Contract E-commerce Analytics Specialist

Placements24; Vereeniging; On-site; ZAR 248,000 - 441,000; Part time

Benefits offered by this job

Competitive hourly rate

Contract role in Gauteng

Job summary

Placements24 is seeking a meticulous E-commerce Analyst to join their Vereeniging, Gauteng team on a challenging contract. You will analyze e-commerce performance, identify trends, and provide actionable insights to optimize sales and user experience.

Collaborate with marketing, product, and IT teams to translate data into strategic recommendations. You will collect data from multiple sources, monitor KPIs, conduct A/B tests, and forecast performance based on historical data.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Economics, Business Analytics, or related quantitative field.
• 2+ years experience as an E-commerce Analyst or Data Analyst with a focus on e-commerce.
• Proficiency in data analysis and visualization tools (Google Analytics, Excel, Tableau).
• Strong understanding of e-commerce metrics and online marketing principles.

Responsibilities

• Collect, analyze, and interpret e-commerce data from multiple sources (website analytics, sales, feedback).
• Monitor KPIs: conversion rates, average order value, CAC, and CLV.
• Identify trends and opportunities to improve online sales and engagement.
• Develop detailed reports and present findings to stakeholders.

Skills

Data analysis

SQL

Google Analytics

Tableau

Excel

A/B testing

Education

Bachelor's degree in Statistics/Mathematics/Economics/Business Analytics or related quantitative field

Tools

Google Analytics

Excel

Tableau

SQL

A/B testing tools

Job description

Placements24 is seeking a meticulous E-commerce Analyst to join their Vereeniging, Gauteng team on a challenging contract. You will analyze e-commerce performance, identify trends, and provide actionable insights to optimize sales and user experience.

Collaborate with marketing, product, and IT teams to translate data into strategic recommendations. You will collect data from multiple sources, monitor KPIs, conduct A/B tests, and forecast performance based on historical data.