Data Analytics Manager

Global Payments Inc.•Cincinnati, OH

About The Position

The Data Analytics Manager, Portfolio Analytics will lead the analytics function for the existing customer portfolio within the Global SMB team. The role sets the analytics strategy and roadmap, focusing on opportunities to increase customer value, product adoption, engagement, retention and revenue. It leads and develops analytics professionals, establishes priorities and capabilities, and fosters a collaborative, curious and accountable team culture. The manager guides customer segmentation, predictive modeling, test-and-learn programs and optimization strategies for cross-selling, retention, dormancy reactivation and attrition reduction. As a senior analytics partner to business leaders, the role turns commercial challenges into analytical priorities and complex insights into clear strategies and recommendations. It oversees the quality, scalability and effectiveness of analytical work involving transactional and financial data, SQL- and Python-based analysis, automation and performance measurement. The role calls for an entrepreneurial mindset, comfort in a fast-paced environment and strong execution across multiple priorities. The people leader creates clarity, empowers team members, builds business partnerships and keeps analytics grounded in customer and commercial needs. Candidates must be legally authorized to work in the United States for any employer on a full-time basis without current or future immigration sponsorship.

Requirements

  • 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.
  • 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.
  • Ability to provide direction on technical approaches without personally executing every analysis.
  • Bachelor’s or master’s degree in Statistics, Mathematics, Computer Science, Engineering, Finance or a related discipline.
  • Legally authorized to work for any employer in the United States full-time without current or future immigration sponsorship.

Nice To Haves

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

Responsibilities

  • Lead, develop and inspire a team of analytics professionals by setting priorities, building capabilities and fostering collaboration, curiosity and accountability.
  • Set the analytics strategy and roadmap for the existing customer portfolio, focusing on customer value, product adoption, engagement, retention and revenue.
  • Guide the development of customer segmentation, predictive models, test-and-learn programs and optimization strategies for cross-selling, retention, dormancy reactivation and attrition reduction.
  • Partner with business leaders to translate commercial challenges into analytical priorities and turn complex insights into clear strategies and recommendations.
  • Oversee the quality, scalability and effectiveness of analytical work involving transactional and financial data, SQL- and Python-based analysis, automation and performance measurement.
  • Manage team performance, coach talent and build strong analytical capabilities.
  • Create clarity for the team, empower individuals to make decisions and build partnerships across the business.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service