E-commerce Data Analyst

Placements24; Bloemfontein; On-site; ZAR 380,000 - 600,000; Full time

Benefits offered by this job

Competitive compensation

Health insurance

Professional development

Data-driven culture

Bloemfontein location

Job summary

Placements24 is seeking an E-commerce Data Analyst to join their Bloemfontein team. You will collect, analyze, and interpret large data sets to drive strategic decisions for the online business, focusing on customer behavior, marketing optimization, and website performance.

You will build dashboards, conduct A/B tests, and present insights to stakeholders. Proficiency in SQL, Python, Google Analytics, and Tableau/Power BI is essential for success.

Qualifications

• Bachelor's degree in a quantitative field is required.
• Proven Data Analyst experience in e-commerce/digital marketing preferred.
• Proficiency with SQL, Python (Pandas/NumPy) or R and data visualization tools.

Responsibilities

• Collect, clean, and organize large data volumes from multiple sources.
• Develop and maintain dashboards/reports to track KPIs (traffic, conversions, CAC, LTV).
• Analyze customer behavior and campaign performance to identify trends.
• Conduct A/B testing and analyze results to inform UI/UX and marketing strategies.
• Provide regular reports and clear recommendations to stakeholders.
• Collaborate with marketing, product, and IT to ensure data accuracy and support analytical needs.

Skills

Analytical thinking

Data storytelling

Communication

Problem-solving

Stakeholder engagement

Education

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

Tools

SQL

Python

R

Google Analytics

Tableau

Power BI

Job description

About the Role

Our client is seeking a highly analytical and detail-oriented E-commerce Data Analyst to join their growing team in Bloemfontein . You will be responsible for collecting, analyzing, and interpreting complex data sets to provide actionable insights that drive strategic decisions for their online business. This role is crucial for understanding customer behavior, optimizing marketing campaigns, improving website performance, and identifying new growth opportunities within the competitive e-commerce market . The ideal candidate possesses strong quantitative skills, a passion for data storytelling, and the ability to translate raw data into clear, impactful recommendations.

Key Responsibilities

• Collect, clean, and organize large volumes of data from various sources, including website analytics, sales data, and marketing platforms.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) related to website traffic, conversion rates, customer acquisition cost, and customer lifetime value.
• Analyze customer behavior, purchasing patterns, and campaign effectiveness to identify trends and opportunities for optimization.
• Conduct A/B testing and analyze results to inform website design, marketing strategies, and user experience improvements.
• Provide regular reports and presentations to stakeholders, clearly communicating findings and actionable recommendations.
• Collaborate with marketing, product, and IT teams to ensure data accuracy and support their analytical needs.

Requirements

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Proven experience as a Data Analyst, preferably with a focus on e-commerce or digital marketing.
• Proficiency in data analysis tools such as SQL, Python (with libraries like Pandas, NumPy), or R.
• Strong experience with web analytics platforms like Google Analytics.
• Excellent data visualization skills and experience with tools like Tableau or Power BI.
• Strong analytical and problem-solving abilities, with the capacity to interpret complex data and communicate insights effectively.

Benefits

• Competitive annual salary and potential for performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development and advanced data analytics training.
• A supportive team environment focused on data-driven decision-making.
• Work in a key role contributing to the growth of an exciting e-commerce business in Bloemfontein .