Comment recruter un(e) Data Analyst
Data analysts turn raw data into the insights that drive daily business decisions. They are the bridge between data infrastructure and business teams — translating questions into queries, and query results into clear recommendations. Hiring the right analyst means finding someone who is both technically sharp and deeply curious about the business.
Ce qu'il faut rechercher
- Strong SQL — this is the core skill, not optional
- Business acumen: ability to understand what a metric actually means for the company
- Experience with BI tools (Tableau, Looker, Power BI, or Metabase)
- Clear written and verbal communication — findings must be understood by people who don't look at data all day
- Proactive attitude: identifies problems before being asked, rather than just answering requests
- Attention to data quality: flags anomalies rather than accepting numbers at face value
Le processus de recrutement
- 1
SQL skill assessment
Give a multi-table SQL problem with aggregations, window functions, and filtering. This is the clearest single signal of readiness.
- 2
Business case exercise
Give a business scenario (e.g., 'revenue dropped 12% last week — how do you investigate?') and evaluate their structured diagnostic approach.
- 3
Dashboard or report review
Show a real or sample dashboard and ask: 'What would you add, remove, or change, and why?' Tests product taste and communication clarity.
- 4
Stakeholder communication interview
Ask how they handle conflicting data requests, urgent deadlines, and business partners who misinterpret data.
Conseils d'entretien
- Give a broken or misleading chart and ask them to spot the issue — tests data literacy and critical thinking
- Ask 'Describe a metric you created that stakeholders actually used' — looks for real impact
- Probe on self-service: 'How do you build dashboards that your business partners can trust and use independently?'
- Ask how they prioritize a backlog of ad-hoc requests
Signaux d'alerte
- Weak SQL — can't write a self-join or a window function from scratch
- Answers questions with data without questioning whether the question itself is the right one
- No experience presenting findings to leadership or business stakeholders
- Treats every number at face value — no instinct for data quality issues
- Reactive only — never proactively identified an insight the business didn't ask for
Interviewez vos candidats Data Analyst avec l'IA
Obtenez des questions d'entretien structurées suggérées en temps réel. Concentrez-vous sur le candidat.