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Critical Mass // digital experience design agency
Toronto    Posted: Thursday, March 25, 2021
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The Search Intern will join our Search team in crafting powerful content strategies, optimizing exceptional site experiences, & driving results for some of the worlds biggest brands. Todays user experience begins at the search results, & search is at the core of a customer-centric digital strategy. The Search Intern will utilize search data to understand consumer behaviour, identify moments of intent along the user journey, & recommend strategic opportunities to drive visibility & performance. The successful candidate is a data-driven, detail-oriented digital marketer with a background or interest in paid/organic search, content strategy, analytics, UX, social, & technical optimization. 

This 12-week internship commences May 25, 2021.

 You Will:

  • Analyze search trends & consumer data to identify & execute strategic opportunities
  • Develop search-driven content strategies & recommendations
  • Research emerging industry trends & search best practices
  • Monitor & report on search performance
  • Audit site experiences, competitors, & the evolving search landscape to identify areas of opportunity
  • Work closely with Content, Technology, Strategy, & Creative teams to execute search strategies
  • Create targeted search deliverables including meta content, URL strategies, on-page content recommendations, site structure recommendations, & internal linking strategies 

You Have:

  • A passion for data analytics
  • Aptitude & interest in content strategy & UX
  • Excellent writing skills
  • Ability to research & apply the latest search developments & tactics
  • Strong initiative & independence
  • Strong computer skills, especially with Microsoft Excel
  • Ability to multi-task in a fast-paced, flexible environment
  • Ability to collaborate effectively across teams, clients, & stakeholders
  • Aptitude & desire to plan, manage, & execute site optimization projects
  • Aptitude & desire to learn business & research, data aggregation, analysis & recommendations

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