Verily Product Analyst Interview Questions + Guide in 2025

Verily is a pioneering healthcare technology company under Alphabet, dedicated to transforming health management through a data-driven approach.

As a Product Analyst in the Clinical Research team, you will play a crucial role in analyzing and reporting on various aspects of clinical trials and registries. Your key responsibilities will include developing insightful metrics and dashboards to visualize critical data, managing SQL pipelines, and providing analytical oversight on specific studies. You will collaborate with cross-functional teams to define key performance indicators and ensure that data-driven insights are actionable and impactful. Ideal candidates will have a strong background in analytics, particularly in SQL and statistical analysis, along with a passion for healthcare and research. The ability to navigate ambiguity and work independently while fostering strong relationships with diverse teams will set you apart at Verily, where innovation and collaboration are central to our mission.

This guide aims to equip you with the knowledge and confidence to excel in your interview by anticipating the types of questions you may face and highlighting the skills and experiences that Verily values most.

The interview process for the Product Analyst role at Verily is designed to assess both technical skills and cultural fit within the organization. The process typically consists of several stages, each focusing on different aspects of the candidate's qualifications and experiences.

1. Initial Screening

The first step in the interview process is an initial screening, which usually takes place via a phone call with a recruiter. This conversation lasts about 30 minutes and serves to introduce the candidate to Verily's mission and values. The recruiter will inquire about the candidate's background, relevant experiences, and motivations for applying. This is also an opportunity for candidates to ask questions about the company culture and the specifics of the Product Analyst role.

2. Technical Assessment

Following the initial screening, candidates will undergo a technical assessment, which may be conducted through a video call. This assessment focuses on the candidate's analytical skills, particularly in SQL and data visualization. Candidates can expect to work through practical exercises that demonstrate their ability to create dashboards and analyze data relevant to clinical research. The assessment may also include discussions around metrics and product performance, allowing candidates to showcase their understanding of the healthcare landscape.

3. Behavioral Interviews

Candidates who successfully pass the technical assessment will move on to a series of behavioral interviews. These interviews typically involve multiple rounds with different team members, including product managers, data scientists, and other analysts. Each interview lasts approximately 45 minutes and focuses on the candidate's past experiences, problem-solving abilities, and how they work within cross-functional teams. Candidates should be prepared to discuss specific projects they have worked on, their approach to collaboration, and how they handle challenges in a fast-paced environment.

4. Final Interview

The final stage of the interview process may include a presentation or case study where candidates are asked to analyze a specific dataset or scenario relevant to Verily's work. This is an opportunity for candidates to demonstrate their analytical thinking, creativity, and ability to communicate insights effectively. The final interview may also involve discussions about the candidate's long-term career goals and how they align with Verily's mission.

As you prepare for your interview, it's essential to familiarize yourself with the types of questions that may be asked during each stage of the process.

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

Understand the Intersection of Health and Technology

Verily operates at the cutting edge of healthcare and technology. Familiarize yourself with how data-driven approaches are transforming healthcare delivery. Be prepared to discuss how your analytical skills can contribute to this mission. Highlight any relevant experience you have in healthcare or technology, and be ready to articulate how you can leverage data to improve health outcomes.

Master Product Metrics and SQL

Given the emphasis on product metrics and SQL in this role, ensure you are well-versed in both. Brush up on your SQL skills, focusing on creating complex queries and managing data pipelines. Be prepared to discuss how you have used SQL in past projects to derive insights or support decision-making. Additionally, understand key product metrics relevant to clinical research, such as recruitment rates and participant engagement, and be ready to discuss how you would approach analyzing these metrics.

Showcase Your Analytical Mindset

As a Product Analyst, you will be expected to turn partner questions into actionable insights. Prepare examples from your past experience where you successfully tackled complex analytical challenges. Use the STAR (Situation, Task, Action, Result) method to structure your responses, emphasizing your thought process and the impact of your work. This will demonstrate your ability to think critically and provide data-driven recommendations.

Highlight Your Experience with Dashboards and BI Tools

Experience with BI tools like Tableau or Looker is a plus for this role. If you have created dashboards in the past, be ready to discuss the design process, the metrics you chose to visualize, and how these dashboards were used to inform decision-making. If you have experience with DBT, mention it, as it aligns with the role's requirements and shows your technical proficiency.

Embrace the Startup Mentality

Verily values a nimble, startup mentality. Be prepared to discuss how you have navigated ambiguity in previous roles and your approach to problem-solving in fast-paced environments. Share examples of how you have collaborated with cross-functional teams to drive projects forward, emphasizing your adaptability and willingness to pitch in wherever needed.

Align with Verily's Culture and Values

Verily places a strong emphasis on inclusion, belonging, and collective accountability. Familiarize yourself with their values and be prepared to discuss how you embody these principles in your work. Share experiences that demonstrate your commitment to collaboration and respect for individuals, as this will resonate with the interviewers and show that you are a good cultural fit.

Prepare Thoughtful Questions

Finally, prepare insightful questions to ask your interviewers. Inquire about the specific challenges the team is currently facing, how success is measured in the role, and opportunities for professional growth within the company. This not only shows your genuine interest in the position but also helps you assess if Verily is the right fit for you.

By following these tips, you will be well-prepared to showcase your skills and align with Verily's mission, increasing your chances of success in the interview process. Good luck!

Verily Product Analyst Interview Questions

In this section, we’ll review the various interview questions that might be asked during a Verily Product Analyst interview. The interview will focus on your analytical skills, experience with SQL, understanding of product metrics, and ability to derive insights from data. Be prepared to discuss your past experiences and how they relate to the responsibilities outlined in the job description.

Product Metrics

1. How do you define and measure success for a product in a clinical research setting?

Understanding how to define success metrics is crucial for a Product Analyst role, especially in healthcare.

How to Answer

Discuss specific metrics you would consider, such as participant engagement rates, retention rates, and overall product usage. Emphasize the importance of aligning these metrics with the goals of the clinical trial or registry.

Example

“I believe success in a clinical research product can be measured through participant engagement rates and retention over time. For instance, if we see a high retention rate, it indicates that participants find value in the study, which is essential for the integrity of the research.”

2. Can you describe a time when you used data to influence a product decision?

This question assesses your ability to leverage data for actionable insights.

How to Answer

Provide a specific example where your analysis led to a significant product decision. Highlight the data you used and the outcome of that decision.

Example

“In my previous role, I analyzed participant drop-off rates in a clinical trial and discovered that the onboarding process was too lengthy. By presenting this data to the product team, we streamlined the onboarding, which resulted in a 30% increase in participant retention.”

3. What key performance indicators (KPIs) would you track for a clinical trial?

This question tests your knowledge of relevant metrics in the healthcare domain.

How to Answer

Discuss specific KPIs that are relevant to clinical trials, such as enrollment rates, retention rates, and data quality metrics. Explain why these are important.

Example

“I would track KPIs such as enrollment rates to ensure we meet our target numbers, retention rates to gauge participant satisfaction, and data quality metrics to ensure the integrity of the data collected throughout the trial.”

4. How do you prioritize metrics when analyzing product performance?

This question evaluates your analytical thinking and prioritization skills.

How to Answer

Explain your approach to prioritizing metrics based on their impact on the product and the goals of the clinical trial.

Example

“I prioritize metrics based on their alignment with the trial’s objectives. For instance, if the goal is to enhance participant engagement, I would focus on metrics like session duration and frequency of participation over less impactful metrics.”

5. Describe a situation where you had to advocate for a metric change. What was the outcome?

This question assesses your ability to influence stakeholders and drive change.

How to Answer

Share a specific instance where you identified a need for a metric change and how you communicated this to your team or stakeholders.

Example

“I noticed that our participant engagement metric was not capturing the full picture of user interaction. I advocated for a more comprehensive metric that included qualitative feedback. After implementing this change, we gained valuable insights that improved our engagement strategies.”

SQL and Data Analysis

1. Can you explain how you would write a SQL query to analyze participant engagement data?

This question tests your SQL skills and understanding of data analysis.

How to Answer

Outline the steps you would take to write a SQL query, including the tables you would use and the specific data points you would analyze.

Example

“I would start by selecting the relevant tables, such as participant activity logs and engagement metrics. My SQL query would include joins to combine these tables, filtering for specific time frames to analyze trends in engagement over the course of the trial.”

2. How do you ensure the accuracy of your data analysis?

This question evaluates your attention to detail and data validation processes.

How to Answer

Discuss the methods you use to validate data, such as cross-referencing with other data sources or conducting sanity checks.

Example

“I ensure accuracy by cross-referencing my findings with raw data and conducting sanity checks. Additionally, I often collaborate with data engineers to verify that the data pipelines are functioning correctly.”

3. Describe a complex SQL query you have written. What was its purpose?

This question assesses your experience with SQL and your ability to handle complex data scenarios.

How to Answer

Provide a specific example of a complex SQL query you wrote, explaining its purpose and the outcome of your analysis.

Example

“I wrote a complex SQL query to analyze participant drop-off rates by joining multiple tables, including demographics and engagement logs. This analysis helped us identify specific demographics that were less engaged, allowing us to tailor our outreach efforts.”

4. How do you approach creating dashboards for data visualization?

This question evaluates your experience with BI tools and your approach to data visualization.

How to Answer

Discuss your process for creating dashboards, including the tools you use and how you determine what data to visualize.

Example

“I approach dashboard creation by first understanding the key metrics stakeholders need to see. I use tools like Tableau to create visualizations that are intuitive and highlight trends over time, ensuring that the data is easily digestible for all users.”

5. What strategies do you use to communicate complex data insights to non-technical stakeholders?

This question assesses your communication skills and ability to simplify complex information.

How to Answer

Explain your approach to breaking down complex data insights into understandable terms for non-technical audiences.

Example

“I focus on using clear visuals and straightforward language when presenting data insights. I often use analogies or real-world examples to make the data relatable, ensuring that stakeholders can grasp the implications of the analysis without getting lost in technical jargon.”