Epiq Data Analyst Interview Questions + Guide in 2025

Epiq is a global leader in technology-enabled legal services, providing innovative solutions to law firms and corporate legal departments.

The Data Analyst role at Epiq centers around the collection, analysis, and interpretation of data to support business decisions and improve operational efficiency. Key responsibilities include developing reports, creating data visualizations, and collaborating with cross-functional teams to understand data needs. Candidates should possess strong analytical skills, proficiency in data manipulation tools (such as Excel, SQL, or similar), and a solid understanding of statistics. Additionally, effective communication skills and a problem-solving mindset are essential traits, as the analyst must convey complex information in an understandable manner to stakeholders. Epiq values teamwork and adaptability, so a candidate who thrives in a collaborative environment and can pivot as business needs change will excel in this role.

This guide will help you navigate the interview process with a focus on the skills and experiences that Epiq values, ensuring you present yourself as a strong candidate for the Data Analyst position.

The interview process for a Data Analyst position at Epiq is structured to assess both technical skills and cultural fit within the organization. The process typically unfolds as follows:

1. Initial Phone Interview

The first step in the interview process is a phone interview, which is usually scheduled shortly after your application is reviewed. This call typically lasts around 30 minutes and is conducted by a recruiter. During this conversation, the recruiter will discuss the role, the company culture, and your background. They will focus on understanding your skills, experiences, and how they align with Epiq's values.

2. Technical and Behavioral Interview

Following the initial phone interview, candidates are invited to participate in a technical and behavioral interview. This is often conducted via video call and lasts approximately 30 minutes. In this round, you will engage with a member of the data analytics team. The focus will be on your past experiences, particularly how you have approached data analysis projects, problem-solving scenarios, and your familiarity with relevant tools and methodologies. Expect questions that require you to elaborate on your resume and discuss how you handle various situations in a professional context.

3. In-Person Interview

The final stage of the interview process is an in-person interview, which typically consists of multiple back-to-back sessions with different interviewers. Each session lasts around 30 minutes, allowing for a comprehensive evaluation of your fit for the role. Interviewers may include team members from various departments, and the discussions will cover both technical competencies and behavioral aspects. This is an opportunity for you to demonstrate your analytical skills, communication abilities, and how you collaborate with others.

Candidates often receive feedback and offers relatively quickly after the final interview, typically within a few days.

As you prepare for your interviews, 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

Epiq is known for its friendly and professional environment. Familiarize yourself with the company’s values and mission, as this will help you align your responses with what they prioritize. Be prepared to discuss how your personal values resonate with Epiq’s culture. This understanding will not only help you answer questions more effectively but also demonstrate your genuine interest in being part of their team.

Prepare for Behavioral Questions

Given that the interviewers focus on your past experiences and how you handle various scenarios, it’s crucial to prepare for behavioral questions. Use the STAR (Situation, Task, Action, Result) method to structure your responses. Think of specific examples from your previous roles that showcase your problem-solving skills, teamwork, and adaptability. This approach will help you articulate your experiences clearly and effectively.

Emphasize Communication Skills

As a Data Analyst, your ability to communicate complex data insights in a clear and concise manner is vital. During the interview, practice explaining your past projects or analyses in a way that is understandable to someone without a technical background. This will demonstrate your ability to bridge the gap between data and decision-making, which is a key skill for the role.

Be Ready for a Conversational Interview Style

The interview process at Epiq tends to be friendly and conversational. Approach the interview as a dialogue rather than a formal interrogation. Engage with your interviewers by asking clarifying questions and showing enthusiasm for the topics discussed. This will help create a rapport and make the interview feel more like a collaborative discussion.

Showcase Your Learning Agility

Epiq values candidates who are eager to learn and adapt. Be prepared to discuss how you approach learning new tools or methodologies, and provide examples of how you have successfully adapted to changes in your previous roles. Highlighting your learning agility will demonstrate that you are not only capable of handling the current responsibilities but are also prepared to grow with the company.

Follow Up Thoughtfully

After your interview, send a personalized thank-you note to each of your interviewers. In your message, reference specific topics discussed during the interview to reinforce your interest and engagement. This small gesture can leave a lasting impression and further demonstrate your enthusiasm for the role and the company.

By following these tips, you will be well-prepared to make a strong impression during your interview at Epiq. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Data Analyst interview at Epiq. The interview process will likely focus on your analytical skills, problem-solving abilities, and how you apply data to drive business decisions. Be prepared to discuss your past experiences and how they relate to the role, as well as your approach to data analysis and collaboration with teams.

Experience and Background

1. Can you describe a project where you used data to influence a business decision?

Epiq values data-driven decision-making, and they want to see how you can leverage data to impact outcomes.

How to Answer

Discuss a specific project where your analysis led to a significant decision or change. Highlight the data sources you used, the analysis performed, and the outcome.

Example

“In my previous role, I analyzed customer feedback data to identify trends in service dissatisfaction. By presenting my findings to the management team, we implemented changes that improved our customer satisfaction scores by 20% over the next quarter.”

2. How do you prioritize your tasks when working on multiple projects?

Epiq may have you juggling various projects, so they want to know how you manage your time and prioritize effectively.

How to Answer

Explain your approach to task management, including any tools or methods you use to stay organized and ensure deadlines are met.

Example

“I use a combination of project management tools and a priority matrix to assess the urgency and importance of tasks. This helps me focus on high-impact projects first while keeping track of deadlines for all my responsibilities.”

Analytical Skills

3. What statistical methods do you find most useful in your analysis?

Understanding statistical methods is crucial for a Data Analyst role, and Epiq will want to gauge your familiarity with these concepts.

How to Answer

Mention specific statistical methods you have used in your work, and explain how they helped you derive insights from data.

Example

“I frequently use regression analysis to identify relationships between variables. For instance, I applied it to forecast sales based on historical data, which allowed us to adjust our marketing strategies effectively.”

4. Describe a time when you had to analyze a large dataset. What tools did you use?

Epiq will be interested in your experience with data analysis tools and your ability to handle large datasets.

How to Answer

Discuss the dataset, the tools you used (like Excel, SQL, or Python), and the insights you gained from your analysis.

Example

“I worked on a project involving a large customer database, using SQL to extract relevant data. I then utilized Python for data cleaning and visualization, which helped us identify key customer segments for targeted marketing.”

Problem-Solving

5. How do you approach troubleshooting data discrepancies?

Epiq will want to know your problem-solving skills, especially when it comes to data integrity.

How to Answer

Explain your systematic approach to identifying and resolving discrepancies, including any tools or techniques you use.

Example

“When I encounter data discrepancies, I first verify the source of the data and check for any errors in the extraction process. I then cross-reference with other datasets to pinpoint the issue, ensuring that I document my findings for future reference.”

6. Can you give an example of a time you had to explain complex data findings to a non-technical audience?

Communication is key in a Data Analyst role, and Epiq will assess your ability to convey insights clearly.

How to Answer

Share a specific instance where you simplified complex data for a non-technical audience, focusing on your communication style and the outcome.

Example

“I once presented a complex analysis of our sales data to the marketing team. I used visual aids and simplified language to explain the trends, which helped them understand the data and adjust their strategies accordingly.”

Collaboration and Teamwork

7. How do you ensure effective communication with team members when working on data projects?

Epiq values collaboration, so they will want to know how you facilitate communication within teams.

How to Answer

Discuss your strategies for maintaining open lines of communication and ensuring everyone is aligned on project goals.

Example

“I schedule regular check-ins with my team to discuss progress and any challenges we face. I also encourage open feedback and use collaborative tools like Slack to keep everyone informed and engaged throughout the project.”

8. Describe a situation where you had to work with a difficult stakeholder. How did you handle it?

Epiq may want to see how you navigate challenging interpersonal dynamics in a professional setting.

How to Answer

Share a specific example of a difficult stakeholder interaction, focusing on your approach to resolving the situation and maintaining a positive working relationship.

Example

“I once worked with a stakeholder who was resistant to data-driven recommendations. I took the time to understand their concerns and provided additional context and data to support my analysis. By actively listening and addressing their needs, we were able to reach a consensus on the best course of action.”