eCommerce Optimization Analyst

At HomeCoppell, TX
1d

About The Position

At Home is looking for an eCommerce Optimization Analyst to join our growing eCommerce team! This person will own the A/B testing and Conversion rate Optimization program. They will find ways to optimize the website & mobile app for our customers. They will develop a strategy, form a hypothesis, and perform tests to increase site conversion rates & other key performance indicators.

Requirements

  • 1+ years of relevant web analytics experience is required
  • Experience with retail analytics with the ability to communicate complex concepts to a variety of audiences.
  • The problem-solving mindset with experience in diagnosing, reporting, tracking, and resolving data quality issues
  • Strong analytic, quantitative, and data interpretation skills, and ability to transform data into actionable insights. Presentation skills are a must
  • Working knowledge of online testing applications such as Google Optimize, Adobe Target, Kibo Monetate, AB Tasty, VWO, and Convert is required

Nice To Haves

  • Working knowledge of Power BI is a plus but not required

Responsibilities

  • The eCommerce Optimization Analyst's day-to-day responsibilities will require the individual to have a working knowledge of conversion rate optimization (CRO) tools. Specifically, Adobe Analytics, Adobe Target, heat mapping, and UX tracking tools
  • Own the A/B testing process & strategy. Work with the eCommerce team members to finalize the A/B test designs, development, tagging, quality assurance, & reporting
  • Identify A/B test opportunities by analyzing user behavior, navigation patterns, page performance, and conversion funnels
  • Identify customer friction points on the website for conversion and create a plan to solve those friction points by A/B testing.
  • Play a pivotal role in communicating to both peers and executive leadership opportunities for site improvements
  • Follow up on the A/B testing strategy, hypothesis, and subsequent analysis
  • Conduct moderated & unmoderated user testing scenarios to find qualitative supporting data for continuing conversion rate optimization
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