Exelon Data Analyst Interview Questions + Guide in 2025

Exelon is a leading energy company that is powering a cleaner, brighter future through innovation and community engagement.

The Data Analyst role at Exelon is pivotal in supporting various business operations by providing insightful data analytics. Key responsibilities include performing detailed analyses, preparing comprehensive reports, and conducting complex modeling to support decision-making processes. The analyst is expected to leverage tools such as SQL and Power BI to extract, visualize, and interpret data, enabling stakeholders to make data-driven insights. Ideal candidates will exhibit strong analytical skills, a customer-focused mindset, and the ability to communicate technical concepts clearly to non-technical audiences. Given Exelon’s commitment to safety, integrity, and innovation, a successful Data Analyst will thrive in a collaborative environment, demonstrating initiative and the ability to manage multiple priorities effectively.

This guide will equip you with the specific skills and knowledge needed to excel in your interview for the Data Analyst position at Exelon. By preparing with this focused content, you will enhance your confidence and readiness for the interview process.

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

1. Initial Screening

The first step usually involves a brief phone call with a recruiter. This conversation lasts about 10-15 minutes and focuses on your background, experience, and salary expectations. The recruiter will gauge your interest in the role and provide an overview of the company culture and expectations.

2. Technical Assessment

Following the initial screening, candidates may be required to complete a technical assessment. This could involve a one-way video interview where you answer a set of predetermined questions related to data analysis, SQL, and other relevant tools. This step is crucial for evaluating your technical proficiency and problem-solving abilities.

3. Panel Interview

The next stage is typically a panel interview, which lasts around 60 minutes. You will meet with a group of three or more interviewers, including team members and managers. This interview will include a mix of behavioral and technical questions, often utilizing the STAR (Situation, Task, Action, Result) format to assess your past experiences and how they relate to the role. Expect questions that explore your analytical skills, experience with data visualization tools like Power BI, and your approach to handling complex data-related challenges.

4. Behavioral Interview

In some cases, a separate behavioral interview may be conducted, focusing on your interpersonal skills and how you work within a team. This interview will likely include questions about conflict resolution, prioritization of tasks, and your ability to communicate technical concepts to non-technical stakeholders.

5. Final Interview

The final stage may involve a one-on-one interview with a senior manager or director. This conversation will delve deeper into your fit within the company culture and your long-term career aspirations. It’s also an opportunity for you to ask questions about the team dynamics and the projects you would be working on.

6. Offer and Background Check

If you successfully navigate the interview stages, you will receive a job offer. This is typically followed by a background check, which may take a couple of weeks. Communication throughout the process is generally prompt and detailed, ensuring you are kept informed of your application status.

As you prepare for your interview, consider the types of questions that may be asked during these stages, particularly those that assess your technical skills and behavioral competencies.

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

Understand the Company Culture

Exelon values innovation, integrity, and community service. Familiarize yourself with their mission to lead the energy transformation and how they aim to create stronger, healthier communities. During your interview, demonstrate how your personal values align with Exelon's commitment to inclusivity and creativity. Be prepared to discuss how you can contribute to their goals and support their diverse workforce.

Prepare for Behavioral Questions

Expect a significant focus on behavioral questions, particularly those framed in the STAR (Situation, Task, Action, Result) format. Reflect on your past experiences and prepare specific examples that showcase your analytical skills, problem-solving abilities, and how you handle conflicting priorities. Highlight instances where you successfully collaborated with stakeholders or improved processes, as these are key competencies for a Data Analyst at Exelon.

Brush Up on Technical Skills

Given the emphasis on SQL and data visualization tools like Power BI, ensure you are comfortable discussing your technical expertise. Be ready to explain your experience with data extraction, reporting, and analysis. You may be asked to describe specific SQL queries you've written or how you've used data visualization to communicate insights effectively. Practicing these skills will help you articulate your technical knowledge confidently.

Communicate Clearly and Effectively

Strong communication skills are essential for this role, especially when translating complex data insights into understandable information for non-technical stakeholders. Practice explaining technical concepts in simple terms, and be prepared to demonstrate your ability to adapt your communication style based on your audience. This will show your potential to build effective working relationships within the organization.

Show Initiative and Problem-Solving Skills

Exelon looks for candidates who can manage multiple priorities and demonstrate initiative. Be prepared to discuss how you've taken the lead on projects or identified opportunities for improvement in previous roles. Highlight your critical thinking skills and provide examples of how you've approached complex problems, particularly in high-pressure situations.

Engage with the Interviewers

During the interview, engage with your panel by asking insightful questions about their projects, team dynamics, and the tools they use. This not only shows your interest in the role but also allows you to assess if the team and company culture align with your career aspirations. Remember, interviews are a two-way street, and demonstrating curiosity can leave a positive impression.

Follow Up Thoughtfully

After your interview, send a thank-you email to express your appreciation for the opportunity to interview. Use this as a chance to reiterate your enthusiasm for the role and briefly mention a key point from your discussion that reinforces your fit for the position. This thoughtful follow-up can help keep you top of mind as they make their decision.

By preparing thoroughly and aligning your experiences with Exelon's values and expectations, you'll position yourself as a strong candidate for the Data Analyst role. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Data Analyst interview at Exelon. The interview process will likely focus on your analytical skills, technical knowledge, and ability to communicate effectively with stakeholders. Be prepared to discuss your experience with data extraction, reporting, and analysis, as well as your familiarity with tools like SQL and Power BI.

Technical Skills

1. What SQL functions do you use most frequently, and can you provide an example of how you've used them in a project?

Understanding SQL is crucial for this role, and interviewers will want to see your practical experience with it.

How to Answer

Discuss specific SQL functions you frequently use, such as JOINs, GROUP BY, or window functions, and provide a concrete example of how you applied them in a project to solve a problem or derive insights.

Example

“I often use JOINs to combine data from multiple tables. For instance, in a recent project, I joined customer data with transaction records to analyze purchasing patterns, which helped the marketing team tailor their campaigns effectively.”

2. Can you explain the difference between INNER JOIN and LEFT JOIN?

This question tests your understanding of SQL joins, which are fundamental for data analysis.

How to Answer

Clearly define both types of joins and provide a scenario where each would be applicable.

Example

“An INNER JOIN returns only the rows where there is a match in both tables, while a LEFT JOIN returns all rows from the left table and matched rows from the right table. For example, if I wanted to list all customers and their orders, I would use a LEFT JOIN to ensure all customers are included, even those without orders.”

3. Describe a time when you had to clean and prepare a dataset for analysis. What steps did you take?

Data cleaning is a critical part of the data analysis process, and interviewers want to know your approach.

How to Answer

Outline the specific steps you took to clean the data, such as handling missing values, removing duplicates, or standardizing formats.

Example

“In a previous role, I worked with a dataset that had numerous missing values and inconsistencies. I first identified and removed duplicates, then used imputation techniques to fill in missing values based on the mean of the column. Finally, I standardized date formats to ensure consistency across the dataset.”

4. What visualization tools have you used, and how do you decide which type of visualization to use?

This question assesses your experience with data visualization and your ability to communicate insights effectively.

How to Answer

Mention specific tools you’ve used, such as Power BI or Tableau, and explain your thought process in choosing the right visualization.

Example

“I have extensive experience with Power BI. When deciding on a visualization, I consider the data type and the story I want to tell. For example, I use line charts for trends over time and bar charts for comparing categories. In a recent project, I created a dashboard that used both to provide a comprehensive view of sales performance.”

Behavioral Questions

5. Describe a situation where you had to manage conflicting priorities from different stakeholders. How did you handle it?

This question evaluates your communication and prioritization skills.

How to Answer

Provide a specific example, detailing how you assessed the priorities and communicated with stakeholders to find a resolution.

Example

“In a previous project, I had two stakeholders requesting reports with tight deadlines. I scheduled a meeting with both to discuss their needs and explained the constraints. We agreed on a timeline that allowed me to deliver both reports without compromising quality, and I kept them updated throughout the process.”

6. Tell me about a time when you had to present complex data to a non-technical audience. How did you ensure they understood?

This question tests your ability to communicate technical information clearly.

How to Answer

Discuss your approach to simplifying complex data and the techniques you used to engage your audience.

Example

“I once presented a detailed analysis of customer behavior to the marketing team. To ensure understanding, I focused on key insights and used simple visuals to illustrate trends. I also encouraged questions throughout the presentation to clarify any points of confusion.”

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

This question assesses your time management and organizational skills.

How to Answer

Explain your method for prioritizing tasks, such as using a project management tool or assessing deadlines and impact.

Example

“I prioritize tasks based on deadlines and the potential impact on the business. I use a project management tool to track my tasks and regularly review my priorities. For instance, if I have a report due soon that will influence a major decision, I focus on that first, while still making time for other ongoing projects.”

8. Give an example of a time when you identified a problem in a dataset. What steps did you take to resolve it?

This question evaluates your analytical skills and attention to detail.

How to Answer

Describe the problem you identified, the analysis you conducted, and the solution you implemented.

Example

“While analyzing sales data, I noticed an unusual spike in returns that didn’t align with sales trends. I dug deeper and discovered a data entry error in the returns column. I corrected the error and implemented a validation rule to prevent similar issues in the future.”

Company Fit

9. Why do you want to work at Exelon, and how do you align with our values?

This question assesses your motivation for applying and your understanding of the company culture.

How to Answer

Express your enthusiasm for the company’s mission and values, and relate them to your personal and professional experiences.

Example

“I admire Exelon’s commitment to sustainability and innovation in the energy sector. I believe my analytical skills can contribute to data-driven decisions that support your mission of powering a cleaner future. I value teamwork and integrity, which aligns with Exelon’s emphasis on collaboration and community service.”

10. How do you stay updated with the latest trends and technologies in data analysis?

This question evaluates your commitment to professional development.

How to Answer

Discuss the resources you use to stay informed, such as online courses, webinars, or industry publications.

Example

“I regularly follow industry blogs and participate in webinars to stay updated on the latest trends in data analysis. I also take online courses to learn new tools and techniques, such as advanced SQL and data visualization best practices, to continuously enhance my skills.”