Interview Query

Notion Labs Business Intelligence Interview Questions + Guide in 2025

Overview

Notion Labs is on a mission to empower every individual and organization to customize their software to tackle any challenge, with a focus on design and user experience.

The Business Intelligence role at Notion Labs is pivotal for driving data-informed decision-making within the Sales team. As the first BI Engineer, you will be responsible for constructing and maintaining dashboards and reports that track sales performance and analyze revenue trends. You will collaborate closely with the Sales organization to ensure the accuracy of sales data and provide actionable insights. Your role will also involve partnering with the Data Engineering and Data Science teams to design and build data pipelines that support these analytics.

To excel in this position, you should possess strong SQL skills, with the ability to utilize complex functions to achieve data analysis objectives. Familiarity with business intelligence tools like Tableau or Looker is essential, as is experience working with high-volume datasets in a fast-paced environment. A basic understanding of scripting languages such as Python or R will also be beneficial. Ideal candidates display a bias for efficiency, balancing speed and accuracy in their work.

This guide is designed to help you prepare for your interview at Notion Labs by providing insights into the key responsibilities and skills required for the Business Intelligence role, ensuring you approach the process with confidence and clarity.

Notion labs Business Intelligence Interview Process

The interview process for a Business Intelligence role at Notion Labs is structured and designed to assess both technical and behavioral competencies. Candidates can expect a series of interviews that evaluate their skills in data analysis, SQL proficiency, and their ability to collaborate with cross-functional teams.

1. Initial Recruiter Call

The process typically begins with a 30-minute introductory call with a recruiter. This conversation serves to gauge your interest in the role, discuss your background, and assess your fit within Notion's culture. The recruiter may ask about your previous experiences and what you are looking for in your next position.

2. Technical Screening

Following the initial call, candidates will undergo a technical screening, which may include a live coding challenge or a take-home project. This stage focuses on your SQL skills and your ability to manipulate data effectively. You might be asked to solve practical problems related to data analysis, such as building a simple dashboard or implementing specific functionalities relevant to business intelligence tasks.

3. Onsite Interviews

The onsite interview typically consists of multiple rounds, often around four to five, which include both technical and behavioral assessments. Candidates can expect to engage in coding exercises, data modeling discussions, and cross-functional interviews. The technical rounds will likely focus on SQL queries, data visualization techniques, and your experience with business intelligence tools. Behavioral interviews will explore your past experiences, problem-solving abilities, and how you handle ambiguity in a work environment.

4. Leadership Interview

In the final stages, candidates may have a conversation with a member of the leadership team, such as the Head of Data or even the CEO. This interview is designed to assess your alignment with Notion's values and your potential contributions to the company's mission. Expect questions that delve into your long-term career goals and how you envision your role within the organization.

5. Reference Check

After successfully completing the interview rounds, a reference check will be conducted to validate your previous work experiences and performance. This step is crucial for ensuring that candidates not only possess the required skills but also fit well within the team dynamics.

As you prepare for your interview, consider the types of questions that may arise during this process, focusing on your technical expertise and collaborative experiences.

Notion labs Business Intelligence Interview Questions

Practice for the Notion labs Business Intelligence interview with these recently asked interview questions.

Question
Topics
Difficulty
Ask Chance
Statistics
Medium
Very High
SQL
Medium
Very High
Dwteiou Rcdmszi Qwufjtbk
Analytics
Hard
High
Qcdwllmm Gltxxd Zoqk Vvji
Machine Learning
Easy
Medium
Llbbqx Wviodma Vwpvbb
Machine Learning
Hard
Very High
Bqatf Nosnndvg Ckcitly Riqpfnc
Analytics
Easy
Medium
Voum Bdou
Analytics
Medium
Very High
Falcrhhy Yqxcmmwa Gavkvnhn Qhojjeza Ihop
Analytics
Medium
Medium
Bfhpkyeq Ccqvs
Analytics
Hard
Low
Pkzkvc Qrdxo Mxip Bezp
SQL
Hard
Low
Pjktqig Rsdibf
SQL
Medium
Low
Vnfzzg Mnuam Xsapmcqp
Machine Learning
Medium
High
Dxsptv Vbmnf Pzzc Uqinhkx
Analytics
Hard
Very High
Uqqw Zhzvoy
SQL
Medium
High
Wygvclu Sfmuzp Tjcmry Eimhg
SQL
Easy
Medium
Jagryv Dhjhfb Mpjbjk Iychrpwk
Analytics
Medium
Medium
Fappq Onxaqfn Uxcpj
Machine Learning
Easy
Very High
Zcpblt Anfe
Analytics
Hard
Medium
Lvcmqsl Sbxcfry
SQL
Easy
High
Loading pricing options

View all Notion labs Business Intelligence questions

Notion labs Business Intelligence Jobs

Software Engineer Machine Learning
Software Engineer Growth
Software Engineer Trust
Software Engineer Machine Learning
Software Engineer Core Product
Software Engineer Data Platform
Software Engineer Machine Learning
Product Manager Growth
Product Manager Ai Products
Software Engineer Native Windows Development