Senior Associate, Marketing Effectiveness
Posted Sep 14, 2026 · We last checked this listing on Oct 6, 2026
Likely interview questions for this role
Written from this job description, not a generic list. Each one notes what the interviewer is really checking.
About your past
Tell me about a data pipeline you built or maintained. What broke, and how did you fix it?
What they are checking: Whether they have hands-on data engineering experience, which this role leans on heavily.
Tell me about a time you worked with a team in another location to deliver on a tight timeline.
What they are checking: Whether they collaborate well with onshore analytics and media teams across time zones.
What would you do
You notice spend for one channel dropped to zero in this week's report. What do you do?
What they are checking: Whether they flag anomalies proactively and check whether it's a pipeline issue or a real change.
How would you explain a drop in a channel's performance to a media team that wants a quick answer?
What they are checking: Whether they can give clear insight at the channel and tactic level without overclaiming causes.
This role is remote but needs ET hours. How do you manage your day to stay responsive?
What they are checking: Whether they can be dependable for teams that need fast turnaround during the eastern workday.
About the work
Walk me through how you'd prepare weekly data for an attribution model so the results can be trusted.
What they are checking: Whether they know how to clean, join and check media data before it feeds a model.
What goes into quarterly marketing mix model inputs, and what problems usually show up in that data?
What they are checking: Whether they understand MMM inputs like spend, impressions and outside factors, and the gaps that skew results.
How do you QA a weekly report before it goes to the client?
What they are checking: Whether they have a repeatable process for accuracy and consistency across deliverables.
What is a media taxonomy, and why does keeping it consistent matter?
What they are checking: Whether they see that inconsistent campaign naming breaks channel and tactic reporting.
What tools do you use for data prep and visualization, like SQL, Python or Tableau?
What they are checking: Whether they can work comfortably across the platforms and datasets the posting describes.
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Practice this out loudThe full job description
As published by Dentsu.