Analyst Category Management

PRINCIPAL DUTIES AND RESPONSIBILITIES

As a Category Analyst for Target+, you will support a business fueled by data and analytics to deliver merchandising, and marketing strategies to drive GMV & profit goals, grow market share and guest satisfaction for your category.

• You will work closely locally and globally across our Digital team:

• Global Category Management Team

  To maintain a productive assortment, accurately forecast sales, plan inventory and drive promotions

• The Enterprise Item Team

  to understand and influence Item Data Performance and Item Productivity

• Site Experience Team

  To understand Guest traffic, experience and conversion

• Partner Acquisition Team

  To identify suitable partners and brands to onboard to fill assortment white space

• Digital Support & Performance Team

  - To understand returns and order defects to drive an elevated Guest experience and improve operational productivity and business profitability.
• You will partner with the Pricing & Promotion Captains to ensure we deliver the best everyday pricing to our guest and inspire them during routine shopping trips as well as during key seasonal moments and events.
• You will assist with seller communication to help drive action and alignment.

With most agile organizations, job responsibilities may change/ evolve at any time based on business needs.

About you:

• 3/4 year degree, B.S., B.A., B.Com, B.B.A.; Advanced Degree/ MBA Preferred
• 3+ years of experience in merchandising operations or inventory management, product selection and pricing (including managing and maintaining an open-to-buy and developing strong business relationships with sellers/vendors and industry leaders).
• 2+ years supporting an ecommerce business, with specific experience related to marketing, site experience and optimization preferred
• Fluency in using Microsoft office tools; Strong Excel

Skills Required;

• Strong analytical, forecasting, problem solving, decision-making and detail orientation
• Ability to manage large sets and interpret data
• Ability to communicate clearly and effectively with strong planning and organizational skills