E-commerce Data Analyst

Placements24; Benoni; Hybrid; ZAR 360,000 - 600,000; Full time

Benefits offered by this job

Hybrid work model

Medical benefits

Retirement benefits

Analytics training

Job summary

Placements24 is seeking an E-commerce Data Analyst in Benoni to uncover insights from complex datasets and drive strategic decisions for online growth. You will analyze customer behavior, sales trends, and campaign performance, and develop dashboards to monitor KPIs.

The role requires 2–4 years of experience with SQL/Python/R, and strong data visualization skills. A hybrid work model and opportunities for analytics training are offered.

Qualifications

• Bachelor's degree in a quantitative field (Statistics, Mathematics, CS, Economics)
• 2-4 years experience as a Data Analyst, preferably in e-commerce or digital marketing
• Proficiency in SQL, Python, or R
• Experience with web analytics platforms (Google Analytics, Adobe Analytics)
• Strong data visualization skills (Tableau, Power BI)
• Excellent analytical, problem-solving, and communication skills, ability to explain data to non-technical audiences

Responsibilities

• Collect, clean, and organize large datasets from e-commerce platforms, web analytics, and marketing tools
• Analyze customer behavior, sales trends, and campaign performance to identify insights
• Develop and maintain dashboards and reports to track KPIs and present findings
• Provide data-driven recommendations to improve website conversions and revenue
• Conduct A/B testing analysis and interpret results for future decisions
• Stay updated on industry trends in data analysis and e-commerce analytics

Skills

SQL

Python

R

Data visualization

Analytical thinking

Communication

Education

Bachelor's degree in Statistics/Mathematics/CS/Economics

Tools

Google Analytics

Adobe Analytics

Tableau

Power BI

Job description

About the Role

Our client is seeking a skilled and analytical E-commerce Data Analyst to join their team in Benoni . This role is essential for uncovering insights from complex datasets to drive strategic decisions and optimize the performance of the online business. You will be responsible for collecting, cleaning, analyzing, and interpreting data related to customer behavior, sales trends, marketing campaigns, and website performance. This hybrid position combines office-based collaboration with remote flexibility, offering a dynamic work environment. If you have a passion for data and a proven ability to translate numbers into actionable strategies for e-commerce growth, this is an excellent opportunity.

Key Responsibilities

• Collect, clean, and organize large datasets from various e-commerce platforms, web analytics, and marketing tools.
• Analyze customer behavior, sales trends, and campaign performance to identify key insights and opportunities for optimization.
• Develop and maintain dashboards and reports using data visualization tools to track key performance indicators (KPIs) and present findings to stakeholders.
• Provide data-driven recommendations to improve website conversion rates, customer engagement, and overall e-commerce revenue.
• Conduct A/B testing analysis and provide insights on test results to guide future product and marketing decisions.
• Stay updated on industry trends and best practices in data analysis and e-commerce analytics.

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• 2-4 years of experience as a Data Analyst , preferably in an e-commerce or digital marketing environment.
• Proficiency in data analysis tools such as SQL, Python, or R.
• Experience with web analytics platforms like Google Analytics, Adobe Analytics.
• Strong skills in data visualization tools (e.g., Tableau, Power BI).
• Excellent analytical, problem-solving, and communication skills, with the ability to explain complex data to non-technical audiences.

Benefits

• Competitive annual salary and performance bonuses.
• Hybrid work model offering flexibility and autonomy.
• Comprehensive medical and retirement benefits package.
• Access to advanced analytics training and professional development opportunities.
• A collaborative team atmosphere focused on data-driven decision-making in Benoni .