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      Senior Data Analyst Interview

      24 May 2026
      Anonymous employee
      Vancouver, BC
      Accepted offer
      Positive experience
      Average interview

      Application

      I applied online. I interviewed at Electronic Arts (Vancouver, BC) in Aug 2024

      Interview

      HR screening followed by a technical interview / SQL challenge where reasoning skills and technical skills are assessed, then a fit round with stakeholders. Technical round is gradual difficulty. Stakeholder meeting is more about behavioral skillset, talking about needs, options, ...

      Interview questions [1]

      Question 1

      Solve SQL challenges with progressive difficulty and screen sharing
      Answer question

      Other Senior Data Analyst interview reviews for Electronic Arts

      Senior Data Analyst Interview

      7 Oct 2024
      Anonymous interview candidate
      No offer
      Negative experience
      Easy interview

      Application

      I applied online. I interviewed at Electronic Arts in Sept 2024

      Interview

      GHOSTING CANDIDATES Applied online, got an email from recruiter to share availability and he also shared 4 behavioral questions to prepare. Recruiter call went well and recruiter assured me that my resume is a great fit and he will get back to me with next steps in 24 hours. I followed up multiple times but no response

      Interview questions [1]

      Question 1

      tell me about yourself, new things you have learned etc
      Answer question
      1

      Senior Data Analyst Interview

      30 Jan 2024
      Anonymous interview candidate
      Vancouver, BC
      No offer
      Positive experience
      Average interview

      Application

      I applied online. The process took 4 weeks. I interviewed at Electronic Arts (Vancouver, BC) in Oct 2022

      Interview

      *HR screen was standard. *Call with Analytics Manager was a general conversation and nothing out of the ordinary *Technical screening was a combination of verbal responses to SQL questions (ie. given 2 tables how would you connect them and find this result) & Python questions (ie. started with differences in functions and then progressed). *Connection with Product Managers on the team I would be joining. Experience based questions. * Take home exercise. Given data set and problem. Present to the director level about your findings.
      2