Global Category & Innovation Analytics Lead

1551 Coca-Cola Ltd.; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

The Coca-Cola Company in London seeks a Senior Manager to lead Global Category & Innovation Analytics Intelligence. You will drive analytics outcomes for global category strategies, annual business plans, and multi-year roadmaps, partnering with cross-functional teams to leverage AI and automation for scalable, insights-driven decisions.

You will collaborate with category teams to translate data into growth opportunities, benchmark analytics practices, and contribute to an innovation agenda

Qualifications

• Proven ability to create and deliver advanced analytics solutions that drive business outcomes.
• Data Storytelling: Ability to simplify complex data into actionable insights for diverse audiences.
• Technology Enabled Advanced Analytics: Proficiency in AI, agentic, and advanced analytics tools.
• Strategic Planning: Experience translating multi-year strategic plans into actionable and measurable deliverables.
• Category Analytics: Ability to analyze large datasets, identify trends, and translate raw data into meaningful insights for category growth.
• Change Management: Experience driving adoption of analytics tools and promoting data-driven decision-making.
• Financial Acumen: Understanding of financial metrics and P&L statements to assess the profitability and performance of categories and innovation efforts.
• Collaboration: Strong ability to work with cross-functional teams across functions and geographies.
• Experience 8+ years of FMCG analytics expertise, with experience in global or regional roles.
• Proven ability to deliver analytics outcomes in complex, matrixed organizations.
• Experience in both strategic and operational roles with a focus on measurable results.
• Education Bachelor’s degree required; Master’s degree preferred.

Responsibilities

• Analytics Creation and Delivery: Develop and deliver analytics solutions that support category performance reviews, quarterly deep-dives, annual business planning, and multi-year roadmaps.
• Create and maintain category performance reports, identifying trends, insights, and actionable recommendations.
• Collaborate with category teams to translate raw data into meaningful insights that drive category growth and innovation.
• Apply AI, automation, and advanced analytics capabilities to improve the speed, quality, and scalability of analytics delivery.
• Identify opportunities to automate recurring analytics, reporting, and insight-generation processes.
• Present analytics outcomes and strategic recommendations to category stakeholders, ensuring alignment with business goals.
• Partner with the Enterprise Intelligence team to integrate insights into brand strategies and identify opportunities for scaled productization and process improvements.
• Category Insights and Feedback: Evaluate existing analytics tools, platforms, AI capabilities, automation opportunities, and methodologies to identify areas for improvement.
• Monitor performance metrics and track the effectiveness of analytics solutions by measuring KPIs and user satisfaction.
• Benchmark current analytics solutions against industry best practices to identify gaps and opportunities for enhancement.
• Support Innovation Integration: Embed innovation trends, consumer insights, and competitive analysis into category analytics deliverables.
• Drive Analytics Adoption: Promote the use of analytics tools and technologies within category planning and execution processes.

Skills

Analytics Expertise

Data Storytelling

Advanced Analytics

Strategic Planning

Category Analytics

Change Management

Financial Acumen

Collaboration

Education

Bachelor's degree

Master's degree preferred

Job description

The Coca-Cola Company in London seeks a Senior Manager to lead Global Category & Innovation Analytics Intelligence. You will drive analytics outcomes for global category strategies, annual business plans, and multi-year roadmaps, partnering with cross-functional teams to leverage AI and automation for scalable, insights-driven decisions.

You will collaborate with category teams to translate data into growth opportunities, benchmark analytics practices, and contribute to an innovation agenda