WeWork Business Intelligence Interview Questions + Guide in 2025

WeWork provides inspiring and flexible workplace solutions to help businesses thrive globally in over 150 cities.

The Business Intelligence role at WeWork is pivotal in leveraging analytics to drive growth and efficiency within the organization. Key responsibilities include defining and developing crucial business metrics in collaboration with various stakeholders, ensuring the integrity of data, and serving as a cross-functional data subject matter expert. A successful candidate will possess a strong background in SQL, experience with modern data stack tools, and a solid understanding of data structures. The ability to navigate ambiguity and translate complex data into actionable insights is essential for supporting strategic decision-making. Furthermore, a passion for understanding business needs and contributing to the company's evolution aligns perfectly with WeWork’s mission to empower tomorrow's world at work.

This guide will equip you with insights into the role's expectations and the skills necessary to stand out during your interview process.

The interview process for a Business Intelligence role at WeWork is structured to assess both technical skills and cultural fit within the organization. It typically consists of several stages, each designed to evaluate different aspects of a candidate's qualifications and alignment with WeWork's values.

1. Initial Phone Screen

The process begins with an initial phone screen conducted by a recruiter. This conversation usually lasts about 30 minutes and focuses on understanding your background, experience, and motivation for applying to WeWork. Expect to discuss your familiarity with business intelligence concepts, your analytical skills, and how your previous experiences align with the role.

2. Technical Assessment

Following the initial screen, candidates typically undergo a technical assessment. This may involve a coding exercise or a SQL test, where you will be asked to demonstrate your ability to write and interpret complex SQL queries. The assessment may be conducted live or as a take-home assignment, depending on the recruiter’s preference. Be prepared to showcase your understanding of data structures and your ability to solve analytical problems.

3. Behavioral Interview

After successfully completing the technical assessment, candidates will participate in a behavioral interview. This round often involves meeting with a hiring manager or team lead, where you will be asked questions about your past experiences, how you handle ambiguity, and your approach to collaboration with cross-functional teams. The goal is to assess your fit within WeWork's culture and your ability to work autonomously while supporting stakeholders' data needs.

4. Onsite Interview

The final stage typically includes an onsite interview, which may consist of multiple rounds with different team members. During this phase, you can expect a mix of technical and behavioral questions, as well as discussions about your approach to defining key business metrics and supporting data integrity. You may also be asked to present a case study or a project you have worked on, demonstrating your analytical skills and business acumen.

Throughout the process, candidates are encouraged to ask questions about the team dynamics, company culture, and the specific challenges the Business Intelligence team is currently facing.

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

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

Prepare for Behavioral Questions

WeWork places a strong emphasis on cultural fit, so be ready to discuss your experiences in a way that aligns with their values. Expect questions like "Tell me about yourself" and "Why do you want to work at WeWork?" to gauge your passion for the company and your understanding of its mission. Reflect on your past experiences and how they relate to the role, particularly in terms of collaboration and problem-solving in ambiguous situations.

Master SQL and Data Modeling

Given the high importance of SQL in this role, ensure you are well-versed in writing complex queries. Practice common SQL problems, especially those that involve data manipulation and aggregation. Additionally, familiarize yourself with data modeling concepts and be prepared to discuss how you have built and maintained data models in previous roles. This will demonstrate your technical proficiency and ability to contribute to the team immediately.

Embrace the Ambiguity

WeWork operates in a fast-paced environment where ambiguity is common. Be prepared to discuss how you handle uncertain situations and make decisions with limited information. Share specific examples from your past where you successfully navigated ambiguity, showcasing your analytical skills and ability to drive results despite challenges.

Showcase Cross-Functional Collaboration

As a Business Intelligence Engineer, you will need to work closely with various teams. Highlight your experience in collaborating with cross-functional stakeholders, particularly in understanding their data needs and delivering actionable insights. Be ready to discuss how you have acted as a liaison between technical and non-technical teams in previous roles.

Be Ready for Technical Assessments

Expect to face technical assessments that may include SQL exercises or case studies relevant to business intelligence. Practice coding challenges and be prepared to explain your thought process clearly. If you encounter a technical question during the interview, take a moment to think through your answer and communicate your reasoning effectively.

Understand WeWork's Business Model

Familiarize yourself with WeWork's business model and the challenges it faces in the current market. This knowledge will allow you to tailor your responses to demonstrate how your skills can help address these challenges. Discussing specific metrics or KPIs relevant to WeWork's operations can also show your proactive approach and understanding of the company's goals.

Follow Up Professionally

After your interview, send a thoughtful follow-up email to express your gratitude for the opportunity and reiterate your interest in the role. This not only shows professionalism but also keeps you on the interviewers' radar. If you have any additional insights or thoughts that came to mind after the interview, feel free to include them in your follow-up.

By preparing thoroughly and aligning your experiences with WeWork's values and needs, you can position yourself as a strong candidate for the Business Intelligence role. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Business Intelligence interview at WeWork. The interview process will likely focus on your analytical skills, experience with SQL, and ability to work with cross-functional teams. Be prepared to discuss your past experiences, technical skills, and how you approach problem-solving in ambiguous situations.

Experience and Background

1. Tell us about your experience with project-based work and how you manage multiple priorities.

This question aims to assess your ability to juggle various tasks and projects effectively.

How to Answer

Discuss specific projects you've worked on, emphasizing your role, the challenges faced, and how you prioritized tasks to meet deadlines.

Example

“In my previous role, I managed multiple projects simultaneously, including a data migration project and a dashboard development for sales metrics. I utilized project management tools to track progress and set clear priorities, which allowed me to deliver both projects on time while maintaining high-quality standards.”

Analytical Skills

2. How do you approach ambiguity in your work?

This question evaluates your problem-solving skills and adaptability in uncertain situations.

How to Answer

Explain your thought process when faced with unclear requirements or data. Highlight your ability to gather information, consult with stakeholders, and make informed decisions.

Example

“When I encounter ambiguity, I first seek to clarify the objectives by consulting with stakeholders. I gather as much information as possible and analyze existing data to identify patterns. This approach helps me make informed decisions and propose solutions that align with business goals.”

3. Can you describe a time when you identified a key business metric that significantly impacted decision-making?

This question assesses your ability to derive insights from data and influence business strategies.

How to Answer

Share a specific example where your analysis led to the identification of a crucial metric, explaining its relevance and the impact it had on the organization.

Example

“In my last position, I identified that our customer retention rate was declining. By analyzing the data, I discovered that response times to customer inquiries were a significant factor. I presented my findings to management, which led to the implementation of a new customer service protocol that improved retention by 15% over six months.”

Technical Skills

4. What is your experience with SQL, and can you provide an example of a complex query you’ve written?

This question tests your technical proficiency with SQL, which is crucial for the role.

How to Answer

Discuss your experience with SQL, including the types of queries you’ve written and the context in which you used them. Provide a specific example of a complex query.

Example

“I have extensive experience with SQL, including writing complex queries for data analysis. For instance, I created a query that joined multiple tables to calculate the average sales per customer over a specific period, which involved using window functions and subqueries to ensure accuracy.”

5. How do you ensure data integrity in your analyses?

This question evaluates your attention to detail and understanding of data quality.

How to Answer

Explain the steps you take to validate data, including any tools or processes you use to ensure accuracy and reliability.

Example

“To ensure data integrity, I implement a multi-step validation process. I cross-reference data from different sources, use automated scripts to check for anomalies, and regularly audit data sets. This approach helps me maintain a high level of accuracy in my analyses.”

Cross-Functional Collaboration

6. Describe a situation where you had to collaborate with cross-functional teams. How did you ensure effective communication?

This question assesses your teamwork and communication skills.

How to Answer

Share an example of a project where you worked with different teams, highlighting how you facilitated communication and collaboration.

Example

“In a recent project, I collaborated with the sales and marketing teams to develop a new reporting dashboard. I scheduled regular check-ins to gather feedback and ensure everyone was aligned on objectives. By fostering open communication, we were able to deliver a tool that met the needs of all stakeholders.”

7. What tools or technologies have you used for data visualization, and how do you choose the right one for a project?

This question evaluates your experience with data visualization tools and your decision-making process.

How to Answer

Discuss the tools you’ve used, your criteria for selecting them, and how they contributed to your projects.

Example

“I have experience with Tableau and Looker for data visualization. I choose the tool based on the project requirements, such as the complexity of the data and the audience's familiarity with the tool. For instance, I used Tableau for a project that required interactive dashboards, as it allowed for more dynamic visualizations that engaged stakeholders effectively.”