Data Analysis Interview Questions

Review this list of 117 Data Analysis interview questions and answers verified by hiring managers and candidates.

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Imagine you are a data scientist for Netflix. How would you use data to decide whether a TV series is worth renewing? Has video answer
2 years ago1 answer
Tell me about a project where you had to clean and organize a large dataset. Has video answer
9 months ago2 answers
Extract and clean a usable dataset from a provided company demo database using only SQL and Python.
8 months ago
How would you model the expected ROI of a new product launch?
9 months ago2 answers
The company observes that drivers spend significantly less active time on grocery store orders compared to convenience store orders. What next steps would you take?
8 months ago
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Tell me about a time when data helped you make a decision.
+18 months ago
Google Meet used to be available only to G Suite users and now it's widely available to everybody. How would you define success and what metrics would you use?
8 months ago
Unsold Products
13 answers
How would you visualize sales and customer usage?
a year ago1 answer
Have you ever had to work with poor-quality data or suggest new tracking? Has video answer
a year ago1 answer
How would you use data to help Snap engineering improve phone camera speed? Has video answer
a year ago1 answer
Delivery times vary significantly by city. How would you identify if it’s a partner, process, or market issue? Has video answer
a year ago
How do you approach an ambiguous request from a stakeholder?
a year ago1 answer
Top Product Lines
a year ago9 answers
Given a log file with [timestamp, customer_id, webpage], determine the top 3 most frequently visited sequences of 3 webpages across all customers.
a year ago
How would you optimize fulfillment time for grocery deliveries in high-traffic zones?
a year ago
Revenue by Customer City
a year ago9 answers
How would you evaluate whether a new feature is worth rolling out to all users?
a year ago2 answers
Assume the model needs a 20% precision improvement in 2 weeks to 1 month and you have 8 to 10 contractors. How would you approach it, what data would you use, and how would you leverage the team?
a year ago
How would you investigate a week-over-week 10% drop in successful deliveries?
a year ago

Showing 21-40 of 117

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Data Analysis Interview Questions

Imagine you are a data scientist for Netflix. How would you use data to decide whether a TV series is worth renewing? Has video answer

Tell me about a project where you had to clean and organize a large dataset. Has video answer

Extract and clean a usable dataset from a provided company demo database using only SQL and Python.

How would you model the expected ROI of a new product launch?

The company observes that drivers spend significantly less active time on grocery store orders compared to convenience store orders. What next steps would you take?

Tell me about a time when data helped you make a decision.

Google Meet used to be available only to G Suite users and now it's widely available to everybody. How would you define success and what metrics would you use?

Unsold Products

How would you visualize sales and customer usage?

Have you ever had to work with poor-quality data or suggest new tracking? Has video answer

How would you use data to help Snap engineering improve phone camera speed? Has video answer

Delivery times vary significantly by city. How would you identify if it’s a partner, process, or market issue? Has video answer

How do you approach an ambiguous request from a stakeholder?

Top Product Lines

Given a log file with [timestamp, customer_id, webpage], determine the top 3 most frequently visited sequences of 3 webpages across all customers.

How would you optimize fulfillment time for grocery deliveries in high-traffic zones?

Revenue by Customer City

How would you evaluate whether a new feature is worth rolling out to all users?

Assume the model needs a 20% precision improvement in 2 weeks to 1 month and you have 8 to 10 contractors. How would you approach it, what data would you use, and how would you leverage the team?

How would you investigate a week-over-week 10% drop in successful deliveries?

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