Looker Data Analyst Interview Questions + Guide in 2025

Looker is a powerful data analytics platform that empowers teams to explore, analyze, and visualize data in real-time to drive better business decisions.

As a Data Analyst at Looker, you will be integral to transforming raw data into actionable insights that support strategic initiatives. Your key responsibilities will include conducting in-depth data analysis, creating comprehensive reports, and collaborating closely with cross-functional teams to identify trends and opportunities. You will leverage your expertise in SQL to manipulate and query large datasets, ensuring data integrity and accuracy.

A successful candidate will possess strong analytical skills, attention to detail, and a passion for data storytelling. Experience with visualization tools and an understanding of business intelligence concepts will be advantageous in this role. Looker values curiosity and collaboration, so demonstrating a proactive approach to problem-solving and a willingness to learn will set you apart from other candidates.

This guide will equip you with the knowledge and insights necessary to excel in your job interview, giving you the confidence to showcase your skills and align with Looker's mission and values.

The interview process for a Data Analyst position at Looker is structured to assess both technical skills and cultural fit within the team. The process typically unfolds as follows:

1. Initial Phone Screen

The first step is an initial phone screen, which usually lasts about 30 minutes. This conversation is often casual and focuses on your background, interest in Looker, and how your skills align with the role. Expect to discuss your understanding of Looker's software and services, as well as your motivations for applying.

2. Technical Phone Screen

Following the initial screen, candidates typically undergo a technical phone interview. This session is more focused on assessing your SQL knowledge and analytical skills. You may be asked to solve basic SQL problems, such as explaining the differences between various types of joins. This is an opportunity to demonstrate your technical proficiency and problem-solving approach.

3. Technical Homework Assignment

In some cases, candidates may be required to complete a technical homework assignment before moving on to the next stage. This assignment is designed to evaluate your analytical capabilities and how you approach data-related tasks. It usually has a one-week deadline for completion.

4. Onsite Interviews

The onsite interview process generally consists of multiple rounds, often around five to six interviews with team members of varying seniority. These interviews typically include a mix of technical assessments, such as SQL tests, and behavioral questions. The atmosphere is usually friendly and collaborative, allowing candidates to engage with interviewers and ask questions about the team and company culture.

5. Final Interviews

In the final stage, candidates may meet with higher-level executives, such as the director or even the founder. This round is often more conversational, focusing on strategic discussions and insights about the role and the company. It’s a chance for both parties to gauge fit and alignment with Looker’s values.

As you prepare for your interview, consider the types of questions that may arise during these stages.

Here are some tips to help you excel in your interview.

Understand the Interview Structure

The interview process at Looker typically involves multiple stages, including phone screenings, technical assessments, and on-site interviews. Be prepared for a technical homework assignment that may require you to demonstrate your SQL skills. Familiarize yourself with the common structure of interviews, as candidates often experience a mix of technical and behavioral questions. Knowing what to expect will help you feel more confident and organized.

Master SQL Fundamentals

SQL is a critical skill for a Data Analyst role at Looker. Brush up on your knowledge of SQL, particularly focusing on joins (left, right, inner), subqueries, and aggregate functions. Practice writing queries that solve real-world problems, as you may be asked to complete a technical test during the interview. Being able to articulate your thought process while solving SQL problems will showcase your analytical skills and problem-solving abilities.

Prepare for Behavioral Questions

Looker values a collaborative and friendly culture, so expect a significant portion of your interviews to focus on behavioral questions. Prepare to discuss your past experiences, how you handle challenges, and your approach to teamwork. Use the STAR (Situation, Task, Action, Result) method to structure your responses, ensuring you provide clear and concise examples that highlight your skills and fit for the role.

Engage with Your Interviewers

Interviews at Looker are often described as two-way conversations. Be proactive in asking questions about the team, company culture, and specific projects you might be working on. This not only demonstrates your interest in the role but also helps you assess if Looker is the right fit for you. Prepare thoughtful questions that reflect your research about the company and its products.

Be Yourself and Stay Positive

While technical skills are essential, Looker also values personality and cultural fit. Be authentic in your responses and let your enthusiasm for the role and the company shine through. Even if you encounter a less-than-ideal interview experience, maintain a positive attitude and focus on showcasing your strengths. Remember, the interview is as much about you evaluating the company as it is about them evaluating you.

Follow Up Thoughtfully

After your interviews, consider sending a personalized thank-you note to your interviewers. Express your appreciation for their time and reiterate your interest in the role. This small gesture can leave a lasting impression and demonstrate your professionalism and enthusiasm for the opportunity.

By following these tips, you can approach your interview at Looker with confidence and clarity, setting yourself up for success in securing the Data Analyst position. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Data Analyst interview at Looker. The interview process will likely assess your technical skills, particularly in SQL, as well as your ability to communicate effectively and work collaboratively within a team. Be prepared to discuss your experiences and how they align with Looker's values and mission.

Technical Skills

1. Can you explain the difference between a LEFT JOIN and a RIGHT JOIN in SQL?

Understanding SQL joins is crucial for a Data Analyst role, as they are fundamental to data manipulation and retrieval.

How to Answer

Clearly define both types of joins and provide a brief example of when you would use each.

Example

“A LEFT JOIN returns all records from the left table and the matched records from the right table. If there is no match, NULL values are returned for columns from the right table. Conversely, a RIGHT JOIN returns all records from the right table and the matched records from the left table. I would use a LEFT JOIN when I want to ensure all records from the left table are included, regardless of whether there is a match in the right table.”

2. Describe a complex SQL query you have written. What was the purpose, and what challenges did you face?

This question assesses your practical experience with SQL and your problem-solving skills.

How to Answer

Discuss the context of the query, the specific SQL functions you used, and how you overcame any challenges.

Example

“I wrote a complex SQL query to analyze customer purchase patterns over the last year. The challenge was aggregating data from multiple tables while ensuring the performance was optimal. I utilized CTEs to break down the query into manageable parts, which made it easier to debug and optimize.”

3. How do you approach data cleaning and preparation?

Data preparation is a critical step in data analysis, and interviewers want to know your methodology.

How to Answer

Outline your process for identifying and correcting data quality issues, and mention any tools or techniques you use.

Example

“I start by assessing the dataset for missing values, duplicates, and inconsistencies. I use tools like Python’s Pandas library for data manipulation and visualization to identify patterns. Once I identify issues, I apply appropriate techniques such as imputation for missing values and normalization for inconsistent data formats.”

4. What is your experience with data visualization tools? Which do you prefer and why?

Data visualization is key for presenting insights, and your familiarity with tools will be evaluated.

How to Answer

Mention specific tools you have used, your preferred choice, and the reasons for your preference.

Example

“I have experience with Tableau and Looker for data visualization. I prefer Looker because of its integration capabilities with SQL and its user-friendly interface, which allows for dynamic dashboards that can be easily shared with stakeholders.”

Behavioral Questions

1. Describe a time when you had to work with a difficult team member. How did you handle it?

This question evaluates your interpersonal skills and ability to navigate team dynamics.

How to Answer

Provide a specific example, focusing on your approach to communication and conflict resolution.

Example

“In a previous project, I worked with a team member who was resistant to feedback. I scheduled a one-on-one meeting to discuss our differing perspectives. By actively listening and acknowledging their concerns, we were able to find common ground and improve our collaboration.”

2. How do you prioritize your tasks when working on multiple projects?

Time management is essential for a Data Analyst, and interviewers want to see your organizational skills.

How to Answer

Discuss your method for prioritizing tasks, including any tools or frameworks you use.

Example

“I use a combination of the Eisenhower Matrix and project management tools like Trello to prioritize my tasks. I assess the urgency and importance of each task, which helps me focus on high-impact activities while ensuring deadlines are met.”

3. Can you give an example of how you used data to influence a decision?

This question assesses your ability to leverage data for strategic decision-making.

How to Answer

Share a specific instance where your analysis led to actionable insights and influenced a decision.

Example

“I analyzed customer feedback data to identify trends in product dissatisfaction. My findings revealed that a specific feature was causing issues for users. I presented this data to the product team, which led to a redesign of the feature, ultimately improving customer satisfaction scores.”

4. How would your friends describe you?

This question aims to gauge your self-awareness and how you perceive your interpersonal skills.

How to Answer

Reflect on your strengths and how they relate to teamwork and collaboration.

Example

“My friends would describe me as approachable and supportive. They often come to me for advice because I’m a good listener and I strive to provide constructive feedback. I believe these qualities help me foster a positive team environment.”