Fandom

Data Analyst, Commerce & Marketing Analytics

Remote London, UK
SQL Python Pandas AWS
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Description

About this Role

Fandom is growing! Our 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, our 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 Fanatical’s performance in order to increase key commercial/operational metrics and customer engagement. You will partner with and provide recommendations to cross-functional stakeholders including Commercial, Operations, Finance, Engineering and Marketing teams, while working closely with an expanding Data Engineering function to help ensure every decision at Fanatical is informed by data.

You Will...

  • Provide insights and reporting that deepen the understanding of our key ecommerce initiatives, including the impact of our merchandising and product strategies - e.g. experimental methodology, pricing / merchandising strategies, inventory analytics / forecasting and UX
  • 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
  • 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

You Have...

  • 2-4 years of data analytics experience, with at least one year in an e-commerce environment
  • Strong experience using SQL for multi-table aggregate queries 
  • Familiar with Python, including pandas and other associated data libraries
  • Ability to clearly articulate and present insights to technical and non-technical teams alike

Bonus Points...

  • Ability to apply statistical testing to real-world data
  • Experience with major web analytics tools (Amplitude, Google Analytics, etc.)
  • Experience using Amazon Web Services (AWS)
  • Experience using business intelligence tools (Qlik, Tableau, Looker, etc.)

Benefits & Perks

  • MacBook Pro and all the gear you need for work
  • Free access to a multitude of popular online courses and books sponsored by our company
  • Training (unlimited Udemy + more)
  • Company stock options
  • Company swag packages
  • Cafeteria Benefit Program (including private medical care, gym membership, shopping/wellness bonus, etc.)
  • VTO (Voluntary Time Off) - a day off every quarter for volunteering non-profit
  • Frequent team bonding events
  • Flexible work hours & time-off
  • Employee Interest and Hobby Groups supported by our company
  • Open, energetic and fan-focused, international work environment

 

About Fandom

Fandom is the world’s largest fan platform where fans immerse themselves in imagined worlds across entertainment and gaming. Reaching more than 350 million unique visitors per month and hosting more than 250,000 wikis, Fandom is the #1 source for in-depth information on pop culture, gaming, TV and film, where fans learn about and celebrate their favorite fandoms. Fandom’s Gaming division manages the online video game retailer Fanatical. Fandom Productions, the content arm of Fandom, enhances the fan experience through curated editorial coverage and branded content from trusted and established publishing brands Gamespot, TV Guide and Metacritic, along with its Emmy-nominated Honest Trailers and the weekly video news program The Loop. For more information follow @getfandom or visit: www.fandom.com.

 

Fandom is an equal opportunity employer. Fandom values diversity, and all employment decisions are made on the basis of job requirements and individual qualifications.

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