Senior E-commerce Data Analyst

Placements24; Stellenbosch; Hybrid; ZAR 700,000 - 1,200,000; Full time

Job summary

WhatJobs Direct is seeking a Senior E-commerce Data Analyst to join the Stellenbosch analytics team. You will collect, analyze, and interpret complex datasets to identify trends and provide actionable insights across acquisition, engagement, and conversion objectives.

The role requires a strong quantitative background, proficiency in SQL/Python and BI tools, and experience with web analytics and A/B testing. Hybrid work model in Stellenbosch offered.

Qualifications

• Bachelor's or Master's degree in a quantitative field.
• Minimum 5 years of data analysis experience with e-commerce/digital marketing.
• Proficient with data visualization tools (Tableau/Power BI) and advanced Excel.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Collect, clean, and analyze large datasets from multiple e-commerce sources.
• Develop dashboards and reports tracking KPIs for e-commerce, marketing, and behavior.
• Identify trends and anomalies to drive business growth.
• Analyze customer behavior, segmentation, and lifetime value for marketing/product strategy.
• Perform A/B testing and analyze results to improve site performance.
• Collaborate with marketing, sales, and product teams to meet data needs.
• Develop predictive models and forecasting tools for planning.
• Present findings clearly to stakeholders at all levels.
• Stay updated with latest data analytics techniques and tools.
• Mentor junior analysts and grow the analytics team's capabilities.

Skills

SQL

Python

Tableau/Power BI

Excel

Google Analytics

Data Visualization

A/B Testing

Segmentation

R

Education

Bachelor's/Master's in Statistics/Math/Economics/CS

Tools

Tableau

Power BI

Excel

Job description

About the Role

Our client, WhatJobs Direct , is seeking a highly analytical and experienced Senior E-commerce Data Analyst to join their growing analytics team in Stellenbosch, Western Cape . This pivotal role involves leveraging data to drive strategic decision-making across all aspects of the e-commerce business. You will be responsible for collecting, analyzing, and interpreting complex datasets to identify trends, uncover insights, and provide actionable recommendations that optimize customer acquisition, engagement, and conversion rates. The ideal candidate possesses a strong quantitative background, proficiency in data analysis tools, and a deep understanding of e-commerce metrics and KPIs. This is an exciting opportunity to make a significant impact on the business's performance through data-driven insights.

Key Responsibilities

• Collect, clean, and analyze large datasets from various e-commerce sources (website analytics, sales data, marketing campaigns, customer feedback).


• Develop and maintain dashboards and reports to track key performance indicators (KPIs) related to e-commerce sales, marketing, and customer behavior.


• Identify trends, patterns, and anomalies in data to uncover actionable insights and opportunities for business growth.


• Conduct in-depth analysis of customer behavior, segmentation, and lifetime value to inform marketing and product strategies.


• Perform A/B testing and analyze results to optimize website performance, user experience, and conversion rates.


• Collaborate with marketing, sales, and product teams to understand their data needs and provide analytical support.


• Develop predictive models and forecasting tools to support business planning and strategy.


• Present findings and recommendations clearly and concisely to stakeholders at all levels of the organization.


• Stay current with the latest data analysis techniques, tools, and e-commerce best practices.


• Mentor junior analysts and contribute to the development of the analytics team's capabilities.

Requirements

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


• Minimum of 5 years of experience in data analysis, with a significant focus on e-commerce or digital marketing.


• Proven experience with data visualization tools (e.g., Tableau, Power BI) and advanced Excel skills.


• Proficiency in SQL for data extraction and manipulation.


• Experience with statistical programming languages such as Python (Pandas, NumPy) or R.


• Strong understanding of web analytics platforms (e.g., Google Analytics) and e-commerce metrics.


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


• Ability to communicate complex data insights effectively to both technical and non-technical audiences.


• Experience with A/B testing methodologies and analysis.


• Familiarity with machine learning concepts is a plus.


• Must be able to work effectively in a hybrid work model in Stellenbosch .

Benefits

Our client offers a competitive salary, comprehensive health benefits, retirement savings plan, performance-based incentives, and generous paid time off. Employees will have access to cutting-edge analytics tools, opportunities for professional development, and the chance to contribute to data-informed strategies in a dynamic environment located in Stellenbosch .