Global Analytics Manager

Overview

In this role you drive delivery of advanced analytics and data science initiatives for global clients, aligning with scalable analytics capabilities across the network. You will work hands-on with analytics, strategy and client teams to turn data into actionable insights that support business growth and decision-making. You will develop reusable frameworks and contribute to AI-enabled analytics capabilities while collaborating across markets. This is a role that blends technical delivery with stakeholder leadership to standardise successful approaches and deliver measurable outcomes.

Pay / Benefits

• hybrid working in London (3 days/week in the office)
• competitive salary
• tailorable benefits package
• inclusive and diverse culture
• opportunities for professional development
• global collaboration

Responsibilities

• Lead analytics and data science project delivery for global clients
• Develop measurement frameworks, marketing effectiveness studies, experimentation programmes and optimisation approaches
• Translate analytical findings into clear, actionable recommendations
• Embed analytics into planning, performance management and investment decisions with client and internal teams
• Support stakeholders in applying analytical outputs to business challenges
• Develop reusable analytics frameworks, tools and methodologies reusable across client engagements
• Test and adopt AI-enabled analytics capabilities, including predictive modelling and automation
• Identify repeatable client challenges and opportunities for standardised approaches
• Collaborate with data, technology and engineering teams to scale analytics solutions
• Improve efficiency through automation and new technologies
• Collaborate with analytics, strategy, media and client teams to integrate analytics into decision-making
• Support global and local market teams in adopting analytics solutions
• Contribute analytics expertise to new business opportunities and client pitches
• Build strong stakeholder relationships to ensure practical business value
• Contribute to ongoing development of analytics, AI and data science capabilities
• Create and maintain best-practice frameworks, methodologies and documentation
• Share knowledge across the analytics community
• Stay informed on developments in analytics, measurement and AI and bring innovations to client work

Key requirements

• Experience in analytics, data science, insights or research within media, marketing or consulting
• Experience applying analytics techniques, modelling and emerging AI capabilities for business decisions
• Hands-on proficiency in Python and SQL
• Strong problem-solving with complex datasets and clear communication of findings
• Ability to translate technical analysis into clear recommendations for non-technical stakeholders
• Experience managing multiple projects and stakeholders in a fast-paced environment
• Collaborative mindset focused on delivering practical business outcomes
• Interest in emerging analytics, automation and AI technologies

• collaborative
• problem-solving
• clear communication
• Python
• SQL
• AI-enabled analytics

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