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Product Analyst Interview Prep

Product Analytics Interview Introduction

Welcome to Exponent's Product Analyst Interview Course

The Product Analyst Interview Loop Full Mock: Behavioral, Analytical & SQL Questions

Technical Questions for Data Analysts

Introduction to Technical Questions Rubric for Technical Questions

How SQL is Tested

SQL Refresher & Practice Common SQL Mistakes Mock: Quiz-Style, Live Scenario-Based & Behavioral SQL Questions

How Excel & Google Sheets are Tested Essential Excel & Google Sheets Skills

How Visualization & Dashboarding are Tested Types of Visualizations Dashboard Design Framework Mock: Tell Me About a Time You Built a Dashboard

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

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

How Python is Tested

SQL Interviews

Introduction to SQL and Its History How to Answer SQL Interview Questions Relationships and Relational Database Concepts

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 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

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 Inner Joins LEFT and RIGHT Joins Full Outer Joins Unions Cross Joins Subqueries and Derived tables Common Table Expressions (CTEs)

Introduction to Window Functions Window functions: RANK and DENSE RANK Window functions: ROW_NUMBER Window functions: LAG

Introduction to SQL Practice Questions Top Earning Employees

Monthly Post Success Analysis

High Volume Low Success

Marketing Campaign Duration

Find Average Purchase Value

Survey Sampling

Lyft Ride Requests

E-commerce: Units Ordered Yesterday

E-commerce: Units Ordered Last Week

E-commerce: Earliest Order by Customer

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

Introduction to Analytical Problem Solving Questions Rubric for Analytical Problem Solving Questions

The 4 Core Question Types Business Performance Evaluation Questions Operational Efficiency Questions Product/Feature Analysis Questions Growth & Strategy Questions

PACE Framework Analytical Problem Solving Case Walkthrough

Evaluate PayPal's Business Performance Analyze Variance in Food Delivery Test Impact & Viability of Expansion Before Launch

Take-home Case Studies for Data Analysts

Introduction to Take-Home Case Studies Rubric for Take-Home Case Studies

Framework for Take-Home Case Studies Real Take-Home Case Study Walkthrough Tips & Common Mistakes

Product Sense Questions for Product Analysts

Introduction to Product Sense

Introduction to Analytical Questions How to Answer A/B Testing Questions How to Answer Metrics Questions Rubric for Analytical Interviews Instagram Reels Success Metrics A/B Test Google's Homepage Pick YouTube's Key Metrics More Analytical/Execution Practice

Introduction to Product Design Questions How to Answer Product Design Questions Brainstorming Product Ideas Rubric for Product Design Interviews

Design Facebook Movies Improve Headspace Design Audio Product for Meta

More Product Sense Practice

Behavioral Questions for Data Analysts

Introduction to Behavioral Questions Rubric for Behavioral Questions Tips & Common Mistakes

Framework: The Triangle Method The STAR Framework Creating Your Story Bank How To Check In With Interviewers

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

Product Analyst Interview Prep

Product Analytics Interview Introduction

Welcome to Exponent's Product Analyst Interview Course

The Product Analyst Interview Loop Full Mock: Behavioral, Analytical & SQL Questions

Technical Questions for Data Analysts

Introduction to Technical Questions Rubric for Technical Questions

How SQL is Tested

SQL Refresher & Practice Common SQL Mistakes Mock: Quiz-Style, Live Scenario-Based & Behavioral SQL Questions

How Excel & Google Sheets are Tested Essential Excel & Google Sheets Skills

How Visualization & Dashboarding are Tested Types of Visualizations Dashboard Design Framework Mock: Tell Me About a Time You Built a Dashboard

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

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

How Python is Tested

SQL Interviews

Introduction to SQL and Its History How to Answer SQL Interview Questions Relationships and Relational Database Concepts

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 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

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 Inner Joins LEFT and RIGHT Joins Full Outer Joins Unions Cross Joins Subqueries and Derived tables Common Table Expressions (CTEs)

Introduction to Window Functions Window functions: RANK and DENSE RANK Window functions: ROW_NUMBER Window functions: LAG

Introduction to SQL Practice Questions Top Earning Employees

Monthly Post Success Analysis

High Volume Low Success

Marketing Campaign Duration

Find Average Purchase Value

Survey Sampling

Lyft Ride Requests

E-commerce: Units Ordered Yesterday

E-commerce: Units Ordered Last Week

E-commerce: Earliest Order by Customer

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

Introduction to Analytical Problem Solving Questions Rubric for Analytical Problem Solving Questions

The 4 Core Question Types Business Performance Evaluation Questions Operational Efficiency Questions Product/Feature Analysis Questions Growth & Strategy Questions

PACE Framework Analytical Problem Solving Case Walkthrough

Evaluate PayPal's Business Performance Analyze Variance in Food Delivery Test Impact & Viability of Expansion Before Launch

Take-home Case Studies for Data Analysts

Introduction to Take-Home Case Studies Rubric for Take-Home Case Studies

Framework for Take-Home Case Studies Real Take-Home Case Study Walkthrough Tips & Common Mistakes

Product Sense Questions for Product Analysts

Introduction to Product Sense

Introduction to Analytical Questions How to Answer A/B Testing Questions How to Answer Metrics Questions Rubric for Analytical Interviews Instagram Reels Success Metrics A/B Test Google's Homepage Pick YouTube's Key Metrics More Analytical/Execution Practice

Introduction to Product Design Questions How to Answer Product Design Questions Brainstorming Product Ideas Rubric for Product Design Interviews

Design Facebook Movies Improve Headspace Design Audio Product for Meta

More Product Sense Practice

Behavioral Questions for Data Analysts

Introduction to Behavioral Questions Rubric for Behavioral Questions Tips & Common Mistakes

Framework: The Triangle Method The STAR Framework Creating Your Story Bank How To Check In With Interviewers

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

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?"

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