Epic Data Analyst Interview Questions + Guide in 2025

Epic is a leader in healthcare software solutions, dedicated to improving patient care through innovative technology.

As a Data Analyst at Epic, you will play a crucial role in shaping the future of healthcare data management. Your key responsibilities will include analyzing complex datasets to extract actionable insights, collaborating with cross-functional teams to drive data-driven decision-making, and presenting your findings to stakeholders at various levels. You will be expected to utilize your expertise in statistical analysis, data visualization, and proficiency in tools such as Microsoft Excel to support pricing proposals and market research initiatives. The ideal candidate will have strong analytical skills, a high sense of urgency, and the ability to communicate effectively with both technical and non-technical team members. A background in Finance, Economics, or a related quantitative field will be advantageous, as you will need to navigate both technical and business aspects of data analysis.

This guide is designed to help you prepare for your interview by providing insights into the specific skills and experiences that Epic values in a Data Analyst, ensuring you can present yourself as a strong candidate ready to contribute to their mission of enhancing healthcare through technology.

The interview process for a Data Analyst position at Epic is designed to thoroughly evaluate candidates' technical skills, problem-solving abilities, and cultural fit within the organization. The process typically unfolds in several stages, each aimed at assessing different competencies relevant to the role.

1. Initial Phone Interview

The first step in the interview process is a phone screening, which usually lasts around 30 minutes. During this conversation, a recruiter or a member of the engineering team will ask about your background, experience, and motivation for applying to Epic. Expect to discuss your projects and any relevant skills, as well as to answer some basic behavioral questions. This stage is crucial for establishing a rapport and determining if you align with the company’s values.

2. Online Skills Assessment

Following the initial phone interview, candidates are required to complete an online skills assessment. This assessment is typically extensive, lasting around 3 to 4 hours, and consists of multiple sections that evaluate mathematical reasoning, logic, and programming skills. Candidates may encounter timed math questions, logic puzzles, and coding challenges similar to those found on platforms like LeetCode. The assessment is proctored online, and candidates should be prepared to demonstrate their problem-solving abilities without the aid of an integrated development environment (IDE).

3. Final Interview

Candidates who successfully pass the online assessment will be invited to a final interview, which can take several hours and may include multiple components. This stage often features a mix of technical interviews, behavioral questions, and a case study presentation. You may be asked to present a project you’ve worked on or to solve a real-world problem relevant to the role. This final round is an opportunity for candidates to showcase their analytical skills and their ability to communicate complex ideas effectively.

4. Group Interview and Presentations

In some cases, the final interview may also include a group component where candidates collaborate on a problem-solving exercise. This allows the interviewers to assess how well candidates work in a team setting and their ability to articulate their thought processes. Additionally, candidates may be asked to give a brief presentation on a topic of their choice, further demonstrating their communication skills and passion for the field.

As you prepare for your interview, it’s essential to be ready for a variety of questions that will test both your technical knowledge and your fit within the Epic culture.

Practice for the Epic Data Analyst interview with these recently asked interview questions.