Included Health Data Analyst Interview Questions + Guide in 2025

Included Health is a company focused on transforming healthcare experiences through innovative technology and personalized solutions.

As a Data Analyst at Included Health, you will play a crucial role in translating complex data into actionable insights that drive decision-making and improve patient outcomes. Your key responsibilities will include collecting, processing, and analyzing healthcare data, creating visualizations to communicate findings, and collaborating with cross-functional teams to support strategic initiatives. Ideal candidates will possess strong analytical skills, proficiency in data analysis tools (such as SQL and Excel), and an understanding of healthcare metrics and performance indicators. Additionally, being detail-oriented and having the ability to convey technical information in a clear and concise manner will set you apart in this role.

This guide aims to equip you with the knowledge and insights necessary to excel in your interview for the Data Analyst position at Included Health, helping you to articulate your experience and understanding of the role effectively.

The interview process for a Data Analyst role at Included Health is structured to assess both technical skills and cultural fit within the organization. Candidates can expect a multi-step process that includes initial screenings, technical assessments, and interviews with various team members.

1. Initial Screening

The process typically begins with a 30 to 60-minute phone call with a recruiter. This conversation serves as an opportunity for the recruiter to gauge your interest in the role, discuss your background, and provide insights into the company culture. It’s also a chance for you to ask questions about the position and the team dynamics.

2. Technical Assessment

Following the initial screening, candidates may be required to complete a technical assessment. This could take the form of a live coding session or a take-home exercise, where you will be evaluated on your analytical skills, data manipulation abilities, and familiarity with relevant tools such as Excel or SQL. The assessment is designed to test your problem-solving skills and your ability to interpret and analyze data effectively.

3. Hiring Manager Interview

After successfully completing the technical assessment, candidates will typically have a 45-minute to 1-hour interview with the hiring manager. This interview often focuses on your previous projects, your approach to data analysis, and how your experiences align with the needs of the team. Behavioral questions may also be included to assess your fit within the company culture.

4. Onsite Interviews

Candidates who progress past the hiring manager interview may be invited for an onsite interview, which usually consists of multiple rounds with various team members. These interviews can include both technical and behavioral components, where you will discuss your resume in detail, tackle data-related scenarios, and engage in discussions about your analytical thought process. Expect to interact with potential coworkers and possibly higher-level executives, providing a comprehensive view of the team and its dynamics.

5. Final Decision

After the onsite interviews, candidates will typically await feedback from the interviewers. The timeline for receiving a decision can vary, and it’s advisable to follow up with the recruiter if you haven’t heard back within the expected timeframe.

As you prepare for your interview, it’s essential to be ready for a range of questions that will assess both your technical capabilities and your fit for the team.

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

Clarify the Interview Process

Given the feedback from previous candidates, it’s crucial to clarify the interview process upfront. Reach out to your recruiter to confirm the structure of the interviews, the types of assessments you will face, and any materials you need to prepare. This proactive approach will help you avoid surprises and ensure you are well-prepared for each stage of the interview.

Prepare for Technical Assessments

As a Data Analyst, you may encounter technical assessments that require you to demonstrate your analytical skills and proficiency with tools like Excel, SQL, or data visualization software. Practice common data manipulation tasks, such as data cleaning, analysis, and visualization. Be ready to explain your thought process and the rationale behind your decisions during these assessments, as interviewers may focus on your approach rather than just the final answer.

Showcase Your Projects

Be prepared to discuss your past projects in detail. Candidates have noted that interviewers often ask about specific projects, so be ready to explain the challenges you faced, the methodologies you used, and the outcomes of your work. Highlight your contributions and the impact of your projects on the organization. This will not only demonstrate your technical skills but also your ability to communicate complex ideas effectively.

Emphasize Cultural Fit

Included Health values a collaborative and supportive work environment. During your interviews, express your enthusiasm for teamwork and your ability to adapt to different team dynamics. Share examples of how you have successfully collaborated with others in the past, and be sure to convey your alignment with the company’s mission and values.

Be Ready for Behavioral Questions

While technical skills are essential, behavioral questions are also a significant part of the interview process. Prepare to discuss your career goals, how you handle challenges, and your approach to problem-solving. Use the STAR (Situation, Task, Action, Result) method to structure your responses, ensuring you provide clear and concise examples that highlight your strengths.

Stay Engaged and Ask Questions

Engagement is key during the interview. Show genuine interest in the role and the team by asking thoughtful questions about the company culture, team dynamics, and the specific challenges the team is currently facing. This not only demonstrates your enthusiasm but also helps you assess if the company is the right fit for you.

Follow Up Professionally

After your interviews, send a thank-you email to express your appreciation for the opportunity to interview. This is a chance to reiterate your interest in the role and the company. If you experience delays in communication, remain professional and patient, but don’t hesitate to follow up politely to inquire about your application status.

By following these tips, you can navigate the interview process at Included Health with confidence and poise, increasing your chances of making a positive impression and securing the Data Analyst role. Good luck!

Experience and Background

In this section, we’ll review the various interview questions that might be asked during a Data Analyst interview at Included Health. The interview process will likely assess your technical skills, analytical thinking, and ability to communicate insights effectively. Be prepared to discuss your past projects, demonstrate your analytical skills, and showcase your understanding of data-driven decision-making.

Technical Skills

1. Can you explain how you would approach analyzing a dataset with missing values?

Understanding how to handle missing data is crucial for any data analyst.

How to Answer

Discuss various techniques such as imputation, deletion, or using algorithms that support missing values. Emphasize the importance of understanding the context of the data and the potential impact of missing values on your analysis.

Example

“I would first assess the extent and pattern of the missing values. If they are random, I might use imputation techniques like mean or median substitution. However, if the missingness is systematic, I would consider excluding those records or using models that can handle missing data, ensuring that my approach aligns with the analysis goals.”

2. Describe a time when you had to present complex data findings to a non-technical audience.

Communication skills are vital for a data analyst, especially when conveying insights to stakeholders.

How to Answer

Highlight your ability to simplify complex concepts and use visual aids to enhance understanding. Mention the importance of tailoring your message to the audience's level of expertise.

Example

“In my previous role, I analyzed customer feedback data and found key trends. I created a visual presentation with charts and graphs to illustrate the findings, focusing on actionable insights. By avoiding technical jargon and emphasizing the implications for our marketing strategy, I was able to engage the team effectively.”

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

Familiarity with data visualization tools is essential for presenting data insights.

How to Answer

Mention specific tools you have used, such as Tableau, Power BI, or Excel, and provide examples of how you utilized them to create impactful visualizations.

Example

“I have extensive experience with Tableau, where I created interactive dashboards to track key performance indicators. This allowed stakeholders to explore the data dynamically, leading to more informed decision-making and quicker responses to market changes.”

4. How do you ensure the accuracy and integrity of your data analysis?

Data integrity is critical in analytics, and interviewers will want to know your approach to maintaining it.

How to Answer

Discuss your methods for data validation, cleaning, and cross-referencing with other data sources to ensure accuracy.

Example

“I implement a rigorous data validation process, including cross-checking data against original sources and using automated scripts to identify anomalies. Additionally, I document my methodology to ensure transparency and reproducibility in my analyses.”

5. Can you walk us through a recent project where you used statistical analysis?

This question assesses your practical experience with statistical methods.

How to Answer

Describe the project, the statistical techniques you employed, and the outcomes of your analysis.

Example

“In a recent project, I conducted a regression analysis to understand the factors affecting customer retention. By analyzing historical data, I identified key predictors and presented my findings to the management team, which led to targeted retention strategies that improved our customer loyalty metrics by 15%.”

Problem-Solving and Analytical Thinking

1. How would you approach a situation where your analysis contradicts the prevailing business assumptions?

This question evaluates your critical thinking and ability to handle conflict.

How to Answer

Explain your approach to presenting your findings respectfully and backing them up with data.

Example

“I would first ensure that my analysis is robust and accurate. Then, I would present my findings to the relevant stakeholders, using clear visuals and data to support my conclusions. I believe in fostering an open dialogue to discuss the implications and explore the data together.”

2. Describe a time when you had to make a decision based on incomplete data.

This question tests your judgment and decision-making skills.

How to Answer

Discuss how you assessed the risks and made a decision while acknowledging the limitations of the data.

Example

“In a previous role, I had to decide on a marketing strategy with limited customer data. I analyzed the available information and consulted with team members to gather insights. I made a calculated decision based on the best available data, which ultimately led to a successful campaign.”

3. What steps do you take to prioritize your tasks when working on multiple projects?

Time management is crucial for a data analyst, especially when juggling various responsibilities.

How to Answer

Outline your prioritization strategy, including how you assess project urgency and importance.

Example

“I use a combination of project management tools and prioritization frameworks like the Eisenhower Matrix. By assessing deadlines, stakeholder impact, and project complexity, I can effectively allocate my time and resources to ensure timely delivery of high-quality analyses.”

4. How do you stay updated with the latest trends and technologies in data analytics?

This question gauges your commitment to professional development.

How to Answer

Mention specific resources, courses, or communities you engage with to stay informed.

Example

“I regularly follow industry blogs, participate in webinars, and am a member of several data analytics forums. I also take online courses to learn new tools and techniques, ensuring that I remain competitive and knowledgeable in the field.”

5. Can you give an example of how you used data to influence a business decision?

This question assesses your impact as a data analyst.

How to Answer

Describe a specific instance where your analysis led to a significant business outcome.

Example

“I analyzed sales data to identify underperforming products. My findings revealed that certain items were not marketed effectively. I presented my analysis to the marketing team, which led to a targeted campaign that increased sales of those products by 20% within three months.”