E-commerce Data Analyst - Hybrid Role, Growth

Placements24; LegKraal Gate; Hybrid; ZAR 360,000 - 600,000; Full time

Benefits offered by this job

Hybrid work model

Professional development

Medical aid

Retirement fund

Job summary

Placements24 in Mahikeng is seeking an E-commerce Data Analyst to derive insights from customer behavior, sales, and website analytics. This hybrid role combines remote work with in-office collaboration at our Mahikeng location.

You will collect, clean, and analyze data, build dashboards, identify trends, run A/B tests, and support marketing, sales, and product teams with data-driven recommendations. Strong skills in SQL, Python or R, and GA/BI tools are essential.

Qualifications

• Bachelor's degree in a quantitative field is required.
• Proven experience as a Data Analyst focusing on e-commerce data.
• Proficiency in SQL, Python or R, and web analytics platforms.
• Experience with BI tools like Tableau or Power BI.

Responsibilities

• Collect, clean, and analyze data from various e-commerce sources, including website analytics, sales platforms, and customer databases.
• Develop dashboards and reports to track KPIs related to website traffic, conversion rates, CLV, and sales performance.
• Identify trends, patterns, and anomalies to provide actionable insights and recommendations.
• Conduct A/B testing and other experiments to optimize website performance and conversion rates.
• Collaborate with marketing, sales, and product teams to understand data needs and provide analytical support.
• Stay up-to-date with the latest data analysis tools and techniques relevant to e-commerce.

Skills

SQL

Python

R

Google Analytics

Tableau

Power BI

Data visualization

A/B testing

E-commerce data

Education

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

Tools

Google Analytics

Tableau

Power BI

Job description

Placements24 in Mahikeng is seeking an E-commerce Data Analyst to derive insights from customer behavior, sales, and website analytics. This hybrid role combines remote work with in-office collaboration at our Mahikeng location.

You will collect, clean, and analyze data, build dashboards, identify trends, run A/B tests, and support marketing, sales, and product teams with data-driven recommendations. Strong skills in SQL, Python or R, and GA/BI tools are essential.