Generally the interview went smoothly. I liked how the communication was built, the guys were really nice and I felt supported. I had to tell about my home case study, write some SQL and answer questions about analytics.

I applied online and after about two weeks a recruiter reached out, and I booked an interview slot. I joined the meeting via the link at the scheduled time, but after 5 minutes the recruiter hadn’t joined, so I followed up by email. He later replied saying that I had missed the interview, which wasn’t true as I had been in the meeting for around 20 minutes. I had read some reviews about recruiters ghosting some candidates here, didn't think it would happen to me. He later acknowledged it may have been an error on his end and asked me to book another slot. That was a bit of a red flag for me. The second time, he did show up, but the interview felt quite cold and only lasted around 20 minutes. I applied for this role in early January and as of mid-March it’s still being advertised, which made me question how actively it’s being filled. The job description itself covers what feels like 3–6 roles. The responsibilities span core data analysis (reporting, dashboards, SQL), analytics engineering (building and maintaining data pipelines), marketing attribution ownership, and elements of data science such as experimentation and marketing mix modelling. On top of that, there’s an expectation to influence budget allocation and act as a strategic partner to marketing stakeholders. I realized that this was a “unicorn marketing measurement role”. Not quite data science, not just analytics,not just engineering, not just marketing. But you are expected to cover all of them well enough. I say this because a line from the job description read "own the code, define attribution logic, partner with teams, guide strategy". While that level of scope might appeal to some, it felt overly broad to me and raised concerns.