Milliman Data Analyst Interview Questions + Guide in 2025

Milliman is a leading consulting firm specializing in actuarial science, analytics, and risk management solutions for the insurance and healthcare sectors.

As a Data Analyst at Milliman, you will play a critical role in transforming and analyzing complex datasets to provide actionable insights that support various financial and operational strategies. Your key responsibilities will include collaborating with multi-disciplinary teams to implement data-driven solutions, performing rigorous data analysis using tools such as SQL, Python, and Excel, and generating reports that inform decision-making. You will also be tasked with maintaining data integrity and quality throughout the data lifecycle, from extraction to analysis and reporting.

The ideal candidate for this role will possess a strong quantitative background, exceptional analytical skills, and a passion for problem-solving. You should be comfortable working both independently and collaboratively in a fast-paced environment. A commitment to continuous learning and an ability to communicate technical concepts clearly to stakeholders at all levels are essential traits that align with Milliman's values of innovation and excellence.

This guide will equip you with the knowledge and insight needed to excel in your interview for the Data Analyst position at Milliman, helping you articulate your skills and experiences effectively while demonstrating your fit for the company's culture and values.

The interview process for a Data Analyst position at Milliman is structured and thorough, designed to assess both technical skills and cultural fit within the organization. The process typically unfolds in several key stages:

1. Initial Phone Screen

The first step is an informal phone interview with a recruiter or hiring manager. This conversation usually lasts about 30 minutes and serves as an opportunity for the interviewer to provide insights about the company and the role. Candidates can expect to discuss their background, relevant experiences, and motivations for applying. This stage is also a chance for candidates to ask questions about the company culture and the specifics of the Data Analyst role.

2. Technical Assessment

Following the initial screen, candidates may be invited to complete a technical assessment. This assessment is often conducted via video conferencing tools like Zoom, where candidates are monitored while they solve problems relevant to the role. The assessment may include tasks related to data analysis, SQL queries, or programming challenges in languages such as Python or R. Candidates should be prepared to demonstrate their analytical thinking and problem-solving skills in a practical context.

3. Onsite or Virtual Interviews

Candidates who successfully pass the technical assessment will be invited for a series of onsite or virtual interviews. This stage typically consists of multiple one-on-one interviews with team members, including senior analysts and managers. Each interview lasts approximately 45 minutes and covers a mix of technical and behavioral questions. Interviewers may utilize the STAR (Situation, Task, Action, Result) method to evaluate candidates' past experiences and how they align with the responsibilities of the Data Analyst role.

4. Final Interview

In some cases, a final interview may be conducted with higher-level management or executives. This interview focuses on assessing the candidate's fit within the company culture and their alignment with Milliman's values. Candidates may be asked about their long-term career goals and how they envision contributing to the team and the organization as a whole.

5. Offer and Negotiation

If a candidate successfully navigates all previous stages, they may receive a job offer. This stage includes discussions about salary, benefits, and other employment terms. Milliman is known for its competitive compensation packages, so candidates should be prepared to negotiate based on their experience and market standards.

As you prepare for your interview, consider the types of questions that may arise during this process.

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

Understand the Company Culture

Milliman values collaboration, innovation, and personal responsibility. Familiarize yourself with their approach to risk management and their commitment to employee development. Be prepared to discuss how your values align with theirs and how you can contribute to their culture of excellence and teamwork.

Prepare for Behavioral Questions

The interview process at Milliman often utilizes the STAR method (Situation, Task, Action, Result). Prepare specific examples from your past experiences that demonstrate your problem-solving skills, ability to work in a team, and how you handle challenges. Think about times when you took initiative or contributed to a successful project, as these stories will resonate well with the interviewers.

Brush Up on Technical Skills

As a Data Analyst, you will likely be assessed on your technical abilities. Make sure you are comfortable with SQL, Python, and any relevant data analysis tools mentioned in the job description. Practice coding problems and be ready to discuss your technical projects in detail, including the methodologies you used and the outcomes achieved.

Be Ready for a Technical Assessment

Some candidates have reported a technical assessment conducted via Zoom. This may involve real-time problem-solving or coding tasks. Ensure you are well-prepared to demonstrate your analytical skills and technical knowledge under pressure. Familiarize yourself with common data analysis scenarios relevant to the financial services or healthcare sectors.

Communicate Clearly and Confidently

Milliman places a strong emphasis on communication skills. Be articulate and professional in your responses, and don’t hesitate to ask clarifying questions if you need more information. Show that you can explain complex technical concepts in a way that is understandable to non-technical stakeholders.

Show Enthusiasm for Learning

Milliman appreciates candidates who are eager to learn and grow. Highlight any relevant coursework, certifications, or self-directed learning you have undertaken. Discuss your interest in obtaining further qualifications, such as the CFA or FRM, and how you plan to continue developing your skills in the field.

Ask Insightful Questions

At the end of the interview, you will likely have the opportunity to ask questions. Use this time to inquire about the team dynamics, ongoing projects, and how success is measured within the role. This not only shows your interest in the position but also helps you gauge if Milliman is the right fit for you.

Follow Up Professionally

After the interview, consider sending a thank-you email to express your appreciation for the opportunity to interview. Reiterate your interest in the position and briefly mention a key point from the interview that resonated with you. This can help keep you top of mind as they make their decision.

By following these tips, you can present yourself as a well-prepared and enthusiastic candidate who is ready to contribute to Milliman's success. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Data Analyst interview at Milliman. The interview process will likely focus on your technical skills, analytical thinking, and ability to communicate effectively. Be prepared to discuss your experience with data analysis tools, your problem-solving approach, and how you can contribute to the team.

Technical Skills

**1. What data analysis tools are you most comfortable using, and why?

Milliman values proficiency in various data analysis tools, so they want to understand your technical background.**

How to Answer

Discuss the tools you have used, your level of expertise, and specific projects where you applied these tools effectively.

Example

“I am most comfortable using SQL and Python for data analysis. In my previous role, I utilized SQL to extract and manipulate large datasets, which helped streamline our reporting process. Additionally, I used Python for data visualization, which allowed us to present our findings in a more digestible format for stakeholders.”

**2. Can you describe your experience with SQL and how you have used it in past projects?

SQL is a critical skill for data analysts, and Milliman will want to assess your proficiency.**

How to Answer

Provide specific examples of how you have used SQL in your work, including any complex queries or optimizations you implemented.

Example

“In my last position, I wrote complex SQL queries to analyze customer behavior data. I optimized existing queries to improve performance, which reduced our report generation time by 30%. This experience taught me the importance of efficient data retrieval in analytics.”

**3. How do you approach data cleaning and preparation?

Data quality is crucial for accurate analysis, and Milliman will want to know your methods.**

How to Answer

Explain your process for data cleaning, including any tools or techniques you use to ensure data integrity.

Example

“I start by identifying missing or inconsistent data points and use tools like Excel and Python libraries to clean the data. I also implement validation checks to ensure the data meets the required standards before analysis. This systematic approach has helped me maintain high data quality in my projects.”

**4. Describe a challenging data analysis project you worked on. What was your role, and what was the outcome?

Milliman is interested in your problem-solving skills and ability to handle complex projects.**

How to Answer

Share a specific project, your contributions, and the results achieved, emphasizing your analytical skills.

Example

“I worked on a project analyzing healthcare claims data to identify trends in patient outcomes. My role involved data extraction, analysis, and presenting findings to the team. We discovered significant correlations that led to actionable insights, ultimately improving patient care strategies.”

**5. How do you ensure accuracy in your data analysis?

Accuracy is vital in data analysis, especially in a consulting environment like Milliman.**

How to Answer

Discuss the methods you use to verify your analysis and ensure the results are reliable.

Example

“I always cross-verify my results with multiple data sources and perform peer reviews of my analyses. Additionally, I document my processes thoroughly, which allows for easy replication and validation by my colleagues.”

Analytical Thinking

**1. How do you prioritize multiple data analysis projects with tight deadlines?

Milliman values time management and the ability to handle multiple tasks effectively.**

How to Answer

Explain your approach to prioritization and time management, including any tools you use.

Example

“I prioritize projects based on their impact and deadlines. I use project management tools like Trello to track progress and deadlines, ensuring I allocate my time effectively. This approach has allowed me to meet tight deadlines without compromising quality.”

**2. Can you give an example of how you used data to influence a decision?

Milliman is interested in your ability to translate data into actionable insights.**

How to Answer

Share a specific instance where your analysis led to a significant decision or change.

Example

“In a previous role, I analyzed customer feedback data and identified a recurring issue with our product. I presented my findings to management, which led to a redesign of the product feature. This change resulted in a 20% increase in customer satisfaction ratings.”

**3. Describe a time when you had to learn a new tool or technology quickly. How did you approach it?

Milliman values adaptability and a willingness to learn.**

How to Answer

Discuss your learning process and how you applied the new tool or technology effectively.

Example

“When I needed to learn Power BI for a project, I dedicated time to online courses and hands-on practice. I also reached out to colleagues who were experienced with the tool for tips. Within a few weeks, I was able to create comprehensive dashboards that impressed our stakeholders.”

**4. How do you handle unexpected results in your data analysis?

Milliman will want to know how you approach anomalies or unexpected findings.**

How to Answer

Explain your process for investigating and addressing unexpected results.

Example

“When I encounter unexpected results, I first double-check my data and analysis methods for errors. If everything checks out, I investigate further to understand the underlying reasons. This approach has often led to valuable insights that we might have otherwise overlooked.”

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

Effective communication is key at Milliman, especially when dealing with clients.**

How to Answer

Discuss your methods for simplifying complex data and ensuring clarity in your presentations.

Example

“I focus on using clear visuals and straightforward language when presenting data findings. I often create charts and graphs to illustrate key points and avoid jargon. This approach helps ensure that all stakeholders, regardless of their technical background, can understand the insights and implications.”