Sr Assortment & Data Analyst

Employer
Target
Location
Minneapolis, Minnesota, United States
Posted
Feb 23, 2018
Closes
Apr 15, 2018
Category
Business, Other
Employment Status
Full Time
Description: Sr Assortment & Data AnalystJoin Target's Digital Solutions team, where  you will utilize your data analytics experience to ensure that Target's digital assortment is fulfilling our guests' expectations. Use your skills, experience and talents to be a part of a team that values groundbreaking innovation and visionary goals. As a Senior Assortment & Data Analyst you'll take the lead as you… 
  • Understand Target's digital strategy and work with business and operations teams to develop key analytics and tracking/reporting mechanisms
  • Utilize multiple data sources (eg consumer, category, competitive, external/internal search) to analyze key & trending retail assortment themes in order to influence digital assortment acquisition strategies
  • Collect and analyze data, research competitors and identify trends in order to develop recommendations for best-in-class experiences to drive digital traffic and conversion
  • Develop deep understanding of how category level assortment, taxonomy, and content influence search engine rankings
  • Create detailed business plans, including assortment recommendations, to improve internal and external search ranking results
  • Work cross-functionally with site taxonomy, internal search, SEO & SEM teams to advocate for category specific needs to drive search traffic
Requirements
  • 3-5 years of proven SEM experience with strong research and analytical skills; retail experience preferred
  • Bachelor's degree in Marketing or a quantitative, test-driven field
  • Well-versed in performance marketing, conversion, and online customer acquisition
  • Up-to-date with the latest trends and best practices in SEO and SEM
  • Experience with website analytics tools
  • Proven ability to communicate complex concepts to peers and stake holders
  • Ability to break down multiple data sources to draw conclusions and provide recommendations
  • Ability to work across vast amounts of data from different data sources
  • Comfortable with ambiguity and able to adapt project plans and tasks to changes 
  • Detail oriented

Qualifications:

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