Amazon.com Services LLC
Buying, Planning, Instock Management, Planning/Development, worldwide grocery stores
SeniorCategoryAnalyst,CategoryAnalytics
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Category Analyst, Category Analytics at Amazon.com Services LLC. Skills: Data analysis, Business analysis, Category analytics. Utilize advanced analytical methods. Identify patterns, relationships, and trends”
Industry & Context.
Data-driven recommendations; Actionable insights
What They're Looking For.
Must Have
Bachelor's degree or equivalent, Bachelor's in quantitative discipline, 3+ years quantitative/financial analysis, 3+ years retail buying, 3+ years retail planning & allocation, 3+ years product/project management, 3+ years pricing, 3+ years marketing, 3+ years e-commerce experience, Experience with data analysis tools, Experience with Excel, Experience with Pivot Tables, Experience with macros, Experience with SQL, Experience with Tableau, Experience with Quicksight
Nice to Have
Experience in Grocery / CPG business
What You'll Do.
Utilize advanced analytical methods
Synthesize information
Construct data-driven narrative
Provide business-driving recommendations
Connect results with problems
Support category-level insights
Collaborate with cross-functional partners
Act as project manager
Translate business questions into analyses
Inform business decisions
Align with business objectives
How You'll Work.
Team & Collaboration
Cross-functional partners; Analytics organization; Cross-functional Team Members
Communication Scope
Tell a story with analysis; Explain complex data; Communicate structured information; Tailor communication approach; Lead meetings; Present information; Respond to questions
Process & Methodology
Project management, Lead multiple projects
Full Job Description
As an Analytics Partner, you will be responsible for delivering data-driven and actionable recommendations through our category-level insights process to drive business decisions. The ideal candidate has the ability to “tell a story” with their analysis, built across a variety of data-sources (transactional, market, competitor, and customer) to help stakeholders achieve their business objectives. With a strong analytical skillset, relevant experience (category and assortment management, retail operations, business analysis, etc), and knowledge of the Whole Foods Market product mix you will thrive in this role that is the ideal combination of art and science. Key job responsibilities • Utilizes advanced analytical methods to identify patterns, relationships, and trends across multiple data sources. Synthesizes information to construct a data-driven narrative with business-driving recommendations that can be understood and actioned-upon by a broad audience. • Explains complex data and analytical approaches in simple terms that connect results with merchandising, customer, competitive, and marketing problems. • Supports category-level insights, ad-hocs, and reports as needed. • Collaborates with cross-functional partners across the analytics organization (assortment analytics, pricing, promotion, etc) and acts as project manager to translate stakeholder business questions into analyses that inform business decisions and align with business objectives. Skills: • Experience using multiple large enterprise databases to query and prepare data for analysis. • Strong ability to translate data into actionable analytical insights which drive business decisions. • Understands customer, market, and industry trends and emerging challenges. • Demonstrates strong knowledge of the Whole Foods Market product mix, supply base, and retail operations. • Communicates structured information in a clear, concise, and organized fashion. Tailors communication approach to specific situations a
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