Manger - Ecommerce Analytics (225-901)

We are seeking a highly motivated and experienced Manager of Ecommerce Analytics to join our dynamic team. In this pivotal role, you will lead the analytics function within our ecommerce division, ensuring that data-driven decision-making is at the core of our business strategies. You will be responsible for gathering, analyzing, and interpreting data to provide actionable insights that drive our sales and customer engagement strategies. The ideal candidate will have a deep understanding of ecommerce metrics, strong analytical and leadership skills, and a passion for leveraging data to solve complex business problems. This is a fantastic opportunity to impact our growth trajectory by optimizing our digital marketing strategies and improving customer experiences.

Responsibilities

• Lead and manage the ecommerce analytics team to deliver actionable insights.
• Develop and implement data-driven strategies to optimize ecommerce performance.
• Analyze website traffic patterns to identify opportunities for growth and improvement.
• Collaborate with cross-functional teams to align on business objectives and key metrics.
• Ensure accuracy and reliability of analytics data and reports in all tools.
• Develop predictive models to forecast sales and customer engagement trends.
• Monitor industry trends to incorporate best practices and techniques in analytics.
• Design and implement A/B tests to evaluate new features and marketing strategies.
• Prepare detailed reports and presentations for executive leadership to guide decision-making.
• Continuously seek to improve data collection and analysis processes for efficiency.
• Train and mentor team members to enhance their analytical skills and expertise.

Requirements

• Bachelor’s degree in Business, Statistics, Data Science, or related field is required.
• Minimum of 5 years’ experience in analytics, preferably in an ecommerce setting.
• Proven track record of leading analytics teams in high-pressure environments.
• Strong expertise in data analysis tools such as Google Analytics, Tableau, or SQL.
• Excellent communication and presentation skills to convey complex analyses clearly.
• Ability to work collaboratively with both technical and non-technical teams.
• Strong problem-solving skills with a strategic and analytical mindset.