interviewing in about 3 weeks for a data engineering position on the supply chain analytics team. going through the recruiter screen next week.
anyone who's been through the loop recently, for DE or any analytics/data role, please drop what you remember. rounds, what the technical portion looked like, any curveballs. i've been in a fintech shop for 4 years and retail data at this scale is new to me.
specifically curious: is the technical screen SQL/Python focused or more system design? and did you get the 'here's a real problem we have' style question or classic algorithm stuff?
thanks in advance. will report back after mine.
4 replies
ds_dmitri
did a data scientist loop there about 6 months ago. not exactly DE but overlapping. technical was SQL-heavy with a case study. they gave me a hypothetical inventory problem and asked how i'd model it, what signals i'd use, how i'd validate. no algo stuff at all.
analyst_ana
my loop for an analyst role was about 5 months ago. they asked me to walk through how i'd build a reporting solution for something store-ops related. no hard SQL test but they definitely expected you to know how to think about data modeling. retail-specific context helped a lot.
de_derek
retail-specific context is exactly what i'm nervous about. going to spend some time this week on their supply chain model and how they talk about it publicly. thanks.
firsttime_mgr
worth noting that 'supply chain tech' and 'store analytics' are pretty different orgs there. make sure you know which team you're talking to because the interview focus can shift a lot.