Data Analyst Interview Questions (Canada)
20+ Data Analyst interview questions for Canadian fintech, SaaS and banking (NOC 21223) — SQL, dashboards, and stakeholder scenarios.
What to expect
Data Analyst interviews in Canada (NOC 21223) usually combine a SQL test, a case study (build a metric / interpret a dashboard), and a stakeholder behavioural round. Be ready to defend trade-offs (CTE vs subquery, dbt vs ad-hoc, fact vs dimension).
See the matching NOC 21223 guide, the resume example, and the cover letter example.
Behavioural questions
- Tell me about yourself.
- Why do you want to work here?
- Tell me about a time you handled a difficult coworker.
- Describe a time you had to meet a tight deadline.
- Tell me about a mistake you made at work and what you learned.
- Walk me through a time you had to learn something new quickly.
- Describe a situation where you had to push back on a stakeholder.
Data Analyst-specific questions
- Walk me through a SQL query you're proud of.
- How would you investigate a sudden 12% drop in conversion?
- When do you reach for a window function vs a self-join?
- How do you handle a stakeholder who disagrees with your numbers?
- Walk me through a dashboard you built — what would you change now?
- Difference between fact and dimension tables — and how dbt fits in.
- Tell me about a time your analysis changed a business decision.
Culture-fit questions
- Where do you see yourself in 3 years?
- What's your salary expectation?
- Why are you leaving your current role?
- How do you handle feedback?
- What's your preferred working style — independent or team-based?
- Do you have questions for us?
STAR-method sample answer
Question: Tell me about a time your analysis prevented revenue loss.
Situation. At Lightspeed I noticed a recurring chargeback pattern affecting one merchant cohort.
Task. Quantify the loss and propose a rule before the next quarter close.
Action. I ran a cohort analysis in BigQuery, isolated the signal to 3 merchant categories with a 4x baseline chargeback rate, and partnered with the risk team to ship a velocity rule.
Result. $1.6M in chargebacks prevented over six months and the rule template was extended to 5 more merchant cohorts.
Smart questions to ask back
- What does success look like in the first 90 days?
- Who would I be working with day-to-day, and how is the team structured?
- What's the biggest challenge facing this team right now?
- How is performance measured and reviewed?
- What do you enjoy most about working here?