Global Growth Analytics & Value Architect

Global Payments; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Global Payments in London is seeking a Senior Analytics & Value Engineer to drive data-led commercial growth within the Enterprise Product Commercialisation team.

You will turn data into revenue opportunities, build customer value cases, and partner with Product and Sales to influence go-to-market strategies globally. The role requires strong analytics, communication skills, and experience with large datasets using SQL, Python, Tableau and Power BI.

Qualifications

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

Responsibilities

• Drive data-led Go-To-Market approach for Global Payments' products.
• Identify growth opportunities across the customer base using advanced analytics and segmentation.
• Build customer value cases quantifying commercial impact to support sales conversations.
• Partner with Product and Sales to improve opportunity identification and conversion.
• Produce senior-level reporting and forecasting across the Enterprise Product portfolio.
• Present insights to senior leaders and influence growth initiatives.

Skills

SQL

Python

Tableau

Power BI

Analytical thinking

Stakeholder management

Education

Bachelor's degree in quantitative discipline

Tools

Tableau

Power BI

Python (pandas)

Job description

Global Payments in London is seeking a Senior Analytics & Value Engineer to drive data-led commercial growth within the Enterprise Product Commercialisation team.

You will turn data into revenue opportunities, build customer value cases, and partner with Product and Sales to influence go-to-market strategies globally. The role requires strong analytics, communication skills, and experience with large datasets using SQL, Python, Tableau and Power BI.