Data Scientist (E-Commerce)

Role Overview: As an eCommerce Data Analyst, you will have the opportunity to utilize your expertise in data analysis to provide actionable insights that drive business decisions. Your role will involve working in a dynamic environment where your contributions directly impact the success of the eCommerce business. This position requires a blend of strategic thinking, project management, and advanced analytics/reporting. Key Responsibilities: - Data Integrity: Ensure accuracy, consistency, and security of data across all eCommerce systems. Document data flow between systems, recommend data flows, and input controls for key master data. - Analysis & Reporting: Collect, analyze, and interpret data from various sources to generate actionable insights and recommendations. - Performance Monitoring: Monitor key performance indicators for eCommerce activities such as conversion rates, customer acquisition costs, and average order value. - Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing strategies. - A/B Testing: Design, execute, and analyze A/B tests to optimize website performance and marketing campaigns. - Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy. - Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders. - Collaboration: Work closely with eCommerce, marketing, and product teams to align data insights with business objectives. Qualifications Required: - Educational Background: Bachelors degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or related field preferred. Equivalent experience in data analysis also considered. - Experience: 4+ years of experience in data analysis within eCommerce. - Technical Skills: Proficiency in Python, SQL, Advanced Excel, Tableau or similar tools. - Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices. - Analytical Thinking: Strong analytical and problem-solving skills to translate complex data into actionable strategies. - Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data. - Communication Skills: Excellent written and verbal communication skills to present data insights. - Collaboration: Ability to work effectively in a team environment and collaborate with various departments. - Adaptability: Ability to thrive in a fast-paced environment and continuously learn and improve. - AI Interest: Strong interest in emerging AI technologies and their applications in data analysis and business strategy. Additional Company Details: This role offers growth potential, the chance to work with a collaborative team, and develop skills in a rapidly evolving field. You will be at the center of efforts to optimize customer experiences, increase sales, and achieve growth goals. (Note: The instructions did not specify providing additional company details, but it has been included for a comprehensive understanding of the job role.) Role Overview: As an eCommerce Data Analyst, you will have the opportunity to utilize your expertise in data analysis to provide actionable insights that drive business decisions. Your role will involve working in a dynamic environment where your contributions directly impact the success of the eCommerce business. This position requires a blend of strategic thinking, project management, and advanced analytics/reporting. Key Responsibilities: - Data Integrity: Ensure accuracy, consistency, and security of data across all eCommerce systems. Document data flow between systems, recommend data flows, and input controls for key master data. - Analysis & Reporting: Collect, analyze, and interpret data from various sources to generate actionable insights and recommendations. - Performance Monitoring: Monitor key performance indicators for eCommerce activities such as conversion rates, customer acquisition costs, and average order value. - Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing strategies. - A/B Testing: Design, execute, and analyze A/B tests to optimize website performance and marketing campaigns. - Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy. - Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders. - Collaboration: Work closely with eCommerce, marketing, and product teams to align data insights with business objectives. Qualifications Required: - Educational Background: Bachelors degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or related field preferred. Equivalent experience