E-commerce Marketing Analyst

Placements24; South Africa; Hybrid; ZAR 350,000 - 550,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary

Professional development

Data-driven environment

Job summary

Placements24 is seeking an E-commerce Marketing Analyst to join the Paarl team. You will measure and report on all digital marketing campaigns and e-commerce activities, translating data into actionable insights to optimize spend and growth.

The role requires strong analytical skills, experience with Google Analytics and data visualization tools, and effective communication for stakeholder presentations. This hybrid position offers growth and exposure to cutting-edge analytics tools.

Qualifications

• Experience as Marketing Analyst or similar role in digital marketing and e-commerce.
• Proficiency with web analytics tools such as Google Analytics.
• Strong quantitative and analytical skills to interpret complex data.
• Experience with data visualization tools such as Tableau or Power BI is a plus.

Responsibilities

• Monitor and report KPI performance across e-commerce channels (paid search, social, email, affiliate).
• Develop dashboards and reports to visualize campaign performance and trends for stakeholders.
• Analyze customer behavior, funnels, and ROI to identify optimization opportunities.
• Assist in planning and executing A/B tests to improve website and campaign effectiveness.
• Collaborate with marketing managers to provide data-driven insights and recommendations.
• Stay updated on industry best practices and trends in digital marketing analytics.

Skills

Marketing analytics

Data interpretation

Communication skills

Dashboard visualization

Education

Bachelor's degree in Marketing or related field

Tools

Google Analytics

Tableau

Power BI

Job description

About the Role

Our client is seeking a detail-oriented and analytical E-commerce Marketing Analyst to join their growing team in Paarl . This role is critical for measuring, analyzing, and reporting on the performance of all digital marketing campaigns and e-commerce activities. You will translate complex data into actionable insights, helping to optimize marketing spend and drive profitable growth. This is an excellent opportunity for a data enthusiast who enjoys uncovering trends and providing strategic recommendations to enhance online performance within a collaborative and results-driven environment.

Key Responsibilities

• Monitor, analyze, and report on key performance indicators (KPIs) for all e-commerce marketing channels , including paid search, social media, email, and affiliate marketing.
• Develop and maintain dashboards and reports to visualize campaign performance and trends for stakeholders.
• Conduct deep-dive analysis into customer behavior, conversion funnels, and ROI to identify optimization opportunities.
• Assist in the planning and execution of A/B tests and other experiments to improve website performance and campaign effectiveness.
• Collaborate with marketing managers to provide data-driven insights and recommendations for campaign strategies.
• Stay up-to-date with industry best practices and emerging trends in digital marketing analytics.

Requirements

• Proven experience as a Marketing Analyst or similar role, with a strong focus on digital marketing and e-commerce.
• Proficiency in using web analytics tools such as Google Analytics .
• Strong quantitative and analytical skills, with the ability to interpret complex data sets.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent communication and presentation skills, with the ability to explain technical findings to non-technical audiences.
• Bachelor's degree in Marketing, Statistics, Economics, Business Analytics, or a related field.

Benefits

• Competitive annual salary and benefits package.
• Hybrid work model offering a balance of office and remote work.
• Opportunity to work with cutting-edge analytics tools.
• Professional development and training opportunities.
• A supportive team environment focused on data-driven decision-making.