• Partner with well-known brands (retail, financial services, travel, apparel) to translate analysis into investment choices and measurable outcomes.
  
• Lead cross-functional teams that convert MMM insights into clear recommendations and practical roadmaps.
  
• Gain regular exposure to senior stakeholders, shaping strategy and budget allocation.
  
• Grow within a supportive, feedback-rich environment focused on mentoring and continuous learning.
  

• Own end-to-end delivery of complex, seven-figure analytics engagements; set direction, orchestrate teams, and build trusted, long-term client relationships.
  
• Diagnose business problems and frame the right analytical questions; design pragmatic approaches to unify and prepare data from multiple sources.
  
• Explain performance drivers in plain language and align findings with commercial objectives.
  
• Explore patterns and drivers in large datasets; run deep-dive investigations and evaluate models, dashboards, and data flows for robustness.
  
• Build forecasts and scenarios; craft both strategic and tactical recommendations grounded in market and business context.
  
• Tell compelling stories with data—adapt messages for different senior audiences and turn insights into specific actions.
  
• Guide change: define a vision, identify the issues that matter, and influence senior sponsors to adopt new ways of working.
  
• Coach colleagues across consulting and analytics to raise the bar on delivery quality.
  
• Manage scope, timelines, risks, and budgets to land work predictably while maintaining strong client satisfaction.
  
• Create project plans and playbooks (scope, milestones, risk mitigations) and run day-to-day execution using established project-management standards.
  

• Proven experience in analytics, strategy consulting, and/or marketing consulting, including direct client leadership.
  
• Strong quantitative toolkit with familiarity across marketing mix/econometrics, multi-touch attribution, customer segmentation, identity resolution, and/or predictive analytics.
  

• Degree or equivalent grounding in statistics, data, or analytics.
  
• Track record presenting to senior, non-technical audiences on marketing optimisation and analytics.
  
• Confidence building relationships with enterprise executives and influencing decisions.
  
• Excellent written and verbal communication across technical and commercial teams.
  
• High proficiency with Excel and presentation tools; comfort with modern analytics stacks is a plus.
  
• Ability to thrive in a fast-moving environment, prioritise effectively, and manage both your own workload and a small team.
  

Requirements