused on customer value optimization, cross-selling, retention and engagement, ideally within payments, financial services or an SME environment
Track record of partnering with senior stakeholders to define business problems, shape analytical solutions and translate insights into measurable commercial outcomes
Strong understanding of advanced analytics, including SQL, Python, segmentation, predictive modeling and test-and-learn methodologies
Bachelor’s or master’s degree in Statistics, Mathematics, Computer Science, Engineering, Finance or a related discipline
Experience leading teams working with Snowflake, APIs and modern data platforms is a bonus
Experience integrating data and analytics solutions with Salesforce CRM is a bonus
Knowledge of the payments industry, small and medium-sized businesses, and existing-customer management strategies is a bonus
Entrepreneurial mindset and ability to work in a fast-paced environment across multiple priorities

Benefits

Comp & perks

Hybrid work arrangement
Equal opportunity employment
Reasonable accommodations during the hiring process and employment
Drug test requirement for U.S.-based hires following a conditional offer