E-commerce Data Analyst

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 350,000 - 600,000; Full time

Benefits offered by this job

Flexible hybrid work model

Professional development opportunities

Competitive compensation and benefits

Job summary

Placements24 is seeking an E-commerce Data Analyst to transform data into actionable insights for marketing and product teams. You will manage data from multiple sources, build dashboards, and drive optimization across campaigns and website performance.

A strong emphasis on e-commerce KPIs and data storytelling is required. You will collaborate with stakeholders across the business, ensuring data accuracy while exploring trends to boost conversions and customer lifetime value.

Qualifications

• 3+ years of experience as a Data Analyst, preferably in e-commerce or digital marketing.
• Proficient in data analysis and visualization tools (SQL, Excel, Tableau, Power BI) and Google Analytics.
• Strong understanding of e-commerce metrics (conversion rate, AOV, LTV, CAC) and business principles.

Responsibilities

• Collect, clean, and analyze data from e-commerce platforms, website analytics, CRM, and other sources.
• Develop and maintain dashboards and reports to track KPIs related to sales, traffic, conversion, and CAC/LTV.
• Identify trends and opportunities to inform marketing and product strategies.
• Conduct A/B testing analysis and provide optimization recommendations.
• Segment customer data to understand purchasing behavior and lifetime value.
• Collaborate with marketing, product and sales to provide data-driven insights.

Skills

Analytical thinking

Critical thinking

Problem solving

Education

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Tools

SQL

Excel

Tableau

Power BI

Google Analytics

Job description

About the Role

Our client is seeking a sharp and analytical E-commerce Data Analyst to join their growing team. This role will focus on leveraging data to understand customer behavior, optimize website performance, and drive e-commerce sales growth. You will be responsible for collecting, analyzing, and interpreting complex datasets from various sources, translating findings into actionable insights and recommendations for the marketing and product teams. The ideal candidate is proficient in data analysis tools and possesses a strong understanding of e-commerce metrics and KPIs. This position offers a flexible hybrid work model, allowing for both remote analysis and in-office collaboration with key stakeholders.

Key Responsibilities

• Collect, clean, and analyze data from e-commerce platforms, website analytics, CRM, and other sources.


• Develop and maintain dashboards and reports to track key performance indicators (KPIs) related to sales, traffic, conversion rates, customer acquisition, and retention.


• Identify trends, patterns, and opportunities within the data to inform business strategies and marketing initiatives.


• Conduct A/B testing analysis and provide recommendations for website and campaign optimization.


• Segment customer data to understand purchasing behavior, preferences, and lifetime value.


• Collaborate with marketing, product, and sales teams to provide data-driven insights and support decision-making.


• Perform ad-hoc data analysis to address specific business questions and challenges.


• Communicate complex analytical findings clearly and concisely to both technical and non-technical audiences.


• Ensure data accuracy and integrity across all reporting and analysis.


• Stay current with industry trends in e-commerce analytics and data science techniques.

Requirements

• Proven experience (3+ years) as a Data Analyst, preferably within an e-commerce or digital marketing context.


• Strong proficiency in data analysis and visualization tools such as SQL, Excel, Tableau, Power BI, or similar.


• Experience with web analytics platforms like Google Analytics.


• Solid understanding of e-commerce metrics (e.g., conversion rate, AOV, LTV, CAC) and business principles.


• Excellent analytical, critical thinking, and problem-solving skills.


• Strong ability to translate data into actionable business insights.


• Effective communication and presentation skills.


• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.


• Experience with statistical modeling or machine learning is a plus.


• Comfortable working in a hybrid environment, balancing remote work with on-site meetings and collaboration.

Benefits

This role offers a flexible hybrid work arrangement, providing work-life balance and collaborative opportunities. Our client provides a competitive salary, comprehensive benefits package, and opportunities for professional development in data analytics and e-commerce. You will work with a data-centric team and contribute to key strategic decisions that impact business growth. Join an innovative company where your analytical skills are valued and have a direct impact on success.