Verily Data Analyst Interview Questions + Guide in 2025

Verily, a pioneering subsidiary of Alphabet, is transforming healthcare management through a data-driven approach that integrates various sources of information for precision health solutions.

As a Data Analyst at Verily, you will be integral to advancing the company's mission by supporting the growth of its healthcare initiatives through meticulous data analysis, visualization, and system management. Your primary responsibilities will include conducting in-depth analyses on healthcare datasets, developing comprehensive reports, and ensuring accurate data visualization to meet organizational needs. You will collaborate closely with stakeholders to gather requirements and present findings, while also maintaining and administering data systems across various platforms such as Google Cloud and Salesforce. A successful candidate will possess a strong background in data management, proficiency in SQL and data visualization tools, and excellent communication skills to foster productive relationships across different levels of the organization. Understanding and experience in healthcare-related data and systems are essential, as this role directly contributes to improving health outcomes through actionable insights.

This guide is designed to equip you with the insights and knowledge needed to excel in your interview for the Data Analyst position at Verily, positioning you for success in a role that is both challenging and rewarding.

The interview process for a Data Analyst role at Verily is structured to assess both technical skills and cultural fit within the organization. Here’s what you can expect:

1. Initial Screening

The first step in the interview process is typically a phone screening with a recruiter. This conversation lasts about 30 minutes and focuses on your background, experience, and motivation for applying to Verily. The recruiter will also provide insights into the company culture and the specifics of the Data Analyst role, ensuring that you understand the expectations and responsibilities.

2. Technical Assessment

Following the initial screening, candidates usually undergo a technical assessment. This may take place via a video call and involves a data-related task or case study. You will be evaluated on your proficiency in SQL, data analysis, and visualization techniques. Expect to demonstrate your ability to analyze datasets, interpret results, and present your findings clearly. This step is crucial as it tests your analytical skills and your familiarity with tools like Google Cloud Platform and data visualization platforms.

3. Behavioral Interview

After successfully completing the technical assessment, candidates are invited to a behavioral interview. This round typically consists of one or more interviews with team members or managers. Here, the focus will be on your past experiences, problem-solving abilities, and how you handle various workplace situations. Be prepared to discuss your approach to collaboration, communication with stakeholders, and how you manage projects independently.

4. Final Interview

The final stage of the interview process often includes a meeting with senior leadership or cross-functional team members. This interview is designed to assess your alignment with Verily's values and culture. You may be asked to present your previous work or projects, showcasing your analytical thinking and ability to influence stakeholders. This is also an opportunity for you to ask questions about the company’s vision and how the Data Analyst role contributes to its goals.

As you prepare for your interviews, consider the specific skills and experiences that will be relevant to the questions you may encounter.

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

Understand the Healthcare Landscape

Given Verily's focus on healthcare data, familiarize yourself with the current trends and challenges in the healthcare industry. Understand how data is being utilized to improve health outcomes and the role of technology in this transformation. This knowledge will not only help you answer questions more effectively but also demonstrate your genuine interest in the company's mission.

Master the Technical Skills

Proficiency in SQL and data visualization tools like Looker or Tableau is crucial for this role. Brush up on your SQL skills, focusing on complex queries, data manipulation, and reporting. Additionally, practice creating visualizations that effectively communicate data insights. Being able to showcase your technical skills during the interview will set you apart from other candidates.

Prepare for Data-Driven Discussions

Expect to discuss your experience with data analysis, reporting, and visualization. Be ready to share specific examples of how you've used data to drive business decisions or improve processes. Highlight your analytical thinking and problem-solving skills, as these are essential for a Data Analyst at Verily.

Communicate Effectively

Strong communication skills are vital, especially when presenting findings to stakeholders. Practice articulating complex data insights in a clear and concise manner. Tailor your communication style to your audience, whether they are technical team members or executive leadership. This adaptability will demonstrate your ability to build productive relationships across various levels of the organization.

Embrace the Company Culture

Verily values a collaborative and inclusive culture. Familiarize yourself with their core values and be prepared to discuss how you align with them. Show enthusiasm for being part of a diverse team that is committed to innovation and improving healthcare. Your cultural fit can be just as important as your technical skills.

Showcase Your Project Management Experience

Given the role's emphasis on managing projects and processes, be prepared to discuss your experience in this area. Highlight any cross-functional projects you've participated in and your role in coordinating efforts. Emphasize your ability to work independently and manage processes with minimal oversight, as this will resonate well with Verily's expectations.

Ask Insightful Questions

Prepare thoughtful questions that reflect your understanding of Verily's mission and the specific challenges they face in the healthcare sector. Inquire about the team dynamics, ongoing projects, or how data is leveraged to drive decision-making. This will not only show your interest in the role but also your proactive approach to understanding the company.

By following these tips, you'll be well-equipped to make a strong impression during your interview at Verily. Good luck!

Verily Data Analyst Interview Questions

In this section, we’ll review the various interview questions that might be asked during a Verily Data Analyst interview. The interview will focus on your ability to analyze data, communicate findings, and support business processes within the healthcare domain. Be prepared to demonstrate your technical skills, particularly in SQL and data visualization, as well as your understanding of healthcare data and systems.

Data Analysis and Visualization

1. Can you describe a project where you used data analysis to drive business decisions?

This question assesses your practical experience in data analysis and its impact on business outcomes.

How to Answer

Discuss a specific project, detailing the data you analyzed, the methods you used, and the decisions that were influenced by your findings.

Example

“In my previous role, I analyzed patient claims data to identify trends in healthcare costs. By using SQL to extract relevant datasets and Tableau for visualization, I presented my findings to the management team, which led to a strategic shift in our pricing model, ultimately reducing costs by 15%.”

2. What data visualization tools are you familiar with, and how have you used them in your work?

This question evaluates your proficiency with data visualization tools and your ability to communicate data insights effectively.

How to Answer

Mention specific tools you have used, along with examples of how you applied them to create impactful visualizations.

Example

“I have extensive experience with Tableau and Looker. In a recent project, I created a dashboard that tracked key performance indicators for our healthcare services, allowing stakeholders to quickly assess operational efficiency and make informed decisions.”

3. How do you ensure the accuracy and integrity of the data you work with?

This question tests your understanding of data quality and your methods for maintaining it.

How to Answer

Explain your approach to data validation, cleaning, and verification processes.

Example

“I implement a multi-step data validation process that includes automated checks for inconsistencies and manual reviews for critical datasets. This ensures that the data I work with is accurate and reliable for analysis.”

4. Describe a time when you had to present complex data findings to a non-technical audience. How did you approach it?

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

How to Answer

Discuss your strategy for breaking down complex data into understandable insights and how you engaged your audience.

Example

“I once presented a detailed analysis of patient outcomes to a group of healthcare providers. I focused on key metrics and used simple visualizations to illustrate trends, ensuring I explained technical terms in layman's language, which helped facilitate a productive discussion.”

5. What steps do you take when gathering requirements for a data-related project?

This question evaluates your project management and stakeholder engagement skills.

How to Answer

Outline your process for requirements gathering, emphasizing collaboration and communication.

Example

“I start by meeting with stakeholders to understand their needs and objectives. I then document the requirements and create a project plan that includes timelines and deliverables, ensuring regular check-ins to keep everyone aligned throughout the project.”

SQL and Data Management

1. Can you explain the difference between INNER JOIN and LEFT JOIN in SQL?

This question tests your SQL knowledge and understanding of data relationships.

How to Answer

Provide a clear explanation of both types of joins, including when to use each.

Example

“An INNER JOIN returns only the rows that have matching values in both tables, while a LEFT JOIN returns all rows from the left table and the matched rows from the right table. If there’s no match, NULL values are returned for columns from the right table.”

2. How do you optimize SQL queries for better performance?

This question assesses your technical skills in SQL and your understanding of performance tuning.

How to Answer

Discuss techniques you use to improve query performance, such as indexing and query restructuring.

Example

“I optimize SQL queries by analyzing execution plans to identify bottlenecks. I also use indexing on frequently queried columns and avoid SELECT * to limit the data retrieved, which significantly improves performance.”

3. Describe your experience with ETL processes. What tools have you used?

This question evaluates your experience with data extraction, transformation, and loading.

How to Answer

Mention specific ETL tools you have used and describe your role in the ETL process.

Example

“I have worked with tools like Apache NiFi and Talend for ETL processes. In my last project, I was responsible for designing the data pipeline that extracted data from various sources, transformed it for analysis, and loaded it into our data warehouse.”

4. How do you handle missing or incomplete data in your analysis?

This question tests your problem-solving skills and understanding of data quality issues.

How to Answer

Explain your approach to dealing with missing data, including any techniques you use for imputation or exclusion.

Example

“I assess the extent of missing data and determine the best approach based on its impact on the analysis. For minor gaps, I may use mean imputation, while for significant missing data, I might exclude those records or use predictive modeling to estimate the missing values.”

5. Can you provide an example of a complex SQL query you wrote and explain its purpose?

This question evaluates your SQL skills and ability to write complex queries.

How to Answer

Describe a specific query, its components, and the problem it solved.

Example

“I wrote a complex SQL query that aggregated patient data across multiple tables to analyze treatment outcomes. The query involved several JOINs and subqueries to pull together data on demographics, treatment types, and follow-up results, which helped identify trends in patient recovery rates.”