E-Commerce Business Intelligence Analyst | 100% Remote EU

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Requirements:

• Strong analytical skills with experience in e-commerce data analysis, including customer behavior, sales, inventory, and website traffic.
• Expertise in developing customer journey maps and reporting KPIs and business trends using tools like Google Analytics, Power BI, or Tableau.
• Proficient in predictive modeling and optimizing marketing campaigns, inventory, and website layouts based on data-driven insights.
• Experience with A/B testing, conversion rate optimization, and collaborating with UX/UI teams to enhance user experience.
• Familiarity with data privacy laws and best practices for data governance and security.
• Skilled in setting up automated performance monitoring and alerts for site issues or metric shifts.
• Ability to stay updated with the latest industry trends and continuously improve data analysis processes and tools.

Responsibilities:

• Analyze data to identify trends, patterns, and insights related to customer behavior, sales, inventory, and website traffic.
• Develop customer journey maps for various segments, illustrating paths from initial contact to final purchase.
• Create reports and dashboards highlighting KPIs, insights, and business trends.
• Define and track necessary analytics, providing actionable recommendations for team success.
• Develop predictive models to forecast sales and customer behavior for optimizing inventory, marketing, and product strategies.
• Optimize marketing campaigns and website layouts using data-driven insights.
• Conduct A/B testing to enhance website conversion rates and customer engagement.
• Collaborate with UX/UI teams to implement data-driven improvements for a smoother customer journey.
• Leverage insights to optimize marketing channels and increase engagement and conversion rates.
• Monitor the impact of changes and continuously test to improve user experience and outcomes.
• Ensure compliance with data privacy laws and enforce data governance and security policies.
• Stay updated with industry trends and explore new tools and sources to enhance data analysis capabilities.
• Monitor website performance daily and set up automated alerts for any significant issues.
• Provide rapid response analyses and recommendations to address shifts or problems in site performance.