Job Description

Job Summary We are seeking a highly skilled and motivated E-Commerce Data Analyst to join our dynamic team. The ideal candidate will leverage data analytics to optimize our e-commerce operations, enhance the customer experience, and drive data-driven business decisions. This role involves analyzing large datasets, monitoring key performance indicators (KPIs), and collaborating with cross-functional teams to implement actionable insights that improve online sales performance and operational efficiency. Your Role and Responsibilities Data Analysis and Reporting: Analyze e-commerce performance metrics, customer behavior, and sales trends to provide actionable insights. Develop and maintain dashboards for tracking KPIs such as conversion rates, traffic sources, customer acquisition costs, and lifetime value. Market and Trend Analysis: Identify emerging market trends and provide recommendations to improve product offerings, pricing strategies, and marketing campaigns. Conduct competitor analysis to benchmark performance and identify opportunities for growth. Optimization and Forecasting: Use data modeling and predictive analytics to forecast sales and inventory needs. Partner with marketing and product teams to optimize campaigns and website performance through A/B testing and customer segmentation. Collaboration and Communication: Collaborate with IT and engineering teams to ensure data integrity and resolve any system discrepancies. Present findings and strategic recommendations to senior leadership through clear and compelling visualizations. Process Improvement: Identify inefficiencies in e-commerce operations and recommend data-driven solutions. Support automation initiatives to streamline reporting and analytics workflows. Required Technical and Professional Expertise Data Analysis Tools: Proficiency in tools such as SQL, Python, R, and Excel for data manipulation and analysis. Visualization Tools: Experience with Tableau, Power BI, or similar platforms to create insightful dashboards. Statistical Knowledge: Strong understanding of statistical analysis, predictive modeling, and hypothesis testing. E-Commerce Platforms: Familiarity with platforms like Shopify, Magento, or WooCommerce, as well as knowledge of analytics tools like Google Analytics or Adobe Analytics. Soft Skills: Excellent communication, problem-solving, and stakeholder management skills. Qualification & Experience Required Bachelor s degree in Data Analytics, Statistics, Computer Science, Business, or a related field. Master s degree preferred. 3+ years of experience as a Data Analyst, preferably in an e-commerce or retail environment. Proven track record of using data analytics to influence business decisions and drive growth. Knowledge of e-commerce trends, customer behavior analytics, and digital marketing strategies.

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