E-commerce Performance Analyst

About the Role

Our client is seeking a highly analytical and data-driven E-commerce Performance Analyst to join their team in Liverpool . This role is critical for understanding customer behavior, identifying growth opportunities, and optimizing the performance of our online sales channels. You will be responsible for collecting, analyzing, and interpreting complex data sets to provide actionable insights that inform business strategy and drive commercial success. If you have a passion for numbers, a knack for uncovering trends, and experience in the e-commerce space, this is an excellent opportunity to make a significant impact.

Key Responsibilities

• Collect, analyze, and interpret large volumes of e-commerce data from various sources (website analytics, sales data, marketing platforms).
• Develop and maintain performance dashboards and reports, providing clear and concise insights to stakeholders.
• Identify key trends, patterns, and anomalies in customer behavior and sales performance.
• Conduct deep-dive analyses into specific areas, such as conversion rate optimization, customer segmentation, and marketing campaign effectiveness.
• Provide data-backed recommendations for improving website usability, marketing ROI, and overall e-commerce strategy.
• Collaborate with marketing, product, and IT teams to implement data-driven changes and track their impact.

Requirements

• Proven experience as a Data Analyst or Performance Analyst , with a strong focus on e-commerce .
• Proficiency in data analysis tools and techniques, including SQL, Excel, and data visualization software (e.g., Tableau, Power BI).
• Expertise in web analytics platforms such as Google Analytics.
• Strong understanding of e-commerce metrics, KPIs, and business drivers.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to communicate complex data findings clearly and effectively to both technical and non-technical audiences.

Benefits

• Competitive salary with annual performance reviews.
• Hybrid working model offering a blend of office and remote flexibility.
• Access to advanced analytics tools and resources.
• Opportunities for professional development and upskilling in data science.
• A collaborative environment where data insights directly shape business strategy in Liverpool .