10x Genomics pioneers in single-cell and spatial transcriptomics technology, with its innovative solutions used globally in advanced research labs and healthcare. The company constantly pushes boundaries in genomics, delivering transformative insights and driving significant advancements in biological research.

Joining 10x Genomics as a Business Analyst invites you to an environment of cutting-edge technology and innovative projects. The role demands strong capabilities in data analytics, business strategy, and problem-solving, aimed at driving data-informed decisions and optimizing business operations. As a Business Analyst, your input can significantly impact the company's strategic initiatives and market positioning.

If you are preparing to join this impactful company, our guide is for you. We will navigate you through the interview stages, common questions, and essential tips to succeed as a Business Analyst at 10x Genomics. Let's dive in and get you prepared!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining 10X Genomics as a Business Analyst. Whether you were contacted by a 10X Genomics recruiter or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the 10X Genomics Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.

In some cases, the 10X Genomics Business Analyst hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the 10X Genomics Business Analyst role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around 10X Genomics’ data systems, ETL pipelines, and SQL queries.

In the case of Business Analyst roles, take-home assignments regarding product metrics, analytics, and data visualization are incorporated. Apart from these, your proficiency against hypothesis testing, probability distributions, and business intelligence fundamentals may also be assessed during the round.

Depending on the seniority of the position, case studies and similar real-scenario problems may also be assigned.

Onsite Interview Rounds

Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your day at the 10X Genomics office. Your technical prowess, including programming and BI modeling capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the Business Analyst role at 10X Genomics.

Quick Tips For 10X Genomics Business Analyst Interviews

• Understand 10X Genomics’ Products: Questions may focus on company-specific products and their applications. Deepen your knowledge of 10X Genomics’ offerings and think about how you could contribute to their growth.
• Be Analytical: The role demands a keen analytical mind. Enhance your problem-solving skills by practicing data analysis, SQL queries, and interpreting business metrics.
• Showcase Business Acumen: Illustrate your understanding of the industry and market trends. Have examples ready that demonstrate your ability to drive business decisions based on data-driven insights.

Typically, interviews at 10X Genomics vary by role and team, but commonly Business Analyst interviews follow a fairly standardized process across these question topics.

• Write a function calculate_rmse to calculate the root mean squared error of a regression model. The function should take in two lists, one that represents the predictions y_pred and another with the target values y_true.

• Write a query to get the last transaction for each day from a table of bank transactions. Given a table of bank transactions with columns id, transaction_value, and created_at, write a query to get the last transaction for each day. The output should include the id of the transaction, datetime of the transaction, and the transaction amount. Order the transactions by datetime.

• Write a function random_key that returns a key at random with a probability proportional to the weights. Given a dictionary with weights, write a function random_key that returns a key at random with a probability proportional to the weights.

• Write a function to get a sample from a standard normal distribution. Create a function to generate a sample from a standard normal distribution.

• Write an efficient function nearest_entries to find the closest element to N and its k-next and k-previous elements in a sorted list. Given a sorted list of integers ints with no duplicates, write an efficient function nearest_entries that takes in integers N and k and returns the element closest to N along with the k-next and k-previous elements of the list.

• How would you analyze the churn behavior of users on different Netflix pricing plans? Netflix has two pricing plans: $15/month or $100/year. An executive wants to understand the churn behavior of users on these plans. What metrics, graphs, and models would you build to provide an overarching view of subscription performance?

• How would you predict which merchants DoorDash should acquire in a new market? As a data scientist at DoorDash, you need to build a model to predict which merchants the company should target for acquisition when entering a new market. How would you approach this task?

• How would you value the benefit of keeping a hit TV show on Netflix? Netflix executives are considering renewing a deal with another TV network for exclusive streaming rights to a hit TV series. The show has been on Netflix for a year. How would you approach valuing the benefit of keeping this show on Netflix?

• How would you measure and address the success of LinkedIn’s newsfeed ranking algorithm?

• How would you measure the success of LinkedIn’s newsfeed ranking algorithm?

• If some success metrics for the newsfeed algorithm are improving while others are declining, how would you approach this situation?

• How would you determine the statistical significance of an AB test for a landing page redesign? You want to launch a redesign of a landing page to improve the click-through rate using an AB test. How would you infer if the results of the click-through rate were statistically significant or not?

• How would you explain what a p-value is to someone who is not technical? Explain the concept of a p-value in simple terms to a non-technical person. Use analogies or everyday examples to make the explanation clear and understandable.

• How many more samples are needed to decrease the margin of error from 3 to 0.3? Given a sample size (n) with a margin of error of 3, calculate the additional number of samples required to reduce the margin of error to 0.3.

• How would you determine if the results of an AB test on click-through rate are statistically significant? Describe the process of analyzing AB test results to determine if the observed differences in click-through rates are statistically significant. Include steps such as hypothesis testing and p-value calculation.

• How would you build a model to predict which merchants DoorDash should acquire in a new market? As a data scientist at DoorDash, how would you develop a model to identify which merchants the company should target for acquisition when entering a new market?

• How would you assign point values to letters in Spanish Scrabble without knowing Spanish? If tasked with building Scrabble for Spanish users and you don't know Spanish, how would you determine the point values for each letter?

If you want more insights about the company, check out our main 10X Genomics Interview Guide, where we have covered many interview questions that could be asked. We’ve also created interview guides for other roles, such as software engineer and data analyst, where you can learn more about 10X Genomics’s interview process for different positions.

At Interview Query, we empower you to unlock your interview prowess with a comprehensive toolkit, equipping you with the knowledge, confidence, and strategic guidance to conquer every 10X Genomics Business Analyst interview question and challenge.

You can check out all our company interview guides for better preparation, and if you have any questions, don’t hesitate to reach out to us.

Good luck with your interview!