Stantec Data Analyst Interview Questions + Guide in 2025

Stantec is a global leader in design and consulting, dedicated to creating connections that improve community experiences and drive sustainable solutions for transportation and infrastructure projects.

As a Data Analyst at Stantec, you will play a crucial role in leveraging data analytics to enhance transportation systems and improve client services. Your key responsibilities will include collecting, cleaning, and analyzing data from various sources to inform engineering and planning decisions, as well as creating and maintaining dashboards to visualize insights. You will collaborate with project teams to understand their data needs, conduct basic statistical analysis to identify trends, and support senior analysts in more complex data projects. Proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI will be essential, along with strong analytical and problem-solving skills. A proactive attitude, attention to detail, and excellent communication skills are critical in ensuring data accuracy and integrity, ultimately contributing to Stantec’s commitment to keeping communities connected.

This guide will help you prepare for your interview by highlighting the skills and knowledge areas that are most important for the Data Analyst role at Stantec, allowing you to showcase your qualifications effectively.

The interview process for a Data Analyst position at Stantec is designed to assess both technical and interpersonal skills, ensuring candidates are well-suited for the collaborative and analytical nature of the role. The process typically unfolds in several stages:

1. Initial Screening

The first step involves a brief phone call with a Human Resources representative. This conversation usually lasts around 30 minutes and focuses on your background, motivations for applying, and general fit for the company culture. Expect questions about your experience, willingness to work in the field, and your understanding of the role's demands.

2. Behavioral Interview

Following the initial screening, candidates typically participate in a behavioral interview with the hiring manager or direct supervisor. This interview is often informal and friendly, emphasizing soft skills and situational responses. Questions may revolve around conflict resolution, teamwork, and your approach to new tasks. You may also be asked about your experience with relevant software and your knowledge of Stantec's projects and values.

3. Technical Assessment

In some cases, candidates may undergo a technical assessment, which could include a presentation of past projects or a discussion of specific analytical techniques. This part of the interview aims to evaluate your analytical skills, familiarity with data analysis tools (such as SQL, Excel, or Python/R), and your ability to interpret and visualize data insights.

4. Final Interview

The final stage often involves a more in-depth discussion with senior team members or project managers. This interview may cover your long-term career goals, your understanding of data-driven decision-making, and how you can contribute to Stantec's multidisciplinary approach. Expect to discuss your previous experiences in detail and how they relate to the responsibilities of the Data Analyst role.

Throughout the process, candidates are encouraged to ask questions about the company, team dynamics, and specific projects, as this demonstrates genuine interest and engagement.

Now, let's delve into the specific interview questions that candidates have encountered during their interviews at Stantec.

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

Emphasize Your Analytical Skills

Given the role's focus on data analysis, be prepared to discuss your analytical skills in detail. Highlight specific projects where you collected, cleaned, and analyzed data, and explain the impact of your findings. Use concrete examples to demonstrate your ability to identify trends and patterns, as this will resonate well with the interviewers.

Showcase Your Technical Proficiency

Familiarize yourself with the tools and software mentioned in the job description, such as SQL, Excel, and data visualization tools like Tableau or Power BI. Be ready to discuss your experience with these tools, including any specific projects where you utilized them. If you have experience with Python or R, make sure to mention it, as it can set you apart from other candidates.

Prepare for Behavioral Questions

Stantec's interview process often includes behavioral questions. Reflect on your past experiences and prepare to discuss how you've handled challenges, conflicts, and teamwork. Use the STAR method (Situation, Task, Action, Result) to structure your responses, ensuring you convey your thought process and the outcomes of your actions.

Understand the Company Culture

Stantec values collaboration and a friendly work environment. During your interview, express your enthusiasm for working in a team-oriented setting. Share examples of how you've successfully collaborated with others in previous roles or projects. This will demonstrate that you align with the company's culture and are a good fit for their team.

Ask Insightful Questions

Prepare thoughtful questions to ask your interviewers. Inquire about the specific projects you might be working on, the team dynamics, or how data analytics is integrated into their decision-making processes. This shows your genuine interest in the role and helps you assess if Stantec is the right fit for you.

Be Authentic and Personable

Throughout the interview, maintain a personable demeanor. Stantec's interviewers appreciate candidates who are not only qualified but also relatable. Share your motivations for applying to Stantec and what you hope to achieve in the role. Authenticity can leave a lasting impression and help you connect with your interviewers.

Follow Up

After your interview, send 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 your conversation that resonated with you. This not only shows professionalism but also keeps you top of mind as they make their decision.

By focusing on these areas, you can present yourself as a strong candidate who is well-prepared and genuinely interested in contributing to Stantec's mission. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Data Analyst interview at Stantec. The interview process will likely focus on your analytical skills, experience with data tools, and your ability to communicate insights effectively. Be prepared to discuss your past experiences, your motivation for applying, and how you can contribute to the team.

Experience and Background

1. Why do you want to work at Stantec?

This question assesses your motivation and alignment with the company's values and mission.

How to Answer

Discuss your interest in Stantec's projects and how they resonate with your career goals. Highlight any specific aspects of the company that attract you, such as their commitment to community and sustainability.

Example

“I admire Stantec’s dedication to improving transportation systems and enhancing community connectivity. I am particularly drawn to the opportunity to work on data-driven projects that have a tangible impact on people's lives, and I believe my analytical skills can contribute to this mission.”

2. What is your experience with data analysis tools and software?

This question evaluates your technical proficiency and familiarity with the tools relevant to the role.

How to Answer

Provide a brief overview of the tools you have used, emphasizing your proficiency in SQL, Excel, and any data visualization software. Mention specific projects where you applied these tools.

Example

“I have extensive experience using SQL for data extraction and manipulation, as well as Excel for data analysis and visualization. In my previous internship, I created dashboards in Tableau to present key insights to stakeholders, which helped drive decision-making.”

Analytical Skills

3. Describe a project where you had to analyze a large dataset. What was your approach?

This question tests your analytical thinking and problem-solving skills.

How to Answer

Outline the steps you took to analyze the dataset, including data cleaning, analysis methods, and how you presented your findings.

Example

“In a recent project, I analyzed a large dataset of customer feedback. I started by cleaning the data to remove duplicates and inconsistencies. Then, I used statistical methods to identify trends and patterns, which I visualized in a report that highlighted key areas for improvement in our services.”

4. How do you ensure data accuracy and integrity in your analyses?

This question assesses your attention to detail and understanding of data quality.

How to Answer

Discuss the methods you use to verify data accuracy, such as regular quality checks and validation techniques.

Example

“I ensure data accuracy by implementing regular quality checks, such as cross-referencing data with original sources and using validation rules. I also document my processes to maintain transparency and facilitate audits.”

Behavioral Questions

5. How do you approach conflict when working in a team?

This question evaluates your interpersonal skills and ability to work collaboratively.

How to Answer

Share a specific example of a conflict you faced in a team setting and how you resolved it.

Example

“In a group project, there was a disagreement about the direction of our analysis. I facilitated a meeting where everyone could voice their concerns, and we collaboratively decided to test both approaches. This not only resolved the conflict but also led to a more comprehensive analysis.”

6. Tell me about a time you had to learn a new tool or software quickly. How did you manage?

This question assesses your adaptability and willingness to learn.

How to Answer

Describe the situation, the tool you learned, and the steps you took to become proficient.

Example

“When I was tasked with using Python for data analysis, I had limited experience with it. I dedicated time to online courses and practiced by working on small projects. Within a few weeks, I was able to apply Python effectively in my analyses, which improved our team's efficiency.”

Future Aspirations

7. Where do you see yourself in five years?

This question gauges your career aspirations and alignment with the company’s growth.

How to Answer

Discuss your long-term career goals and how they align with opportunities at Stantec.

Example

“In five years, I see myself as a senior data analyst, leading projects that leverage data to drive strategic decisions. I believe Stantec’s commitment to professional development will provide me with the opportunities to grow and contribute meaningfully to impactful projects.”

8. What do you hope to gain from this internship?

This question assesses your expectations and how they align with the role.

How to Answer

Express your desire to learn and grow, and mention specific skills or experiences you hope to gain.

Example

“I hope to gain hands-on experience in data analysis and project management while working alongside experienced professionals. I am eager to learn about the practical applications of data analytics in transportation planning and contribute to meaningful projects.”