Ubisoft Data Analyst Interview Guide

Ubisoft data analyst interviews, as three candidates describe them, mix hands-on analytics with conversations about how you work. The formats differ from person to person, so treat the details below as individual reports, not a fixed pipeline.

One candidate for a senior analyst role reported a take-home assessment that used SQL for ETL and Power BI for a report, followed by a technical round of roughly ninety minutes with a lead analyst and a data scientist. Questions covered self and cross joins, rank versus dense rank, and predicting row counts for inner, left, right, cross, union and union all joins on tables with duplicates and blanks. They also covered ACID, normalisation, fact versus dimension tables, Power BI row-level security and optimisation, and easy Python tasks. The same candidate faced logic puzzles and a managerial round on project walkthroughs, handling a difficult client, Agile sprint planning, and a revenue-growth scenario about free-to-play games and player retention.

A second candidate described a recruiter call, a roughly 30-minute hiring manager round, and an hour-long final round with a SQL and Tableau case study plus a conflict-resolution question. That candidate also noticed a mismatch between a technical job posting and the recruiter's description of the role as non-technical, so confirm the scope early.

A third candidate reported an HR screen, one or two manager conversations about Ubisoft's projects and motivation, and an Excel exercise. Other topics included SQL, Tableau, machine learning basics, statistics and Jira. All three reported no offer, so use these accounts to prepare broadly and ask clarifying questions about what the team values.