C

E-commerce Data Analys

Casa Mia

Information & Communication Technology

Posted 15/03/2026
Closed 29/03/2026

QR Code

Part time

Not specified
🛒 E-commerce Data Analyst – Job Description📍 Location: Australia 🕒 Employment Type: Full-time / Part-time🌟 About the RoleWe are seeking a detail-oriented E-commerce Data Analyst to join our team in Australia. In this role, you will analyse online sales, marketing, and customer data to provide insights that drive e-commerce growth and improve customer experience 📈.You will collaborate with marketing, sales, and product teams to optimise digital channels and support data-driven decision-making 🚀.💼 Key Responsibilities📊 Collect, clean, and analyse e-commerce data from websites, apps, and marketplaces 🛠️ Build dashboards and reports to track KPIs such as sales, traffic, and conversion rates 🔍 Identify trends, patterns, and opportunities to improve online sales and marketing campaigns 🤝 Work with cross-functional teams to implement data-driven strategies 📈 Provide insights to optimise pricing, promotions, and customer experience 📝 Document analysis findings, processes, and recommendations ⚙️ Assist in setting up tracking tools and maintaining data quality🎯 Key Requirements🎓 Bachelor’s degree in Data Analytics, Business, Marketing, or a related field 💼 1–3 years of experience in e-commerce analytics, data analysis, or similar roles 💻 Proficiency in Excel, SQL, and data visualisation tools (Power BI, Tableau, etc.) 🧠 Strong analytical, problem-solving, and critical thinking skills 📊 Ability to translate data insights into actionable business recommendations 🗣️ Good communication and collaboration skills⭐ Preferred Qualifications📌 Experience with e-commerce platforms such as Shopify, Magento, or WooCommerce 📌 Familiarity with Google Analytics, Google Tag Manager, or other web analytics tools 📌 Knowledge of A/B testing, conversion optimisation, and customer segmentation🎁 What We Offer💰 Competitive salary package 🏡 Flexible working arrangements 📚 Opportunities for professional development and training 🌏 Supportive and collaborative team environment
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