Analytics Manager

Posted 8 months ago

Analytics Manager
Contract Type: Permanent
Location:
Industry:
Reference: JOB_002837[36]
Contact Name: Scott Morgan (050-1741-8848)
Contact email: scott@theadvisorygroup.co.jp
Salary Low: 8000000
Salary High: 11000000
About This Position

 

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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