Analytics Manager

投稿 8ヶ月前

Analytics Manager
契約タイプ: 正社員
勤務地:
職種:
リファレンス: JOB_002837[36]
担当者名: Scott Morgan (050-1741-8848)
Eメール: scott@theadvisorygroup.co.jp
給与 最低額: 8000000
給与 最高額: 11000000
この求人について

 

Are you passionate about the digital market and analyzing customer experiences? As Analytics Manager, you can gain valuable operational experience and industry knowledge. If you enjoy being a customer advocate and becoming the go-to person for Digital Analytics, this role is for you.

About Us: Our client's platform connects shoppers to interesting personalities, engaging stories, and exceptional customer service.

 

Responsibilities:

  • Join our Digital Team and report to the Director of the Digital.
  • Manage the Digital Analytics team and collaborate closely with other teams, including Performance Marketing, Digital Commerce & Programming, and Retention Marketing.
  • Collaborate with the Merchandising and Broadcasting departments to create personalized shopping experiences through data-driven insights and marketing techniques.

Impact:

  • Lead the Digital Analytics team and drive business growth through digital and customer analytics.
  • Represent the Digital department in local market analyst committees to contribute to digital transformation projects.
  • Continuously evaluate and provide necessary tools and capabilities to support your team, including Performing Marketing Analysts, SEO Specialists, Retention Marketing Analysts, and Web Analysts.
  • Actively share findings and recommendations with internal and external stakeholders through meetings and communication channels.

Qualifications:

  • Previous experience in an analytical role, preferably in a fast-paced e-commerce company.
  • Strong knowledge of on-site analytics tools such as Adobe Analytics and Google Analytics, with experience in data extraction and utilization.
  • Familiarity with retail, analytics, and research best practices.
  • Advanced computer skills, including PowerPoint, Excel, and proficiency in data extraction and analysis tools (SAS, SQL, Python, or R). Knowledge of data visualization software like Tableau is beneficial.

 

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