E-commerce Analyst

About the Role

Our client is seeking a data-driven and insightful E-commerce Analyst to join their growing team, working remotely. In this role, you will dive deep into sales data, website analytics, and customer behaviour to uncover actionable insights that drive e-commerce strategy and performance. You will be instrumental in identifying trends, optimizing conversion funnels, and supporting key business decisions through robust data analysis. This is an ideal position for a meticulous individual with a passion for numbers and a desire to make a significant impact on online business growth from anywhere in the UK.

Key Responsibilities

• Analyze e-commerce sales data, website traffic, and user behaviour to identify trends, opportunities, and potential issues.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) for the online store .
• Provide actionable recommendations to improve website conversion rates, average order value, and customer retention.
• Conduct A/B testing and other experiments to optimize website elements and marketing campaigns.
• Collaborate with marketing, product, and operations teams to translate data insights into strategic initiatives.
• Stay current with industry best practices and emerging analytics tools relevant to the e-commerce landscape .

Requirements

• Proven experience as an E-commerce Analyst or in a similar data analysis role focused on online retail.
• Strong proficiency in data analysis tools such as Google Analytics, SQL, and Excel.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to communicate complex data insights clearly and concisely to both technical and non-technical stakeholders, working effectively in a remote setting.

Benefits

• Competitive salary with performance-based bonuses.
• Flexible working hours and a fully remote work arrangement.
• Opportunities for professional development and further training in data analytics.
• Health and wellbeing programs.
• A collaborative and supportive virtual team environment.