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  At FedEx, excellent data and insights are at the heart of every good business decision. As a Manager of Digital Product Analytics, you will lead FedEx towards data-driven decision-making that drives business success. In this role, you will lead a team of data professionals in producing digital insights for key audiences, creating meaningful data visualizations, and developing data-driven strategies.

REQUIRED QUALIFICATIONS:

• Minimum of 5 years of experience in digital analytics and insights
• Proven leadership skills
• Proficiency in analytics tools like SQL, Adobe Analytics, Power BI, Python, Databricks, and Amplitude.
• Advanced quantitative and statistical skills
• Superior problem-solving skills as well as the ability to act on ideas autonomously
• Excellent communication and leadership skills, with the ability to influence and engage stakeholders at all levels

PREFERRED QUALIFICATIONS:

• Prior experience leading an insights and analytics team
• Experience with machine learning and AI tools
• Advanced modeling skills
• Experience automating manual data processes
• Strong organization and documentation skills
• Growth and innovation focused for continuous improvement
  FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity employer and we are committed to a diverse and inclusive workforce in which we provide growth opportunities for all

• Develop and execute a world-class digital analytics strategy, and execute against it
• Manage and mentor a team of digital data professionals, fostering a culture of thought leadership and actionable insights
• Lead the team in the collection, analysis, and visualization of digital data from multiple sources
• Develop actionable insights and recommendations to improve the effectiveness and revenue of digital products
• Collaborate with cross-functional teams to stakeholders have critical data streams
• Create and maintain best-in-class balanced dashboards and reports, ensuring accuracy and relevance
• Conduct statistical and quantitative analysis, including predictive modeling to drive decision making
• Communicate findings and recommendations to stakeholders through clear and compelling presentations and reports
• Stay updated on the latest analytics tools, trends, and technologies and push to continuously improve processes
• Explore machine learning models to solve critical business problems and optimize processes
• Perform other duties as assigned