Pre-recorded video 4 questions 2 min each then Zoom call with STAR method. HackerRank in Python was only 15 minutes. OOP concepts and explaining something technical to a teammate came up
Questions Asked
1.“Out of all your options why are you most interested in Amazon?”
2.“What is Bayesian A/B testing and how does it differ from the frequentist approach?”
Capital One
Data Analyst
Raleigh, NC
Winter 2026Declined Offer
University of North Carolina · Statistics
3rd year · 2.9-3.2 GPA · 1 past internship
Average Interview
TechnicalBehavioralMultiple roundsVirtualFast process
SQL assessment was four questions, doable if you know window functions and CTEs. Power Day had two consecutive behavioral inetrviews about identifying unseen problems and explaining technical findings simply. Offer next morning
Questions Asked
1.“Why did Capital One end up on your list”
2.“Whats the difference between a metric and a KPI?”
RBC
Data Analyst
Toronto, ON
Winter 2025Accepted
University of Waterloo · Statistics
4th year · 3.3-3.6 GPA · 3 past internships
Hard Interview
TechnicalMultiple roundsBehavioralVirtual
OA had two coding problems and the work simulation where you pick answers about leadership principles. Final round was brutal because the behavioral half they kept digging deeper on every answer like tell me more about that and what did you specifically do and I ran out of things to say. Coding was graph BFS which I got but apparently wasn't enough
Questions Asked
1.“What is data lineage and why does it matter in a large organization?”
Capital One
Data Analyst
Toronto, ON
Summer 2026Declined Offer
University of Waterloo · Computer Science
4th year · 3.7+ GPA · 4+ past internships
Hard Interview
TechnicalMultiple roundsCase studyVirtual
SQL assessment first then Power Day with 2 case interviews a behavioral and a data challenge, cases were hard but manageable. Ended up declining for a better offer but would recommend applying, process is tough but fair
Questions Asked
1.“Write a SQL query to find the second highest salary from an employee table”
Bloomberg
Data Analyst
New York, NY
Winter 2026No Offer
Northeastern University · Computer Science
3rd year · 3.3-3.6 GPA · 1 past internship
Average Interview
TechnicalMultiple roundsUnexpected Questions
Zoom technical covering Python data manipulation and SQL on market data. In house round after had questions on distributed systems, not expected for a data focused role
Questions Asked
1.“Tell me about a time a business stakeholder pushed back hard on your analysis”
TD
Data Analyst
Waterloo, ON
Winter 2026No Offer
University of Waterloo · Data Science
3rd year · 2.9-3.2 GPA · 2 past internships
Average Interview
TechnicalMultiple roundsSlow processVirtual
Recruiter screen was laid back then two 45 min coding rounds same day, first was a sliding window problem that I'd done a variation of before so it went smoothly. second was graph BFS which took me longer but I got it working, I made sure to talk through my approach the whole time which the interviewers seemed to really appreciate
Questions Asked
1.“What is data governance and why does it matter?”
Salesforce
Data Analyst
San Francisco, CA
Fall 2025No Offer
University of Wisconsin-Madison · Statistics
3rd year · 1 past internship
Average Interview
TechnicalCase studyVirtual
First round was SQL with a window function question on ranked sales data. Second was a case on measuring sales rep performance from a CRM dataset
Questions Asked
1.“Describe how you'd automate a recurring reporting task using Python or a scheduling tool”
BMO
Data Analyst
Toronto, ON
Fall 2025Accepted
University of Toronto · Computer Science
3rd year · 3.7+ GPA · 2 past internships
Easy Interview
Pre-recordedFast processVirtual
Pre recorded video then phone call with HR then 30 min with the manager. Manager got into how I've used data to drive decisions and about my side projects. I showed a Kaggle project I did and they seemed impressed. Easy process overall and they got back to me in two weeks
Questions Asked
1.“Tell me about a time you had to work with incomplete or unreliable data”
Aviva
Data Analyst
Toronto, ON
Summer 2025No Offer
York University · Statistics
3rd year · 2.9-3.2 GPA · 1 past internship
Easy Interview
BehavioralTechnicalIn-Person
Pretty sure someone internal had a referral because they moved fast. Quick HR call then in office interview, mostly about past data work and why insurance. Some SQL conceptual questions and what tools I'd use to visualize claims data. Very casual process
Questions Asked
1.“What's the difference between descriptive diagnostic, predictive and prescriptive analytics?”
2.“How would you approach forecasting next quarter's revenue with two years of historical data?”
Deloitte
Data Analyst
Kitchener, ON
Summer 2026Pending Outcome
University of Waterloo · Data Science
3rd year · 2.1-2.4 GPA · 1 past internship
Hard Interview
TechnicalVirtualSlow process
All 3 interviews same day, HR first then behavioral with 2 managers then technical with 2 developers who had me write code on the spot 2 or 3 questions and they went through every project on my resume during manager round.
Questions Asked
1.“Why did Deloitte end up on your list?”
2.“What's the difference between a dimension table and a fact table?”
Lightspeed
Data Analyst
Montreal, QC
Winter 2026No Offer
Concordia University · Commerce
2nd year · 2.9-3.2 GPA · 0 past internships
Easy Interview
BehavioralVirtualPoor Communication
Heard nothing for 3 weeks after the take home and had to follow up to find out I didn't move on. HR screening first, then an interview with the team that was heavy behavioral. Talked about how I handle ambiguity and working without much guidance. Then they gave me the take home assignment
Questions Asked
1.“How do you identify and handle outliers in a dataset?”
Bell
Data Analyst
Mississauga, ON
Winter 2026Accepted
Queen's University · Commerce
3rd year · 3.3-3.6 GPA · 1 past internship
Easy Interview
Pre-recordedMultiple roundsBehavioral
Seemed like they wantedr someone comfortable with both SQL and Python. Video interview first, 3 questions. Then a phone interview and eventually a virtual panel. Why Bell and what data anaalytics experience I had. Background in marketing analytics from a class project came up a lot
Questions Asked
1.“Write a SQL query using a CTE to compute cumulative revenue by month.”
2.“How do you stay organized when fielding multiple ad-hoc data requests at once?”
CIBC
Data Analyst
Toronto, ON
Fall 2025Accepted
Toronto Metropolitan University · Business Management
3rd year · 3.3-3.6 GPA · 0 past internships
Easy Interview
BehavioralVirtualConversational
Fast process like 10 days total. nothing more to say except know about the company and their values
Questions Asked
1.“How would you build a funnel analysis to track drop-off between steps?”
2.“How would you analyze whether a marketing channel is truly driving conversions?”
Desjardins
Data Analyst
Montreal, QC
Summer 2026Pending Outcome
Concordia University · Statistics
2nd year · 2.9-3.2 GPA · 0 past internships
Easy Interview
TechnicalVirtual
They asked me to walk through how I'd clean a dataset with missing values and outliers. Phone screen last week and video call with the team yesterday. Python questions and also why Desjardins over other financial institutions
Questions Asked
1.“Why do you want to work at Desjardins”
2.“What is Tableau vs Power BI vs Looker. When would you use each?”
CRA
Data Analyst
Winnipeg, MB
Summer 2026Pending Outcome
University of Manitoba · Statistics
2nd year · 3.3-3.6 GPA · 0 past internships
Easy Interview
BehavioralVirtualSlow process
Waited months then got an interview invite in January for a position I applied to in September. 30 min behavioral interview on Zoom with two people, wanted to know what I know about the CRA and describe a time I analyzed a large dataset and also a 10 min written exercise after
Questions Asked
1.“How would you handle null values in a SQL aggregation”
2.“How do you handle a situation where two different data sources give conflicting numbers”
RBC
Data Analyst
Winnipeg, MB
Summer 2025No Offer
University of Manitoba · Mathematics
3rd year · 1 past internship
Easy Interview
TechnicalBehavioralVirtual
Supervisor covered my projects and SQL experience on the phone then managers asked OOP questions and about Java which I know well. And wanted to know about teamwork behavioral stuff, relaxed
Questions Asked
1.“What is a cohort analysis and when would you apply it?”
2.“What's the difference between a primary key and a surrogate key”
Oracle
Data Analyst
Austin, TX
Summer 2026Pending Outcome
University of Cincinnati · Information Systems
3rd year · 3.3-3.6 GPA · 1 past internship
Easy Interview
TechnicalSlow processVirtual
Interview with manager and team and they care a lot about Oracle's culture and values so know them before you go in, and wanted to know about tight deadline experience and why this position
Questions Asked
1.“Explain the difference between a self-join and a cross join with a use case for each”
Enbridge
Data Analyst
Calgary, AB
Winter 2025No Offer
University of Calgary · Software Engineering
3rd year · 3.3-3.6 GPA · 1 past internship
Easy Interview
BehavioralPre-recordedVirtualMultiple rounds
5 questions on a HireVue with a lot of safety related behavioral questions even for a data role then a panel on Teams with 3 people asking STAR stuff and basic Python and SQL questions, make sure you know Enbridge's core values because they ask about them
Questions Asked
1.“Given a sudden spike in a key metric how do you root-cause it?”
2.“What tools do you typically use for data visualization and why?”
Statistics Canada
Data Analyst
Ottawa, ON
Summer 2026Accepted
Dalhousie University · Economics
2nd year · 3.7+ GPA · 0 past internships
Easy Interview
BehavioralConversationalVirtual
Group interview format with like 20 candidates and they picked 6 to move on. They had us do a group discussion about a market scenario, it lasted maybe 2 hours
Questions Asked
1.“How would you measure the success of a newly launched product feature”
City of Toronto
Data Analyst
Toronto, ON
Summer 2026No Offer
York University · Computer Science
3rd year · 2.9-3.2 GPA · 1 past internship
Easy Interview
BehavioralSlow processMultiple rounds
Online application took a while to process. Virtual panel with two managers about working with messy data, how I'd approach a dataset I've never seen and communicating findings to council. About two months end to end
Questions Asked
1.“What is ETL and how does it differ from ELT?”
Scotiabank
Data Analyst
St. John's, NL
Summer 2026No Offer
Memorial University of Newfoundland · Computer Science
3rd year · 3.3-3.6 GPA · 1 past internship
Average Interview
TechnicalVirtualMultiple rounds
SQL and Python technical round. Made it to finals then didn't make it through with zero feedback.
Questions Asked
1.“How do you detect and handle data quality issues before publishing a report?”
Salesforce
Data Analyst
Toronto, ON
Fall 2022Accepted
McMaster University · Commerce
2nd year · 2.1-2.4 GPA · 0 past internships
Easy Interview
Behavioral
HackerRank SQL and easyish to medium coding then behavioral about communicating data findings to non-technical people and quick chat with senior manager at the end
Questions Asked
1.“How would you evaluate the lift of a recommendation engine?”
2.“Whats the difference between a correlated and a non-correlated subquery?”
3.“Tell me about an analysis you conducted that directly led to a business decision”
OpenText
Data Analyst
Waterloo, ON
Summer 2025No Offer
University of Guelph · Computer Science
2nd year · 2.9-3.2 GPA · 0 past internships
Average Interview
TechnicalVirtual
Think the offer went to an internal referral honestly. Hackerrank with data focused questions, then a technical interview covering networking troubleshooting concepts and design thinking questions about structuring a dataset. Went fine but they moved fast
Questions Asked
1.“What's the difference between GROUP BY and PARTITION BY”
2.“Explain the difference between INNER JOIN, LEFT JOIN and FULL OUTER JOIN with examples”
Aritzia
Data Analyst
Vancouver, BC
Summer 2026Accepted
University of British Columbia · Computer Science
3rd year · 3.3-3.6 GPA · 1 past internship
Easy Interview
TechnicalCase studyVirtualMultiple rounds
Interview with two people from the analytics team after a quick HR call. SQL on aggregatng sales across regions, brief case on return rate trends and Tableau experience. Very retail focused but easy
Questions Asked
1.“What drew you to Aritzia?”
2.“Describe a time your analysis changed someone's mind or direction.”
CIBC
Data Analyst
Toronto, ON
Summer 2026Pending Outcome
University of Toronto · Computer Science
2nd year · 3.3-3.6 GPA · 1 past internship
Easy Interview
TechnicalBehavioralVirtual
Just had the interview yesterday. Phone screen was quick 15 min then technical round with questions about SQL and what software I've used before and to describe a project. Behavioral with my interviewer was about handling difficult situations and what motivates me and I had to describe myself in three words which I always find awkward. Fingers crossed
Questions Asked
1.“Whats the difference between data engineering and data analytics work?”
2.“Write a SQL query to compute a 7-day moving average”
Bruce Power
Data Analyst
Fall 2025Accepted
Wilfrid Laurier University · Data Science
Alumni · 3.7+ GPA · 3 past internships
EasyVirtualConversational
Interviewed in August of 2025, the same month I was graduating. 1 round, interview with head of Project Management Center and head of Project Management Reporting. Just asked about previous work experience, coding experience, etc. Very easy overall
Virtual one-way interview, then recruiter screen followed by interview with manager. Recruiter screen was straightforward asking questions about fit and the company. Hiring manager asked about interest in role, described responsibilities and asked if I had similar experience
RBC
Data Analyst
Summer 2026Declined Offer
Wilfrid Laurier University · Data Science
4th year · 3.3-3.6 GPA · 2 past internships
Multiple roundsResume ReviewBehavioral
One HR interview asked me to introduce myself and walk her through my resume then another 30 min interview with manager we talked about the team and role mainly why I'd be interested etc
Willis Towers Watson
Data Analyst
Edmonton, AB
Fall 2024No Offer
University of Alberta · Commerce
4th year · 2 past internships
Easy Interview
Pre-recordedBehavioralVirtual
45 min on Zoom with two people, half was about previous experience and half was conceptual like had me walk through how I'd predict future temperatures for a city and what coding language I'd use, very relaxed nice people and not super technical.
Questions Asked
1.“What is a slowly changing dimension and what SCD types exist”
2.“How do you decide when to use a pie chart versus a bar chart?”
Scotiabank
Data Analyst
Montreal, QC
Summer 2025No Offer
McGill University · Commerce
2nd year · 2.9-3.2 GPA · 0 past internships
Hard Interview
TechnicalVirtual
Quick screen was quick then had this panel format interview with managers where they drilled on SQL and Python. Handling large datasets came up and the behavioral round after was fine but the technical round seems to be the one that matters most
Questions Asked
1.“Explain what a pivot query does and write an example”
1Password
Data Analyst
Fall 2026Pending Outcome
University of Arizona · Global Business / International Business
4th year · 1 past internship
Behavioral
Interview with 2 engineers for about 50 min. Asked me to describe the architecture of a system I worked on, that was my capstone REST API. Then some behavioral stuff about my biggest failure and conflict with supervisors. And then had me describe my personal brand in five words, weirdest interview question I've ever gotten
CN Rail
Data Analyst
Montreal, QC
Summer 2026No Offer
McGill University · Statistics
3rd year · 2.9-3.2 GPA · 1 past internship
Easy Interview
BehavioralVirtual
Sustainability and safety came up, part of CN's brand. Behavioral and role specific questions about working under pressure and balancing multiple priorities. Hired hundreds of students annually so the competition exists but it's not brutal
Questions Asked
1.“Write a SQL query to find the top 5 customers by total spend in each city”
Rogers
Data Analyst
Toronto, ON
Fall 2025No Offer
York University · Statistics
3rd year · 2.5-2.8 GPA · 1 past internship
Easy Interview
BehavioralVirtual
AI chatbot did the initial screening before I talked to anyone human. Then a virtual interview about handling challenges and taking responsibility for mistakes. fairly generic, nothing data specific came up at all.
Questions Asked
1.“How would you test whether the conversion rates between two segments are significantly different”
Hootsuite
Data Analyst
Vancouver, BC
Summer 2026No Offer
University of British Columbia · Data Science
2nd year · 2.9-3.2 GPA · 0 past internships
Easy Interview
BehavioralVirtualUnexpected Questions
Team interview was mostly behavioral. They asked about a project I was confident in and my least favourite school subject, caught me off guard. Applied through co-op portal. Three weeks
Questions Asked
1.“How would you detect seasonality in a time series dataset?”
Maple Leaf Sports & Entertainment (MLSE)
Data Analyst
Toronto, ON
Summer 2026No Offer
Toronto Metropolitan University · Computer Science
2nd year · 2.9-3.2 GPA · 0 past internships
Easy Interview
BehavioralIn-Person
Group interview format, about 7 of us. Got cut after round 2 no feedback
Questions Asked
1.“Explain what Simpson's paradox is. Give a real-world example”
PepsiCo
Data Analyst
Summer 2026Accepted
University of Waterloo · Business and Computer Science
4th year · 3.3-3.6 GPA · 3 past internships
EasyVirtualFast processConversational
Rank match job posting. Interviewers were nice and super chill. 1 behavioural round
RBC
Data Analyst
Summer 2026Accepted
Toronto Metropolitan University · Information Systems / IT
3rd year · 3.7+ GPA · 1 past internship
BehavioralTechnicalConversational
First interview was a behavioral interview, asking questions about resume experience, why I want to work at RBC, and some basic situational questions. The second, and final round was a simple Excel technical assessment, testing concepts of data analytics related to a sample dataset provided
Scotiabank
Data Analyst
Winter 2025Accepted
Toronto Metropolitan University · Business Technology Management
1st year · 3.3-3.6 GPA · 1 past internship
Multiple roundsResume ReviewVirtual
first round interview is a group interview with other candidates and a campus recruiter. Next round is with the managers of the team you are going to be placed in
Dye & Durham
Data Analyst
Summer 2025Accepted
Wilfrid Laurier University · Data Science
3rd year · 3.7+ GPA · 1 past internship
BehavioralConversationalVirtual
Only one interview, questions about Power BI and Excel nothing difficult. The interviewer was friendly we talked about hobbies and personal interests near the end also
Johnson & Johnson
Data Analyst
Summer 2026No Offer
IIT Madras · Computer Science
3rd year · 0 past internships
BehavioralGhostedVirtual
My first university interview applied online and they scheduled it for 45 mins. Not technical as I thought they talked about who I would be working with then question me about some tools like PowerBI and microsoft excel formulas like sumif and xlookup.
Mattamy Homes
Data Analyst
Summer 2026No Offer
Wilfrid Laurier University · Data Science
3rd year · 3.7+ GPA · 2 past internships
EasyResume ReviewVirtual
Basically just walk through everything on my resume and asking in depth which tech I used and how I used it
Dynacare
Data Analyst
Fall 2025Declined Offer
Wilfrid Laurier University · Computer Science
Alumni · 3.7+ GPA · 1 past internship
Multiple roundsResume ReviewBehavioralFast process
First Interview: HR
Second Interview: In Person
Normal questions asked about experience with PowerBI, Tableau and Python. Seemed like a great place to work, however got a better offer
Wealthsimple
Data Analyst
Toronto, ON
Summer 2026No Offer
University of Toronto · Statistics
2nd year · 2.9-3.2 GPA · 0 past internships
Hard Interview
TechnicalMultiple roundsVirtualCase study
Screening call then CoderPad for an hour. The interviewer kept nudging when you got stuck on the SQL, appreciated that. Then an in-person day with 4 sessions, they gave a mini case about using data to improve a process
Questions Asked
1.“How do you approach segment analysis to find who is driving a metric change?”
Telus
Data Analyst
Vancouver, BC
Summer 2026No Offer
University of British Columbia · Data Science
2nd year · 2.9-3.2 GPA · 0 past internships
Hard Interview
TechnicalBehavioralVirtual
Quick call on CoderPad 2 problems in 35 min. onsite had 2 more coding rounds plus behavioral. One coding round was their new AI-assisted format with a chat sidebar and multiple files, very different from a normal interview but still didn't pass
Questions Asked
1.“Write a SQL query to return the 3rd highest-value transaction in each category”
AstraZeneca
Data Analyst
Toronto, ON
Summer 2026Accepted
University of Toronto · Statistics
3rd year · 3.3-3.6 GPA · 1 past internship
Easy Interview
Pre-recordedBehavioralMultiple rounds
Smart interview recording then team interview. Behavioral and logical stuff. got the call a few days later
Questions Asked
1.“Write a SQL query to find employees who earn more than their direct manager”
ServiceNow
Data Analyst
Toronto, ON
Winter 2026No Offer
University of Waterloo · Data Science
2nd year · 2.9-3.2 GPA · 0 past internships
Easy Interview
TechnicalFast processVirtual
Aptitude test first, 15 questions. Then a Zoom with 5 to 6 behavioral questions about past projects and SQL. Heard back less than a week later with a no
Questions Asked
1.“Walk me through how you'd clean a dataset that has 30% missing values”
2.“Write a SQL query to find all customers who made more than three purchases in the past 30 days.”
RBC
Data Analyst
Winter 2026Accepted
Western University · Computer Science
3rd year · 1 past internship
EasyVirtualBehavioral
I was asked a couple behavioural questions then technical questions based on my resume nothing too difficult and no live coding
FreshBooks
Data Analyst
Toronto, ON
Summer 2025No Offer
University of Waterloo · Statistics
2nd year · 3.3-3.6 GPA · 0 past internships
Easy Interview
TechnicalVirtual
They dug deep into my past projects and specific design decisions. HR call first then the technical round.Some REST api questions too. Process felt organized and communication was good, just didn't make the cut
Questions Asked
1.“What excites you most about the opportunity at FreshBooks?”
2.“What's the difference between a histogram and a bar chart? When do you use each?”
Shoppers Drug Mart
Data Analyst
Toronto, ON
Summer 2026Accepted
University of Guelph · Computer Science
2nd year · 3.3-3.6 GPA · 0 past internships
Easy Interview
Fast processVirtual
Tell me about yourself, availability and past experience. Had the offer within a week and a half
Questions Asked
1.“Whats a funnel analysis in analytics and how do you identify drop-off points”
Bloomberg
Data Analyst
New York, NY
Winter 2025Accepted
McGill University · Commerce
3rd year · 2.9-3.2 GPA · 1 past internship
Hard Interview
TechnicalMultiple roundsPre-recorded
25 min cognitive assessment then pre-recorded video then technical phone screen then a brutal 4 hour final stage with 90 min coding and behavioral with senior managers long day.
Questions Asked
1.“What is a type I and type II error? Give a business example of each”
TD Asset Management
Data Analyst
Toronto, ON
Summer 2026Accepted
University of Waterloo · Statistics
3rd year · 3.3-3.6 GPA · 1 past internship
Average Interview
TechnicalBehavioralVirtual
SQL and Python experience mattered a lot. Technical first with accounting and portfolio attribution, then behavioral qs later on
Questions Asked
1.“What's a window function? Walk me through an example using RANK() or LAG()”
PwC
Data Analyst
Vancouver, BC
Summer 2026No Offer
Simon Fraser University · Computer Science
3rd year · 3.3-3.6 GPA · 1 past internship
Average Interview
BehavioralCase studyVirtual
The case was about a healthcare org consolidating databases after a merger. Had to think through data quality and migration priorities. Behavioral part was first but the case was the real test. They kept pushing on how I'd get teams to agree on standards. No feedback after rejection
Questions Asked
1.“What is a KPI tree and how would you use one to diagnose a business problem?”
2.“How would you calculate month-over-month growth using SQL?”
Merck
Data Analyst
Montreal, QC
Summer 2026No Offer
Concordia University · Computer Science
3rd year · 3.3-3.6 GPA · 1 past internship
Easy Interview
BehavioralVirtual
Very friendly vibe but still got rejected. Panel with three people, all behavioral
Questions Asked
1.“What's the difference between a star schema and a snowflake schema in a data warehouse”
Clio
Data Analyst
Vancouver, BC
Winter 2026No Offer
Simon Fraser University · Statistics
3rd year · 2.9-3.2 GPA · 1 past internship
Easy Interview
BehavioralVirtual
No coding at all. Recruiter call, project discussion, culture round. Rejected, said they wanted a specific background
Questions Asked
1.“How do you prioritize which insights to include in a report?”
Deloitte
Data Analyst
Vancouver, BC
Summer 2026No Offer
University of Victoria · Computer Science
3rd year · 2.9-3.2 GPA · 1 past internship
Average Interview
TechnicalVirtualMultiple rounds
They asked about security and compliance risk in my recommendation for the case, wasn't ready for that. Behavioral first then a case about a government agency migrating to cloud
Questions Asked
1.“What does statistical significance mean and how do you assess it?”
2.“How would you measure daily and monthly active user retention over time”
Sun Life Financial
Data Analyst
Toronto, ON
Winter 2026Accepted
University of Waterloo · Mathematics
Alumni · 3.3-3.6 GPA · 2 past internships
Easy Interview
ConversationalVirtual
Easiest interview I've done at a bank, pre-recorded video and then a teams call where the manager just chatted with me about my resume for 30 min
Questions Asked
1.“Explain the difference between p-value and confidence intervals in plain language”
2.“Write a SQL query to find all users active in both January and February”
Intact Insurance
Data Analyst
Montreal, QC
Summer 2026No Offer
Université Laval · Computer Science
3rd year · 3.3-3.6 GPA · 1 past internship
Average Interview
TechnicalCase studyVirtualMultiple rounds
SQL questions about policy data aggregation and a short case focused on tracking metrics for claims processing efficiency. Technical interview was with two analysts. Python came up but wasn't the focus
Questions Asked
1.“Whats the difference between a data lake and a data warehouse?”
2.“How would you design an A/B test for a new checkout flow?”
BC Public Service
Data Analyst
Victoria, BC
Summer 2026No Offer
Simon Fraser University · Computer Science
2nd year · 2.9-3.2 GPA · 0 past internships
Easy Interview
BehavioralVirtualGhosted
One Zoom round with two interviewers, just behavioral stuff questions. Described a time with a large dataset and heard nothing after for weeks
Questions Asked
1.“Tell me about a time you proactively spotted a data quality issue”
2.“How would you design a dashboard for a VP tracking weekly sales performance?”
Immigration, Refugees and Citizenship Canada (IRCC)
Data Analyst
Ottawa, ON
Winter 2026No Offer
University of Ottawa · Statistics
3rd year · 3.3-3.6 GPA · 1 past internship
Easy Interview
BehavioralVirtual
They really wanted to know what I knew about recent immigration targets and policy changes dumb for a co-op if u ask me. Behavioral interview about my data background and an example of using data to influence a decision. Competitive pool for this one
Questions Asked
1.“Whats the difference between HAVING and WHERE in SQL?”
Thomson Reuters
Data Analyst
Toronto, ON
Winter 2025No Offer
University of Waterloo · Data Science
3rd year · 3.3-3.6 GPA · 1 past internship
Easy Interview
TechnicalVirtualPoor Communication
Communication during the process was inconsistent, had to follow up a couple times to get status updates. HackerRank assessment then an interview about past projects. The project discussion was interesting at least, they had good questions about my methodology
Questions Asked
1.“Explain the difference between correlation and causation with an example”
Dayforce
Data Analyst
Toronto, ON
Summer 2025No Offer
McMaster University · Statistics
2nd year · 3.3-3.6 GPA · 0 past internships
Easy Interview
TechnicalVirtualPoor Communication
Data role covered JavaScript basics for some reason. HR interview first, then a technical screen. SQL manipulation questions too. Behavioral and personality stuff in HR. Communication from the recruiter was delayed a couple times
Questions Asked
1.“How would you build a churn prediction flag using SQL and historical data”
2.“How do you balance speed and rigor when a business partner needs a quick answer?”
Bank of Canada
Data Analyst
Ottawa, ON
Summer 2026Accepted
University of Ottawa · Statistics
4th year · 3.7+ GPA · 2 past internships
Easy Interview
BehavioralTechnicalSlow processMultiple rounds
Standard behavioral stuff, why Bank of Canada and a prioritizing tasks scenario. Panel format, rotating questioners. HR call before that was quick
Questions Asked
1.“What's the difference between DAU and MAU and what does the ratio tell you?”
Lululemon
Data Analyst
Vancouver, BC
Summer 2026Accepted
University of British Columbia · Commerce
3rd year · 3.3-3.6 GPA · 1 past internship
Easy Interview
BehavioralIn-PersonMultiple rounds
Group interview with 4 candidates and 3 supervisors watching. Scenario about structuring a community event. Then a 1 on 1 with a manager. Culture fit was easily 50 to 60% of what mattered
Questions Asked
1.“How would you find duplicate records in a database table using SQL?”