Senior Manager, Category Analytics - Entertainment

Senior Manager, Category Analytics - Entertainment

What you'll do

Senior Manager, Category Analytics - Entertainment is responsible for providing strategic and analytic support for the Entertainment vertical. Your ultimate goal is to use data and analyses to uncover problems and inform critical business decisions

Challenges you’ll be tackling:

This Individual will be tacking problems in the areas of profitability, assortment, pricing, and Supply chain (among others) as it relates to the categories.

Responsibilities:

• Provide business intelligence and reporting in the areas of retail, marketing and customer analytics. Specifically:
• Evaluate and define metrics and frameworks
• Understand root causes of changes in metrics and communicate insights effectively
•Identify levers to move key metrics
• Build and automate dashboards and reports
• Conduct in depth research and provide quantitative analysis to evaluate new projects and business opportunities
• Collabroate with category owners and leaders to uncover challenges and turn them into data driven solutions
• Work with the larger data science and core analytics team to inform and develop solutions to improve internal workflows and tooling
• Mentor and train category specialists and managers to use data and tools to improve their business performance

How you’ll know it’s right:


• If you want to shape the future of e-commerce by working with one of the richest data sets in the world
• If you can drive results and solve problems in fun and creative ways…
• If you want to be a part of one of the fastest growing e-commerce companies around where the only constant is change.


#LI-MY1

Minimum Qualifications

• Minimum 5+ years of full time work experience
• Minimum 3+ years doing quantitative analysis based on large amounts of data
• Minimum 2+ years of Advanced SQL, Tableau (or similar) and Excel skills.
• Demonstrated ability to transform business challeges to specific analytical reports and tools
• Self starter and exceptional problem solving skills
• Bachelor Degree in Math, Finance, Economics, Engineering or related quantitative field.

Preferred Qualifications

• MBA / Graduate Degree
• Understanding of statistical analysis; experience with packages, such as R, Python, SAS etc.
• Experience with large data sets and distributed computing (Hive/Hadoop)
• eCommerce experience
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All the benefits you need for you and your family

  • Multiple health plan options
  • Vision & dental plans for you & dependents
  • Associate discounts in-store and online
  • Financial benefits including 401(k), stock purchase plans and more
  • Education assistance for Associate and dependents

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