Sr Analyst Digital Experience Support

Target Target · Retail · Minneapolis, MN

This role supports the digital experience at Target, focusing on monitoring production environments, triaging incidents, and resolving issues to improve the guest journey. It involves analyzing operational and guest data, translating technical findings, and serving as an operational liaison between business and technology teams. The role requires proficiency in digital analytics and data platforms, and involves on-call responsibilities.

What you'd actually do

  1. Independently identify and analyze operational and guest data to identify trends and build business cases to influence long term solutions that drive demand sales and improve the guest experience
  2. Translate complex technical findings into clear, actionable mitigation recommendations for business stakeholders
  3. Serve as a consultant and advisor to not only our Digital Operations team, but also Product, Guest Services, Fraud/Cyber, GSCL, Stores, and other key partners across the enterprise
  4. Demonstrate advanced proficiency in digital analytics and data platforms (e.g., DOMO, Greenfield, SQL, Fullstory) sufficient to independently perform root cause analyses of production-impacting defects, develop operational monitoring views, and advise cross-functional partners on corrective strategies.
  5. Serve as the operational liaison between various business and technology teams (across geographies) to triage, prioritize, and drive resolution of live production-impacting digital issues

Skills

Required

  • digital analytics
  • data platforms
  • SQL
  • DOMO
  • Greenfield
  • Fullstory
  • root cause analysis
  • operational monitoring
  • cross-functional collaboration
  • incident management
  • Microsoft Office Suite
  • Microsoft Excel
  • Microsoft PowerPoint
  • analytical skills
  • critical thinking
  • problem solving
  • communication skills
  • ability to manage dynamic, fast-paced changes

Nice to have

  • e-commerce experience

What the JD emphasized

  • operational and guest data
  • digital analytics and data platforms
  • production-impacting defects
  • live production-impacting digital issues
  • production-impacting events