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Avison YoungData Analyst
Updated ยท Reviewed by the Dataford team

Avison Young Data Analyst interview questions & guide 2026

Every question Avison Young interviewers actually ask, the frameworks that win the room, and the language hiring managers respond to.

3 rounds ยท โ‰ˆ 3-5 weeks
1
HR Screening
2
Technical Interview
3
Management Interview

1. What is a Data Analyst at Avison Young?

As a Data Analyst at Avison Young, you serve as a critical bridge between raw information and strategic commercial real estate insights. Your work is essential to helping the firm interpret market trends, optimize portfolio performance, and provide data-backed recommendations to clients. By transforming complex datasets into actionable narratives, you directly influence the decision-making processes that drive business outcomes.

The role offers a unique opportunity to work within a global real estate services firm where data integrity and analytical rigor are highly valued. You will likely collaborate with cross-functional teams to streamline reporting, identify operational efficiencies, and support the broader goals of the organization. Because the real estate landscape is dynamic, you can expect a role that balances technical precision with a need for clear, professional communication.

2. Common Interview Questions

Interviews at Avison Young prioritize a clear understanding of your professional journey and your motivations. The following questions are representative of the patterns reported by recent candidates; use these to refine your ability to articulate your experience concisely.

Experience and Background

These questions test your ability to walk through your resume, explain the impact of your previous work, and connect your past technical projects to the needs of the firm.

  • Can you walk me through your experience as listed on your resume?
  • Can you describe a specific project where you used data to solve a complex problem?
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03 ยท Question bank

The questions most likely to come up

Sorted by relevance to this company
Calculate Monthly Sales Growth by Product CategoryMedium
Calculate month-over-month sales growth for each product category using JOINs and window functions.
JoinsAggregations
Recently asked
Evaluate Feature Success Metrics for New App UpdateMedium
Identify key metrics to assess the success of a new feature in a mobile app update and propose a metric evaluation strategy.
KPIsEngagement Metrics
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3. Getting Ready for Your Interviews

Preparation for Avison Young should focus on clarity, honesty, and a deep familiarity with your own professional narrative. Because the interview process is often conversational, your ability to articulate the "why" behind your technical decisions is just as important as the technical skill itself.

Role-related knowledge โ€“ You must be prepared to discuss the specific tools and techniques you have mastered. Interviewers look for evidence that you can apply your technical toolkit to real-world business scenarios.

Communication and Clarity โ€“ Since you will be presenting insights to various stakeholders, your ability to explain complex concepts in simple terms is a primary evaluation point. Practice summarizing your past projects to ensure you can highlight the most impactful outcomes clearly.

Professional Alignment โ€“ Demonstrating that you have researched Avison Young and understand the importance of data in a commercial real estate context will help you stand out. Be ready to explain how your analytical background will add immediate value to their current operations.

4. Interview Process Overview

The interview process at Avison Young is generally straightforward and emphasizes a friendly, professional dialogue. Candidates typically experience a series of interviews that evolve from initial screenings to more technical or role-specific discussions with management. The pace is professional, and the environment is reported as welcoming, focusing on understanding your personality and technical competency.

06 ยท The loop

The interview process, end to end

โ‰ˆ 3-5 weeks ยท 3 rounds
1
HR Screening

Initial screening conducted by HR to assess candidate fit and qualifications.

2
Technical Interview

Role-specific discussions focusing on technical competency and project details.

3
Management Interview

Interviews with management to evaluate deeper insights into the candidate's skills and personality.

The visual timeline above illustrates the typical progression from an initial HR screening through to interviews with management. Candidates should interpret this as a path of increasing depth, where each stage builds upon the last. Use this to pace your preparation, ensuring you are ready to discuss both high-level career goals and specific technical project details as you move toward the final rounds.

5. Deep Dive into Evaluation Areas

Technical Proficiency

This area evaluates your hands-on ability to handle data. While the process is described as accessible, you should be prepared to discuss the specific software and methodologies you use to clean, analyze, and visualize data. Strong performance involves demonstrating a systematic approach to data quality and accuracy.

Be ready to go over:

  • Data Cleaning โ€“ How you handle missing or inconsistent data in your workflows.
  • Reporting and Visualization โ€“ Your process for translating raw numbers into meaningful dashboards or reports.
  • Analytical Tooling โ€“ Proficiency in the standard industry tools used for data manipulation and statistical analysis.

Communication and Stakeholder Interaction

As a Data Analyst, you will often act as an internal consultant. Interviewers look for your ability to explain your findings to non-technical stakeholders. Strong performance is defined by your ability to focus on the business impact of your analysis rather than just the technical execution.

Be ready to go over:

  • Translating Data โ€“ How you communicate technical insights to non-technical managers.
  • Problem-Solving โ€“ Your methodology for approaching an ambiguous business request.
  • Collaboration โ€“ How you work with cross-functional teams to source the data you need.
08 ยท Topic breakdown

What they actually test for

Topic distribution
All topics
Data AnalysisResume Review / Technical StorytellingExperience-Based InterviewingCommunication SkillsMotivation for Role (Why Data Analyst)

6. Key Responsibilities

As a Data Analyst, your daily life will revolve around ensuring that data is accurate, accessible, and actionable. You will be responsible for maintaining data integrity across various systems, preparing recurring reports for management, and performing ad-hoc analysis to support specific business initiatives.

Collaboration is a cornerstone of this role. You will work closely with departments such as operations, finance, or marketing to provide the metrics they need to track performance. Your ability to manage these relationships while maintaining high standards for your data outputs is what will define your success in the position.

7. Role Requirements & Qualifications

A strong candidate for this role possesses a blend of analytical rigor and professional maturity. While technical skills are the foundation, your ability to apply those skills within a corporate framework is what makes you competitive.

  • Must-have skills โ€“ Proficiency in data analysis software (such as SQL, Excel, or BI tools), strong attention to detail, and a clear, professional communication style.
  • Nice-to-have skills โ€“ Experience in the real estate sector, knowledge of data visualization best practices, and experience with database management.

Candidates are expected to have a solid background in data-driven roles, typically demonstrated by prior experience where they were responsible for reporting, data maintenance, or analytical support.

8. Frequently Asked Questions

Q: How difficult are the interviews at Avison Young? A: Candidates generally describe the process as accessible and friendly. If you are well-versed in your resume and can clearly explain your past projects, you will be well-positioned to succeed.

Q: How much time should I spend preparing? A: While the process is not overly complex, you should dedicate time to reviewing your own work history in detail. Being able to explain the "why" and "how" of your past technical projects is key.

Q: What is the company culture like? A: The culture is reported as professional and collaborative. You will find that interviewers are interested in how you work within a team and how you approach professional challenges.

Q: How long does the hiring process typically take? A: The process generally involves a few rounds of interviews. While it can vary by location and team, it is designed to be efficient and respectful of your time.

9. Other General Tips

  • Know Your Resume โ€“ Be prepared to provide specific examples from your past work for every point listed on your CV.
  • Focus on Impact โ€“ When describing your experience, emphasize the "so what?" factorโ€”what was the result of your analysis?
  • Stay Professional โ€“ The tone at Avison Young is professional and goal-oriented; ensure your communication reflects this.
  • Practice Your Narrative โ€“ Prepare a concise, 2-minute "elevator pitch" about your background and why you are interested in this specific role.

10. Summary & Next Steps

The Data Analyst role at Avison Young is a fantastic opportunity to apply your analytical skills in a high-impact, professional environment. By focusing on your technical foundations, practicing how you communicate your results, and clearly articulating your professional journey, you will be well-prepared to excel in your interviews. You can explore additional interview insights, practice questions, and preparation resources on Dataford to sharpen your approach.

14 ยท Compensation

What this role pays

8 reports
USUSD
Estimated total compLow confidence ยท 8 data points
$0k-$0k
Median $71k / year
Base salary ยท 100%Stock (RSU) ยท 0%Cash bonus ยท 0%
25thEntry / smaller markets
$62k
50thTypical offer
$71k
90thTop performers / major metros
$80k
Breakdown by component
Base salary
100% of total
$62k$80k
$71k
median
Stock (RSU)
0% of total
$0$0
$0
median
Cash bonus
0% of total
$0$0
$0
median
Aggregated from 8 self-reported salaries via Glassdoor. Estimates only. Verify against your offer.

The compensation data provided above reflects the expected salary range for this position. Candidates should interpret these figures as a market-based baseline, keeping in mind that total compensation may vary based on experience, location, and specific team requirements. Use this information to inform your expectations and prepare for potential benefit and salary negotiations during the final stages of the process.

17 ยท FAQ

Avison Young Data Analyst interview FAQ

Answered from real candidate and compensation data
How many rounds is the Avison Young Data Analyst interview process?
Candidates report 3 stages: HR Screening, Technical Interview, and Management Interview. The interview process section above breaks down what each stage covers.
How much does a Data Analyst at Avison Young make?
Reported compensation for Data Analyst roles at Avison Young ranges from roughly $62k base to $80k total per year, varying by level, team, and location.
What topics come up in the Avison Young Data Analyst interview?
Avison Young Data Analyst interviews most often cover Data Analysis, Resume Review / Technical Storytelling, Experience-Based Interviewing, Communication Skills, and Motivation for Role (Why Data Analyst), based on topics extracted from real candidate reports.
What questions does Avison Young ask Data Analyst candidates?
Recent candidates report questions like "Calculate Monthly Sales Growth by Product Category" and "Evaluate Feature Success Metrics for New App Update". The question bank above tracks 20 questions for this role, ranked by how often they come up in Avison Young interviews.