Senior E-commerce Analyst

About the Role

Our client is seeking a highly analytical and experienced Senior E-commerce Analyst to join their dynamic team, working a hybrid model from their offices in Cambridge . This role is crucial for leveraging data to understand customer behavior, optimize the online shopping experience, and drive strategic growth for their e-commerce operations. You will be responsible for deep-diving into complex datasets, identifying key trends, providing actionable insights, and developing predictive models. The ideal candidate possesses advanced analytical skills, expertise in data visualization, and a strong understanding of the e-commerce landscape. This is an excellent opportunity for a seasoned analyst to influence key business decisions and contribute to the success of a forward-thinking company in the innovative city of Cambridge .

Key Responsibilities

• Conduct in-depth analysis of e-commerce data, including customer behavior, sales trends, website performance, and marketing ROI.
• Develop and maintain advanced dashboards and reports to track key performance indicators (KPIs) and communicate insights effectively.
• Identify opportunities for improving conversion rates, customer lifetime value, and overall profitability through data-driven recommendations.
• Build and manage predictive models for forecasting demand, customer churn, and campaign effectiveness.
• Collaborate with cross-functional teams (marketing, product, IT) to implement data-driven strategies and initiatives.
• Mentor junior analysts and champion a data-centric culture within the organization.

Requirements

• Proven experience as a Senior Data Analyst or E-commerce Analyst, with a strong focus on online retail.
• Expertise in statistical analysis, data mining, and predictive modeling techniques.
• Proficiency with SQL, Python or R for data manipulation and analysis.
• Experience with data visualization tools (e.g., Tableau, Power BI) and web analytics platforms (e.g., Google Analytics).
• Excellent communication and presentation skills, with the ability to translate complex data into clear, actionable insights.

Benefits

• Competitive salary with a comprehensive benefits package.
• Hybrid working arrangement offering a balance of office and remote work.
• Significant opportunities for professional growth and development in data science.
• Collaborate with a talented team in a stimulating academic and technological environment in Cambridge .
• Influence strategic decisions through impactful data analysis.