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Sobre esta vaga de Senior Analytics & Value Engineer na Global Payments

Global Payments · Presencial · LONDON, , UNITED KINGDOM

Ready to take your career global?


Make your mark at one of the biggest names in payments. We're looking for a Senior Analytics & Value Engineer to join our ever evolving Enterprise Product Commercialisation team and help shape the future of global commerce.


What you’ll own

In this role, you will sit at the forefront of Global Payment's product-led growth strategy, turning data into commercial outcomes. You will help shape how Global Payments identifies growth opportunities, quantifies value for customers, and enables sales teams to win more business.


Working across Product, Sales, Strategy and Analytics, you will develop data-driven insights that uncover revenue opportunities, build compelling customer value cases, and influence go-to-market strategies globally. This is a high-impact role for someone who enjoys combining analytical rigour with commercial problem solving to drive measurable growth.


Drive data-led Go-To-Market Approach

  • Develop data-backed recommendations to support Global Payment's global product go-to-market strategy and commercial priorities.
  • Identify growth opportunities across Global Payment's customer base using advanced analytics, segmentation techniques and behavioural insights.
  • Build customer value cases that clearly quantify the commercial impact of GP's solutions and support sales conversations.
  • Partner with Product and Sales teams to improve opportunity identification, prioritisation and conversion.

Influence strategic decision-making

  • Produce senior level reporting and performance analyses to support leadership decisions.
  • Build revenue forecasts and business cases across Global Payment's Enterprise Product portfolio.
  • Assess market dynamics, commercial performance and investment opportunities to guide strategic planning.
  • Present insights and recommendations to senior leaders, helping shape future product and growth initiatives.

What you’ll bring

  • Bachelor's degree in a quantitative discipline such as Economics, Finance, Mathematics, Statistics, Engineering, Data Science or a related field
  • Strong analytical and problem-solving skills, with the ability to turn complex data into clear commercial recommendations
  • Experience working with large datasets using tools such as SQL, Python, Tableau and Power BI
  • Excellent communication and stakeholder management skills, including experience presenting to senior audiences
  • Commercial curiosity and a passion for using data to drive business growth

About the team

Our inclusive and global teams win together every day. We’re proud to have the best minds in the industry, who you can learn from as you grow your career. The people, the energy, the connections – it’s unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.


What makes a Globalpayer?


Globalpayers think like a client, act like an owner and win as one team. We’re curious and innovative – always finding better ways to deliver impact. We empower each other to make decisions, and it’s our passion that drives excellence in everything we set out to do.


Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global.


#LI-AP1


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Sobre a Global Payments

At Global Payments (NYSE : GPN), we empower simple, fast, secure payments for everyone. And to do that, we’ve built a complete, worldwide commerce ecosystem that delivers software and services at scale to millions of companies around the world—from ambitious startups to global enterprises. Our team of 27,000 experts is dedicated to your success. Headquartered in Atlanta, Georgia, we're a Fortune 500® company and a member of the S&P 500 with worldwide reach spanning North America, Europe, Asia Pacific and Latin America. Wherever you are—or wherever you want to be—we’re there, ready to support you. For more information, visit company.globalpayments.com and follow Global Payments on X, LinkedIn

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