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Blizzard Entertainment

Manager, Growth Marketing Analytics

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Blizzard Entertainment
๐Ÿ‡บ๐Ÿ‡ธ Irvine, CA

Job Description:

Blizzard is looking for an Analytics manager, who will help drive data-backed decisions, recommendations and optimization for Paid media, and CRM teams. In this strategic role, you will manage, coach, and mentor a team of 4-5 analysts and will help uplevel the analysts in your team. You will be working closely with cross-functional leaders across the organization and across Blizzardโ€™s portfolio of games. The ideal candidate in this role will have prior experience working hands-on with marketing data and building analytical solutions.

What youโ€™ll do:

  • Make actionable recommendation on channel mix, marketing mix, optimization towards brand and performance outcomes, and budget setting/allocation
  • Collaborate with Strategy, Activation and Commercial teams to develop measurement plans for marketing campaigns
  • Mentor and lead a team of analysts
  • Supervise the development and maintenance of marketing performance dashboards, scorecards, econometric models, and attribution models
  • Design and execute marketing test plans to measure the impact of paid media and CRM channels to overall business
  • Partner with Martech, Commercial, and Product teams on data instrumentation, tracking and measurement
  • Partner with internal and external teams to acquire, segment, and enrich customer data
  • Present campaign results, test outcomes, and customer insights to internal stakeholders at all levels

Who you are:

  • Strong project management and organizational skills with the ability to manage multiple projects concurrently and to supervise direct reports
  • 6-8 years of relevant experience; 2+ years of experience managing a team
  • Highly skilled in SQL
  • Familiarity with experimental design, observational studies, quasi-experiments
  • Familiarity with Tableau, Data Studio, Google Analytics, Google Campaign Manager, Appsflyer, mParticle, Singular, BigQuery, SFMC
  • Bonus: Experience with scripting languages and/or statistical programming language