Informa Tech Data Analyst Interview Questions + Guide in 2025

Informa Tech is a leading international organization that provides specialized information and insights, connecting the tech community through innovative research and industry events.

The Data Analyst role at Informa Tech is vital for driving data-informed decision-making across various business units. Responsibilities include collecting, analyzing, and interpreting data to generate actionable insights that guide strategic initiatives. The ideal candidate will demonstrate strong analytical skills, particularly in statistics and probability, complemented by proficiency in SQL for data querying. A solid understanding of market dynamics, especially in technology trends, and the ability to communicate findings effectively to both technical and non-technical stakeholders are crucial. Additionally, a proactive and collaborative mindset aligns with Informa Tech's values of accountability and quality, fostering a supportive and innovative work environment.

This guide aims to equip you with targeted insights and preparation strategies to excel in your interview for the Data Analyst position at Informa Tech.

The interview process for a Data Analyst position at Informa Tech is structured to assess both technical and interpersonal skills, ensuring candidates are well-suited for the role and the company culture.

1. Initial Screening

The process typically begins with an initial phone screening conducted by a recruiter. This conversation lasts about 30 minutes and focuses on your background, skills, and motivations for applying to Informa Tech. The recruiter will also provide insights into the company culture and the specifics of the Data Analyst role, allowing you to gauge your fit within the organization.

2. Assessment Test

Following the initial screening, candidates may be required to complete an assessment test. This test often includes tasks that evaluate your proficiency in data analysis, particularly using Excel, as well as your ability to interpret data and generate insights. The assessment may take a couple of days to complete and could involve writing an essay or performing advanced analytical tasks.

3. Technical Interview

Candidates who pass the assessment will move on to a technical interview, which is typically conducted via video call. This interview focuses on your analytical skills, including your understanding of statistics, SQL, and data visualization techniques. You may be asked to solve problems in real-time or discuss past projects that demonstrate your analytical capabilities.

4. Behavioral Interview

The next step usually involves a behavioral interview, where you will meet with the hiring manager and possibly other team members. This interview assesses your soft skills, such as communication, teamwork, and problem-solving abilities. Expect questions that explore how you handle tight deadlines, manage stakeholder expectations, and collaborate with cross-functional teams.

5. Final Interview

The final stage often includes a face-to-face interview at the company’s office, where you will have the opportunity to meet with senior executives or a panel of interviewers. This round may involve discussing your previous work experiences in detail, presenting your assessment results, and answering questions about your approach to data analysis and reporting.

Throughout the interview process, candidates are encouraged to ask questions about the company, team dynamics, and the specific challenges they might face in the role.

Now, let’s delve into the types of questions you might encounter during these interviews.

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

Understand the Interview Process

The interview process at Informa Tech can vary, but it typically includes multiple rounds, starting with a phone screening followed by in-person interviews. Be prepared for a structured process that may involve assessments, such as writing an essay or performing advanced Excel analyses. Familiarize yourself with the format and expectations of each round to ensure you are well-prepared.

Showcase Your Analytical Skills

As a Data Analyst, your ability to analyze and interpret data is crucial. Be ready to discuss your experience with statistical analysis, SQL, and data visualization tools. Prepare examples of how you've used these skills in past projects, particularly in generating insights that drove business decisions. Highlight your proficiency in Excel, as it is often a key tool in data analysis roles.

Prepare for Behavioral Questions

Informa Tech values candidates who can demonstrate their problem-solving abilities and adaptability. Expect behavioral questions that assess how you handle tight deadlines, manage multiple tasks, and work collaboratively with teams. Use the STAR (Situation, Task, Action, Result) method to structure your responses, providing clear examples that illustrate your competencies.

Emphasize Communication Skills

Effective communication is essential in this role, as you will need to present your findings to various stakeholders. Be prepared to discuss how you have communicated complex data insights to non-technical audiences in the past. Practice articulating your thoughts clearly and concisely, as this will be crucial during your interviews.

Align with Company Values

Informa Tech places a strong emphasis on its core values, including accountability, quality, and a global mindset. Familiarize yourself with these values and think about how your personal values align with them. Be ready to discuss how you embody these principles in your work and how you can contribute to the company culture.

Ask Insightful Questions

Demonstrate your interest in the role and the company by preparing thoughtful questions to ask your interviewers. Inquire about the team dynamics, the types of projects you would be working on, and how success is measured in the role. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.

Follow Up Professionally

After your interviews, 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 reinforces your fit for the role. This small gesture can leave a positive impression and keep you top of mind for the hiring team.

By following these tips and preparing thoroughly, you can position yourself as a strong candidate for the Data Analyst role at Informa Tech. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Data Analyst interview at Informa Tech. The interview process will likely focus on your analytical skills, understanding of data management principles, and ability to communicate insights effectively. Be prepared to discuss your experience with data analysis, SQL, and how you approach problem-solving in a data-driven environment.

Data Analysis and SQL

1. Can you describe a project where you used data analysis to drive business decisions?

This question aims to assess your practical experience in data analysis and its impact on business outcomes.

How to Answer

Discuss a specific project where your analysis led to actionable insights. Highlight the data sources you used, the analytical methods applied, and the results achieved.

Example

“In my previous role, I analyzed customer purchase data to identify trends in buying behavior. By segmenting the data and applying regression analysis, I discovered that certain promotions significantly increased sales in specific demographics. This insight led to a targeted marketing campaign that boosted sales by 20% in those segments.”

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

This question evaluates your understanding of data quality and management practices.

How to Answer

Explain the processes you follow to validate data, such as data cleaning, cross-referencing with reliable sources, and using automated tools for data integrity checks.

Example

“I implement a multi-step validation process that includes data cleaning, consistency checks, and cross-referencing with external databases. Additionally, I regularly review data entry processes to minimize errors and ensure that our datasets remain accurate and reliable.”

3. What SQL functions do you find most useful for data analysis?

This question tests your technical skills in SQL and your ability to leverage it for analysis.

How to Answer

Mention specific SQL functions you frequently use, such as JOINs, GROUP BY, and window functions, and explain how they help you in your analysis.

Example

“I often use JOINs to combine data from multiple tables, which allows me to create comprehensive datasets for analysis. The GROUP BY function is essential for aggregating data, and I frequently use window functions to calculate running totals and averages, which provide deeper insights into trends over time.”

4. Describe a time when you had to present complex data findings to a non-technical audience.

This question assesses your communication skills and ability to convey technical information clearly.

How to Answer

Share an experience where you simplified complex data insights for a non-technical audience, focusing on your approach to making the information accessible.

Example

“I once presented a detailed market analysis to the marketing team, which included complex statistical models. To make it understandable, I created visualizations that highlighted key trends and used analogies to explain the statistical concepts. This approach helped the team grasp the insights quickly and apply them to their strategies.”

Statistics and Probability

5. How do you apply statistical methods in your data analysis?

This question evaluates your understanding of statistical concepts and their application in real-world scenarios.

How to Answer

Discuss specific statistical methods you use, such as hypothesis testing, regression analysis, or A/B testing, and provide examples of how they have informed your decisions.

Example

“I frequently use regression analysis to identify relationships between variables. For instance, I analyzed the impact of pricing changes on sales volume, which allowed us to optimize our pricing strategy based on statistical evidence.”

6. Can you explain the concept of p-value and its significance in hypothesis testing?

This question tests your knowledge of statistical significance and hypothesis testing.

How to Answer

Define p-value and explain its role in determining the significance of results in hypothesis testing.

Example

“The p-value indicates the probability of observing the results given that the null hypothesis is true. A low p-value (typically less than 0.05) suggests that we can reject the null hypothesis, indicating that our findings are statistically significant and not due to random chance.”

Behavioral Questions

7. Describe a situation where you had to meet tight deadlines. How did you handle it?

This question assesses your time management and prioritization skills.

How to Answer

Share a specific example of a time you faced tight deadlines, detailing how you organized your tasks and managed your time effectively.

Example

“In a previous role, I was tasked with delivering a comprehensive report within a week. I prioritized my tasks by breaking the project into smaller milestones and set daily goals. By maintaining open communication with my team and stakeholders, I ensured that I met the deadline without compromising the quality of the analysis.”

8. How do you handle feedback and criticism of your work?

This question evaluates your ability to accept feedback and improve your work.

How to Answer

Discuss your approach to receiving feedback, emphasizing your willingness to learn and adapt.

Example

“I view feedback as an opportunity for growth. When I receive constructive criticism, I take the time to reflect on it and identify areas for improvement. For instance, after receiving feedback on a presentation, I sought additional training in data visualization to enhance my skills for future presentations.”