Intermediate Quantitative Analyst - Customer Analytics

Air Chefs; Cape Town; On-site; ZAR 600,000 - 800,000; Full time

Job summary

Wonga is seeking a customer analytics specialist to grow our customer base by understanding the lending lifecycle and influencing behavior with data-driven insights.

You will build predictive models, segment customers, and partner with Marketing, Credit, and Product teams to improve retention and lifetime value. Strong SQL and Python/R skills, plus experience with dashboards (Power BI/Tableau/Looker) are essential.

Qualifications

• 3-5 years in customer analytics, CRM, or marketing analytics
• Strong SQL and Python/R for modeling
• Experience with customer lifetime value (CLV) or churn models
• Ability to create dashboards (Power BI, Tableau, Looker)
• Commercially minded with excellent communication skills

Responsibilities

• Develop actionable customer segments and predictive models
• Analyze customer lifecycle to identify retention drivers
• Partner with Marketing, Credit, and Product teams
• Translate data insights into business strategies

Skills

SQL

Python

R

CLV modeling

Churn modeling

Dashboards

Communication

Tools

Power BI

Tableau

Looker

Job description

Role Overview

Help us grow Wonga's customer base by understanding and influencing customer behavior across the lending lifecycle. You'll build predictive models to boost retention and lifetime value.

What We're Looking For

• 3-5 years in customer analytics, CRM, or marketing analytics
• Strong SQL and Python/R for modeling
• Experience with customer lifetime value (CLV) or churn models
• Ability to create dashboards (Power BI, Tableau, Looker)
• Commercially minded with excellent communication skills

What You'll Do

• Develop actionable customer segments and predictive models
• Analyze customer lifecycle to identify retention drivers
• Partner with Marketing, Credit, and Product teams
• Translate data insights into business strategies

Why You'll Love It

• Drive significant impact on business growth
• Work with cutting-edge data analytics tools
• Collaborative environment focused on data-driven decisions