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