TL;DR

Client Analytics Lead (AI): Developing and deploying data-driven solutions for media measurement, targeting, and insight generation with an accent on statistical modeling and marketing effectiveness. Focus on leading a mid-size team, managing client relationships, and leveraging advanced analytics to drive actionable business outcomes.

Location: Must be based in Cape Town or Johannesburg, South Africa

Company

A global leader in creative transformation, providing data solutions, media intelligence, and strategic counsel for world-class brands.

What you will do

  • Build, manage, and mentor a team of analysts to drive project delivery.
  • Lead advanced analytics engagements, including marketing mix modeling, attribution, and experimentation.
  • Translate client strategic visions into actionable analytics briefs and roadmaps.
  • Manage client-facing presentations, status reports, and stakeholder interactions.
  • Evaluate and implement new vendor technologies and AI-based analytics solutions.
  • Oversee data governance, quality assurance, and end-to-end data pipelines.

Requirements

  • Bachelor’s or advanced degree in Statistics, Economics, Business, Math, or related field.
  • 4 to 6 years of experience in analytics, with proven team management skills.
  • Hands-on proficiency in SQL, Python, or R for data extraction and transformation.
  • Strong background in statistical modeling, segmentation, and clustering methodologies.
  • Experience with data visualization tools like DOMO, Tableau, or PowerBI.
  • Expertise in media, advertising analytics, or agency-side environments.

Nice to have

  • Familiarity with digital advertising ecosystems and syndicated measurement tools (Nielsen, Kantar, etc.).
  • Experience with Bayesian and frequentist causality algorithms.
  • Exposure to low-code/no-code analytics platforms.

Culture & Benefits

  • Opportunity to work within a global network of leading brands.
  • Focus on continuous learning and professional development.
  • Collaborative environment involving cross-functional stakeholders.
  • Access to proprietary data tools and next-generation marketing platforms.