Sr Data Analyst - Digtial BIA

Expiring today

Employer
Target
Location
Minneapolis, Minnesota, United States
Posted
Mar 24, 2018
Closes
Apr 21, 2018
Category
Business
Employment Status
Full Time
Description: JOIN US AS A SR DATA ANALYST - DIGITAL BIA The Sr. Data Analyst you'll operate in the intersection of the business, data and technology in a hyper-growth environment.  You will collaborate with products and businesses within Target Digital/Target.com to uncover insights and build/program solutions to problems. You'll work with senior leaders across the Digital - Web and Mobile platforms to shape the future of Target with a rigorous data mindset. Use your skills, experience and talents to be a part of groundbreaking thinking and visionary goals.  As a Sr. Data Analyst, you'll take the lead as you…
  • Work with the business to define a problem, find the requisite data and propose solutions based on data analysis
  • Understand and anticipate problems and move to solve them quickly
  • Create and automate reporting and insights at scale that informs/influences business and product decisions
  • Drive acceptance of data solutions and influence decision-makers with the results of your analysis
  • Democratize data and insights as you strive to deliver self-service tools to your partners and enable them to make better decisions quicker
  • Deliver dashboard reporting and hold products and businesses accountable for results against goals and objectives
Requirements
  • Bachelor's degree in a technical/analytics field
  • 4+ years of experience working in analytics and reporting within the Digital (web and mobile) or Retail industries
  • Large scale hands on experience with analytics tech/tools such as: SQL, R, Hadoop/Hive, Spark, DOMO, etc. or equivalent
  • Deep understanding of technical and analytical approaches, including: digital and brick and mortar A/B and multivariate testing (design, execution and analysis) and predictive modeling
  • Excellent communication skills with the ability to speak to both business and technical teams as well as clearly translate ideas between them
  • Comfort with ambiguity and open-ended problems
  • Desire and ability to learn new data/analytics technologies and concepts quickly and utilize at scale

Qualifications:

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