PSEG Data Analyst Interview Questions + Guide in 2025

PSEG, a leading energy company focused on delivering reliable and sustainable energy solutions, is committed to innovation and community engagement.

As a Data Analyst at PSEG, you will play a crucial role in supporting core organizational functions by analyzing data and producing actionable insights. Your responsibilities will include planning, designing, and developing business and financial systems to identify trends and areas for improvement. You will collaborate with various departments to gather data, create reports, and develop visualization tools that facilitate informed decision-making. Key skills required for this role are strong analytical abilities, proficiency in SQL and Microsoft Access, and expertise in data visualization techniques. A successful candidate will demonstrate the ability to communicate complex information clearly and foster teamwork to resolve issues collaboratively.

This guide aims to equip you with the knowledge and confidence to excel in your interview by understanding the expectations and culture at PSEG.

The interview process for a Data Analyst position at PSEG is structured to assess both technical and behavioral competencies, ensuring candidates align with the company’s values and operational needs. The process typically unfolds in several stages:

1. Initial Screening

The first step involves a phone interview with a recruiter or HR representative. This conversation usually lasts about 30 minutes and focuses on your background, skills, and motivations for applying to PSEG. The recruiter will also provide insights into the company culture and the specifics of the Data Analyst role.

2. Technical Interview

Following the initial screening, candidates are often invited to a technical interview. This may be conducted via video call and typically includes questions related to data analysis, SQL proficiency, and Excel skills. Candidates should be prepared to demonstrate their analytical thinking and problem-solving abilities through practical examples or case studies.

3. Panel Interview

The next stage is a panel interview, which can be more extensive and may involve multiple interviewers from different departments. This round focuses on both technical and behavioral questions, often utilizing the STAR (Situation, Task, Action, Result) method to evaluate how candidates have handled past challenges. Expect to discuss your experience with data visualization tools, database management, and your approach to teamwork and communication.

4. One-on-One Interview

After the panel interview, candidates may have a one-on-one interview with a hiring manager or a senior team member. This session often dives deeper into your specific experiences and how they relate to the responsibilities of the Data Analyst role. You may be asked to elaborate on your previous projects, your role in them, and how you overcame obstacles.

5. Final Assessment

In some cases, a final assessment may be required, which could include a practical test or a presentation of a data analysis project. This step is designed to evaluate your technical skills in real-time and assess your ability to communicate complex information effectively.

Throughout the interview process, candidates should be ready to discuss their understanding of PSEG’s core values, including safety, inclusivity, and reliability, as well as their commitment to supporting the communities they serve.

Now, let’s explore the types of interview questions you might encounter during this process.

In this section, we’ll review the various interview questions that might be asked during a Data Analyst interview at PSEG. The interview process will likely focus on your analytical skills, problem-solving abilities, and experience with data management tools. Be prepared to discuss your past experiences and how they relate to the responsibilities outlined in the job description.

Experience and Background

1. Describe a time when you faced a significant challenge in a project. How did you handle it?

PSEG values problem-solving skills and resilience in the face of challenges.

How to Answer

Use the STAR method to structure your response, focusing on the situation, the task at hand, the actions you took, and the results achieved.

Example

“In my previous role, I was tasked with analyzing a large dataset that had inconsistencies. I organized a team meeting to identify the root cause, which turned out to be a data entry error. We implemented a new validation process that reduced errors by 30% in subsequent reports.”

Technical Skills

2. What experience do you have with Microsoft Access and how have you used it in your previous roles?

Understanding your technical proficiency with database management is crucial for this role.

How to Answer

Discuss specific projects where you utilized Microsoft Access, highlighting your ability to design and maintain databases.

Example

“I have over three years of experience using Microsoft Access to create and manage databases. In my last position, I developed a database to track project progress, which improved our reporting efficiency by 40%.”

3. Can you explain how you would approach creating a report from raw data?

This question assesses your analytical process and attention to detail.

How to Answer

Outline your steps from data collection to report generation, emphasizing your analytical skills.

Example

“I start by cleaning the raw data to remove any inconsistencies. Then, I analyze the data to identify key trends and insights. Finally, I use visualization tools to present the findings in a clear and concise report for stakeholders.”

4. Describe your experience with SQL. Can you provide an example of a complex query you’ve written?

SQL skills are essential for data extraction and analysis.

How to Answer

Share your experience with SQL, focusing on a specific query that demonstrates your technical capabilities.

Example

“I have designed numerous SQL queries to extract data for analysis. For instance, I wrote a complex query that joined multiple tables to generate a comprehensive report on customer behavior, which helped the marketing team tailor their strategies effectively.”

Behavioral Questions

5. Tell me about a time when you had to work with a difficult team member. How did you handle the situation?

Collaboration is key in a team environment, and PSEG values interpersonal skills.

How to Answer

Use the STAR method to describe the situation, your approach to resolving the conflict, and the outcome.

Example

“I once worked with a team member who was resistant to feedback. I scheduled a one-on-one meeting to discuss our project goals and listened to their concerns. By fostering open communication, we were able to align our efforts and improve our collaboration.”

Process Improvement

6. Can you give an example of a process improvement you implemented in your previous job?

PSEG is focused on efficiency and continuous improvement.

How to Answer

Discuss a specific instance where you identified a process inefficiency and the steps you took to improve it.

Example

“I noticed that our reporting process was taking too long due to manual data entry. I proposed automating the data collection process using Excel macros, which reduced the reporting time by 50% and allowed the team to focus on analysis rather than data entry.”

7. How do you prioritize tasks when managing multiple projects?

Time management is crucial for a Data Analyst role.

How to Answer

Explain your approach to prioritization and how you ensure deadlines are met.

Example

“I use a project management tool to track all my tasks and deadlines. I prioritize based on urgency and impact, ensuring that I allocate time for high-priority projects while also keeping an eye on upcoming deadlines.”

Data Analysis

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

Data integrity is vital for making informed business decisions.

How to Answer

Discuss your methods for validating data and ensuring accuracy in your analyses.

Example

“I perform regular audits of my data sources and cross-check findings with multiple datasets. Additionally, I implement validation rules in my databases to catch errors early in the analysis process.”

9. Describe a time when your analysis led to a significant business decision.

This question assesses the impact of your analytical work.

How to Answer

Share a specific example where your analysis influenced a key decision.

Example

“During a quarterly review, my analysis revealed a trend in customer complaints related to a specific product. I presented my findings to management, which led to a product redesign that ultimately improved customer satisfaction scores by 20%.”