Location
London

Hours
Full Time

Salary
Negotiable

About the Role
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. In this role, you will sit at the forefront of Global Payments' 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.

Key Responsibilities
- Drive data-led Go-To-Market Approach: Develop data-backed recommendations to support Global Payments' global product go-to-market strategy and commercial priorities.
- Identify growth opportunities across Global Payments' customer base using advanced analytics, segmentation techniques and behavioural insights.
- Build customer value cases that clearly quantify the commercial impact of Global Payments' 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 Payments' 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.

Experience
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.

About you
Commercial curiosity and a passion for using data to drive business growth. Ability to combine analytical rigour with commercial problem solving. Comfortable working collaboratively across multiple teams and influencing senior stakeholders.

Qualifications
A relevant bachelor's degree in a quantitative or analytical field is required. Additional certifications or training in data analytics, business intelligence or related areas would be advantageous but not essential.