E-commerce Analytics & Optimization Specialist

Placements24; East London; On-site; ZAR 420,000 - 620,000; Full time

Benefits offered by this job

Salary-based rewards

Medical aid

Retirement fund

Performance bonuses

Job summary

Placements24 seeks an E-commerce Digital Analyst in East London, Eastern Cape. This on-site role focuses on leveraging data to understand customer behavior, optimize site performance, and drive business decisions.

You will track, analyze, and report key metrics across platforms to boost conversion rates. The ideal candidate has strong web analytics, data visualization, and statistical analysis skills, with experience translating data into clear recommendations for marketing, product, and UX

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Economics, Marketing, CS, or related quantitative field.
• 3+ years in digital/web analytics, preferably in e-commerce.
• Proficiency with web analytics platforms (GA4) and data visualization tools.
• Strong analytical and communication skills; ability to present insights clearly.

Responsibilities

• Track, analyze, and report website traffic and user behavior.
• Develop dashboards and visuals for KPIs across stakeholders.
• Analyze funnels, journeys, and site search for friction points.
• Provide actionable insights to marketing, product, and UX teams.
• Monitor digital marketing campaigns and tagging implementation.
• Ensure data integrity and present findings to technical and non-technical audiences.

Skills

Web analytics

Data visualization

Statistical analysis

SQL

Communication

Education

Bachelor's degree in a quantitative field

Tools

Google Analytics GA4

Tableau

Power BI

Google Tag Manager

Job description

Placements24 seeks an E-commerce Digital Analyst in East London, Eastern Cape. This on-site role focuses on leveraging data to understand customer behavior, optimize site performance, and drive business decisions.

You will track, analyze, and report key metrics across platforms to boost conversion rates. The ideal candidate has strong web analytics, data visualization, and statistical analysis skills, with experience translating data into clear recommendations for marketing, product, and UX