Senior Analyst, Marketing & Commerce Analytics at Fandom
Rugeley, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

19 Aug, 25

Salary

0.0

Posted On

19 May, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Marketing/Advertising/Sales

Description

YOU WILL…

  • Provide insights and reporting that deepen the understanding of the customer and the impact of our marketing, merchandising, and product strategies - including attribution, churn prediction, lifetime value modeling, experiment methodology, and segmentation.
  • Analyze A/B and multivariate tests and serve as an advocate for proper experimental design and testing
  • Develop and regularly report against KPIs that accurately reflect the health and potential of the business, with a focus on marketing KPIs (marketing channel performance, LTV, CAC, etc.)
  • Own and expand existing dashboards and reporting and democratize data access so stakeholders can better understand and act on data and insights
  • Proactively identify and produce new types of analyses and reports to meet business stakeholders’ needs
  • Support the enhancement of the analytics stack with new tools and technologies
Responsibilities

Fandom is growing! Our Sr. Analyst, Commerce & Marketing Analytics opportunity is based in the United Kingdom, and reports to the Senior Manager of Commerce & Marketing Analytics. This position can be UK - remote or hybrid to our offices in Rugeley or London.
You will be a key member of the Commerce & Marketing Analytics team for Fanatical, Fandom’s online video game retailer. Your role will encompass exploratory data analysis, building reports and self-service dashboards, and providing insights and deep-dive analysis into the consumer journey and Fanatical’s performance in order to increase acquisition, conversion and retention. You will partner with and provide recommendations to cross-functional stakeholders, particularly our Marketing and Technology teams, while working closely with our Data Engineering function to help make sure every decision at Fanatical is informed by data.

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