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Translate data into actionable insights and business decisions.
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Courses
Product Management
Ace product interviews from strategy cases to technical skills.
Engineering Management
Review key leadership and people management skills.
Software Engineering
Learn essential strategies for coding problems and more.
System Design
Define architectures, interfaces, and databases in a time crunch.
Data Science
Execute statistical techniques and experimentation effectively.
Machine Learning
Review building, evaluating, and deploying AI/ML models.
Data Engineering
Design complex data models and ETL pipelines.
Data Analytics
New
Translate data into actionable insights and business decisions.
View all courses
Questions
Product Management
Behavioral Questions
Coding Questions
System Design
SQL Questions
Machine Learning
Data Analytics
Data Engineering
Browse all questions
Practice
Coaching
Mock Interviews & Coaching
Practice with our team of senior tech coaches.
Resume Review
Get your resume reviewed by a senior tech recruiter.
Salary Negotiation
Increase your offer with our expert negotiators.
Partners
For universities
Give your students tech interview prep.
For businesses
Improve your placement rates, outcomes, and more.
For recruiters
Post a job on Exponent's exclusive job board.
Affiliate program
Recommend us to others and earn commission.
Work with us
Help us grow the Exponent community.
Pricing
More
Job Referrals
Get job referrals to top tech companies.
Company Guides
Get an inside look at top companies’ interview processes.
Interview Experiences
View real interview experiences at the hottest companies.
Blog
Check out our blog on tech interviewing tips, strategies, and more.
Resources
Members-only articles, videos, and interviews.
Work with us
Help us grow the Exponent community.
Perks
Access exclusive member benefits.
Sign up
Log in
Data Analyst Interview Prep
Data Analyst Interviews Introduction
Welcome to Exponent’s Data Analyst Interview Course!
Types of Data Analyst Roles
Data Analyst Skills
The Data Analyst Interview Loop
Full Mock: Behavioral, Analytical & SQL Questions
Technical Questions for Data Analysts
Overview
Introduction to Technical Questions
Rubric for Technical Questions
SQL
How SQL is Tested
SQL Refresher & Practice
Common SQL Mistakes
Mock: Quiz-Style, Live Scenario-Based & Behavioral SQL Questions
Excel and Google Sheets
How Excel & Google Sheets are Tested
Essential Excel & Google Sheets Skills
Data Visualization & Dashboarding
How Visualization & Dashboarding are Tested
Types of Visualizations
Dashboard Design Framework
Mock: Tell Me About a Time You Built a Dashboard
Data Analysis Process
How your Data Analysis Process Is Tested
The Analyst’s Framework for Data Analysis
Mock: Convey Insights & Methods to Non-Technical Audience
Mock: Challenges Faced in a Data Project
Mock: Clean & Organize a Large Dataset
Mock: Dealing with Poor Data or Missing Tracking
Statistics & Experimentation
How Statistics & Experimentation are Tested
How to Answer Data Preprocessing and Quality Questions
Introduction to Probability Questions
Introduction to Regression Questions
Introduction to Hypothesis Tests and Confidence Intervals Questions
Introduction to Power Analysis and Impact Sizing
Introduction to Experimentation Questions
(Optional) Python Coding
How Python is Tested
SQL Interviews
Overview
Introduction to SQL and Its History
How to Answer SQL Interview Questions
Relationships and Relational Database Concepts
Fast Track
How to Prep SQL Interviews Fast
SQL Interview Patterns
SQL Interview Test Questions
Joins & Duplicate Control
Window Functions Essentials
Grouping, Having, Conditional Aggregation & NULL-Safe Metrics
Subqueries & CTEs
Dates & Bucketing
How to Perform in a SQL Interview
Basic SQL Querying
Basic SQL Syntax
The WHERE Clause
Logical operators: AND, OR, NOT
Finding similar results with LIKE and Wildcards
Querying Missing Values with IS NULL and IS NOT NULL
Sorting data with ORDER BY
Using LIMIT and OFFSET
IN and BETWEEN
Aggregations
Introduction to SQL Aggregations
GROUP BY and HAVING
Counting with COUNT and COUNT(DISTINCT)
SUM
Calculating Average, Min, and Max with SQL
Conditional values with CASE WHEN ... ELSE
Working with Date and Time: DATE_TRUNC, DATEDIFF, and more
Joins
Joins
Inner Joins
LEFT and RIGHT Joins
Full Outer Joins
Unions
Cross Joins
Subqueries and Derived tables
Common Table Expressions (CTEs)
Window Functions
Introduction to Window Functions
Window functions: RANK and DENSE RANK
Window functions: ROW_NUMBER
Window functions: LAG
Easy Practice Questions
Introduction to SQL Practice Questions
Top Earning Employees
Monthly Post Success Analysis
High Volume Low Success
Tree Node
Marketing Campaign Duration
Find Average Purchase Value
Survey Sampling
Items on Sale
Reddit Users
Lyft Ride Requests
E-commerce: Units Ordered Yesterday
E-commerce: Units Ordered Last Week
E-commerce: Earliest Order by Customer
Medium Practice Questions
Sales by Customer City
Most Recent Transaction
Calculate Test Scores
Project Budgets
Instagram Likes
Employee Earnings
Post Success By Interface
Post Success By Age Group
Find Campaign Purchases
Find Revenue by Department
Find Customers by Department
Find Second Highest Order
Find Conversion Rates
Find Customer Lifetime Value (LTV)
Marketing Channel Attribution
Analyze Monthly Customer Transactions
Sales Report
Monthly Sales Report
Top Customer by Orders
TV Show Watch Time
Nth Ranked Player
Number of Direct Reports
Fraudulent Transactions
EPA Temperature Monitoring
Video Game Matchmaking
Walmart Inventory Status
Unique Chat Conversations
Netflix Genre Ratings
Remove Duplicate Emails
Consecutive Logins
E-commerce: Total Orders by Category
Hard Practice Questions
Total Transaction Volume
Top Salaries by Department
Employee Hierarchy
Post Success After Failure
Find Top Customer by Year
Find Monthly Revenue Growth
Initial Contact Attribution
Ranking Salary Deviations
Game Leaderboard
Amazon Order Status
Duolingo Leaderboards
Validate Bitcoin Transactions
E-commerce: Second Earliest Order
SQL Stored Procedures
Analytical Problem Solving Questions
Overview
Introduction to Analytical Problem Solving Questions
Rubric for Analytical Problem Solving Questions
Types of Analytical Problem Solving Questions
The 4 Core Question Types
Business Performance Evaluation Questions
Operational Efficiency Questions
Product/Feature Analysis Questions
Growth & Strategy Questions
Framework & Application
PACE Framework
Analytical Problem Solving Case Walkthrough
Mock Interviews
Evaluate PayPal's Business Performance
Analyze Variance in Food Delivery
Analyze Social Media App Signups
Test Impact & Viability of Expansion Before Launch
Take-home Case Studies for Data Analysts
Overview
Introduction to Take-Home Case Studies
Rubric for Take-Home Case Studies
How to Tackle Take-Home Case Studies
Framework for Take-Home Case Studies
Real Take-Home Case Study Walkthrough
Tips & Common Mistakes
Behavioral Questions for Data Analysts
Overview
Introduction to Behavioral Questions
Rubric for Behavioral Questions
Tips & Common Mistakes
Interview Techniques
Framework: The Triangle Method
The STAR Framework
Creating Your Story Bank
How To Check In With Interviewers
Mock Interviews
Why Data Analytics as a Career?
Making a Decision With a Lot of Uncertainty
Take the Lead in a Challenging Situation
Handling Vague Business Problems
Consider Your Impact
Proudest Project
Unlock full course
Data Analyst Interview Prep
Data Analyst Interviews Introduction
Welcome to Exponent’s Data Analyst Interview Course!
Types of Data Analyst Roles
Data Analyst Skills
The Data Analyst Interview Loop
Full Mock: Behavioral, Analytical & SQL Questions
Technical Questions for Data Analysts
Overview
Introduction to Technical Questions
Rubric for Technical Questions
SQL
How SQL is Tested
SQL Refresher & Practice
Common SQL Mistakes
Mock: Quiz-Style, Live Scenario-Based & Behavioral SQL Questions
Excel and Google Sheets
How Excel & Google Sheets are Tested
Essential Excel & Google Sheets Skills
Data Visualization & Dashboarding
How Visualization & Dashboarding are Tested
Types of Visualizations
Dashboard Design Framework
Mock: Tell Me About a Time You Built a Dashboard
Data Analysis Process
How your Data Analysis Process Is Tested
The Analyst’s Framework for Data Analysis
Mock: Convey Insights & Methods to Non-Technical Audience
Mock: Challenges Faced in a Data Project
Mock: Clean & Organize a Large Dataset
Mock: Dealing with Poor Data or Missing Tracking
Statistics & Experimentation
How Statistics & Experimentation are Tested
How to Answer Data Preprocessing and Quality Questions
Introduction to Probability Questions
Introduction to Regression Questions
Introduction to Hypothesis Tests and Confidence Intervals Questions
Introduction to Power Analysis and Impact Sizing
Introduction to Experimentation Questions
(Optional) Python Coding
How Python is Tested
SQL Interviews
Overview
Introduction to SQL and Its History
How to Answer SQL Interview Questions
Relationships and Relational Database Concepts
Fast Track
How to Prep SQL Interviews Fast
SQL Interview Patterns
SQL Interview Test Questions
Joins & Duplicate Control
Window Functions Essentials
Grouping, Having, Conditional Aggregation & NULL-Safe Metrics
Subqueries & CTEs
Dates & Bucketing
How to Perform in a SQL Interview
Basic SQL Querying
Basic SQL Syntax
The WHERE Clause
Logical operators: AND, OR, NOT
Finding similar results with LIKE and Wildcards
Querying Missing Values with IS NULL and IS NOT NULL
Sorting data with ORDER BY
Using LIMIT and OFFSET
IN and BETWEEN
Aggregations
Introduction to SQL Aggregations
GROUP BY and HAVING
Counting with COUNT and COUNT(DISTINCT)
SUM
Calculating Average, Min, and Max with SQL
Conditional values with CASE WHEN ... ELSE
Working with Date and Time: DATE_TRUNC, DATEDIFF, and more
Joins
Joins
Inner Joins
LEFT and RIGHT Joins
Full Outer Joins
Unions
Cross Joins
Subqueries and Derived tables
Common Table Expressions (CTEs)
Window Functions
Introduction to Window Functions
Window functions: RANK and DENSE RANK
Window functions: ROW_NUMBER
Window functions: LAG
Easy Practice Questions
Introduction to SQL Practice Questions
Top Earning Employees
Monthly Post Success Analysis
High Volume Low Success
Tree Node
Marketing Campaign Duration
Find Average Purchase Value
Survey Sampling
Items on Sale
Reddit Users
Lyft Ride Requests
E-commerce: Units Ordered Yesterday
E-commerce: Units Ordered Last Week
E-commerce: Earliest Order by Customer
Medium Practice Questions
Sales by Customer City
Most Recent Transaction
Calculate Test Scores
Project Budgets
Instagram Likes
Employee Earnings
Post Success By Interface
Post Success By Age Group
Find Campaign Purchases
Find Revenue by Department
Find Customers by Department
Find Second Highest Order
Find Conversion Rates
Find Customer Lifetime Value (LTV)
Marketing Channel Attribution
Analyze Monthly Customer Transactions
Sales Report
Monthly Sales Report
Top Customer by Orders
TV Show Watch Time
Nth Ranked Player
Number of Direct Reports
Fraudulent Transactions
EPA Temperature Monitoring
Video Game Matchmaking
Walmart Inventory Status
Unique Chat Conversations
Netflix Genre Ratings
Remove Duplicate Emails
Consecutive Logins
E-commerce: Total Orders by Category
Hard Practice Questions
Total Transaction Volume
Top Salaries by Department
Employee Hierarchy
Post Success After Failure
Find Top Customer by Year
Find Monthly Revenue Growth
Initial Contact Attribution
Ranking Salary Deviations
Game Leaderboard
Amazon Order Status
Duolingo Leaderboards
Validate Bitcoin Transactions
E-commerce: Second Earliest Order
SQL Stored Procedures
Analytical Problem Solving Questions
Overview
Introduction to Analytical Problem Solving Questions
Rubric for Analytical Problem Solving Questions
Types of Analytical Problem Solving Questions
The 4 Core Question Types
Business Performance Evaluation Questions
Operational Efficiency Questions
Product/Feature Analysis Questions
Growth & Strategy Questions
Framework & Application
PACE Framework
Analytical Problem Solving Case Walkthrough
Mock Interviews
Evaluate PayPal's Business Performance
Analyze Variance in Food Delivery
Analyze Social Media App Signups
Test Impact & Viability of Expansion Before Launch
Take-home Case Studies for Data Analysts
Overview
Introduction to Take-Home Case Studies
Rubric for Take-Home Case Studies
How to Tackle Take-Home Case Studies
Framework for Take-Home Case Studies
Real Take-Home Case Study Walkthrough
Tips & Common Mistakes
Behavioral Questions for Data Analysts
Overview
Introduction to Behavioral Questions
Rubric for Behavioral Questions
Tips & Common Mistakes
Interview Techniques
Framework: The Triangle Method
The STAR Framework
Creating Your Story Bank
How To Check In With Interviewers
Mock Interviews
Why Data Analytics as a Career?
Making a Decision With a Lot of Uncertainty
Take the Lead in a Challenging Situation
Handling Vague Business Problems
Consider Your Impact
Proudest Project
Unlock full course
Courses
Data Analyst Interview Prep
Technical Questions for Data Analysts
Data Analysis Process
Mock: Convey Insights & Methods to Non-Technical Audience
Premium
Luca (Senior Community Growth Manager @ Airbnb) answer the behavioral/data analysis process question, "How would you convey insights and the methods used to a non-technical audience?"
Next Lesson