eCommerce Data Analyst

An eCommerce Data Analyst is a professional who applies data analysis expertise to online commerce. This role requires a blend of mathematical, statistical, and computer science skills and an understanding of eCommerce business operations. 

These analysts leverage their skills to extract, interpret, and analyze data, providing actionable insights that drive business decision-making and strategies.

eCommerce Data Analysts are primarily responsible for interpreting and analyzing vast amounts of data from various sources to identify trends, patterns, and insights that can inform business decisions. They work closely with different teams and stakeholders, translating complex data into understandable results and recommendations.

Dive into the world of eCommerce data insights as a Data Analyst! Uncover trends and provide valuable insights to propel our eCommerce success.

As the Data Analyst, you will work with data to identify trends, patterns, and actionable insights that drive informed decision-making. You will collaborate with cross-functional teams and stakeholders to optimize customer experience and enhance business performance.

• Analyze and interpret large datasets to uncover valuable insights and trends related to customer behavior, sales, and marketing campaigns.
• Collaborate with other teams and stakeholders to understand and translate business needs into data analysis requirements.
• Develop and implement analytical models and algorithms to improve customer experience, conversion rates, and operational efficiency.
• Create comprehensive reports and visualizations to communicate findings and recommendations to management and stakeholders.
• Conduct ad-hoc analysis to address specific business questions and provide timely insights.
• Identify and troubleshoot data issues, ensuring the accuracy and reliability of data sources.
• Stay updated with industry trends, emerging technologies, and best practices in eCommerce analytics.
• Extract, manipulate, and analyze data effectively using tools and techniques such as SQL, Python, R, and data visualization tools.

• Improved customer experience through data-driven insights and optimizations.
• Actionable recommendations that contribute to business growth and revenue generation.
• Accurate customer segmentation for targeted marketing and personalized experiences.
• Increased customer engagement and loyalty through optimized campaigns and offers.
• Enhanced performance of marketing campaigns through data-driven optimizations.

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
• Minimum of 5 years of experience in data analysis, preferably in the eCommerce industry.
• Strong proficiency in data analysis tools and languages like SQL, Python, R, or similar.
• Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex findings to non-technical stakeholders.
• Ability to work independently and in a team environment, managing multiple priorities and meeting deadlines.
• Strong analytical thinking and problem-solving skills, with keen attention to detail.
• Solid understanding of eCommerce industry trends, metrics, and best practices.