Head of Marketing Analytics & Data Science

StoneX Group Inc.; Cape Town; Hybrid; ZAR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

StoneX Group Inc. in Cape Town seeks an experienced Marketing Analytics leader to partner with the CMO and Marketing Leadership Team. You will transform data from paid media, owned channels, CRM and third-party signals into actionable insights that drive growth.

You'll define the analytics roadmap, establish measurement frameworks, and lead analytics and data science teams to deliver KPI-driven recommendations to senior stakeholders.

Qualifications

• 10+ years in Marketing Analytics or related roles.
• Experience translating marketing objectives into analytics programs.
• Proven leadership of analytics or data science teams and AI-driven optimization.

Responsibilities

• Define and own the Marketing Analytics roadmap and priorities.
• Establish measurement frameworks across channels, campaigns and segments.
• Define KPIs and reporting standards for Marketing, CRM and Lifecycle programs.
• Translate business questions into analytical specifications and requirements.
• Act as the primary Marketing liaison for Data, Engineering and AdTech teams.
• Present analytical findings and recommendations to senior stakeholders in clear, commercial terms.

Skills

Marketing Analytics

Marketing Science

Leadership

Stakeholder Management

AI-driven Marketing

Machine Learning

Multi-Channel Marketing

Education

Master's in quantitative field

Professional certification in Marketing Analytics (advantage)

Tools

Power BI

Tableau

SQL

Python

R

Google Ads

DV360

SA360

Meta Business Suite

LinkedIn Campaign Manager

Job description

StoneX Group Inc. in Cape Town seeks an experienced Marketing Analytics leader to partner with the CMO and Marketing Leadership Team. You will transform data from paid media, owned channels, CRM and third-party signals into actionable insights that drive growth.

You'll define the analytics roadmap, establish measurement frameworks, and lead analytics and data science teams to deliver KPI-driven recommendations to senior stakeholders.