Remote E-commerce Analytics Lead

Das ist der Job

This is a crucial position for a seasoned analyst who can translate complex data into clear business strategies.

Darum lohnt es sich

Key Responsibilities • Develop and maintain comprehensive dashboards and reports tracking key e-commerce KPIs (e.g., conversion rates, AOV, LTV, traffic sources). • Analyze customer behavior, purchase patterns, and marketing campaign performance to identify key trends and opportunities. • Provide actionable insights and strategic recommendations to the marketing, product, and operations teams to drive growth and improve efficiency. • Implement and manage analytics tracking tools (e.g., Google Analytics, Tag Manager) and ensure data accuracy. • Conduct deep-dive analyses into specific business questions and present findings to stakeholders. • Stay abreast of industry best practices in e-commerce analytics and data visualization.

Benefits • Competitive salary and performance-based bonus structure. • Full remote work flexibility, enabling a great work-life balance. • Comprehensive medical, dental, and vision insurance. • Significant budget for professional development, conferences, and learning resources. • Opportunity to shape the data strategy of a growing e-commerce company.

About the Role Our client is seeking a highly analytical and strategic Remote E-commerce Analytics Lead to drive data-informed decision-making across their online business.

This remote role, with strong collaboration originating from Kimberley , will involve diving deep into e-commerce data to uncover insights on customer behavior, sales trends, marketing effectiveness, and operational performance.

You will be responsible for building dashboards, generating reports, and providing actionable recommendations to optimize the customer journey, improve conversion rates, and maximize profitability.

Requirements • 5+ years of experience in data analysis, preferably within an e-commerce environment. • Expertise in using web analytics platforms such as Google Analytics, Adobe Analytics, or similar. • Strong proficiency in data manipulation and analysis tools (e.g., SQL, Excel, Python/R for data analysis). • Experience with data visualization tools (e.g., Tableau, Power BI) is highly desirable. • Excellent analytical, problem-solving, and communication skills, with the ability to present complex data clearly. • Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related field.