Acrisure Technology Group Data Analyst Interview Questions + Guide in 2025

Acrisure Technology Group is rapidly establishing itself as a leading player in the insurance brokerage sector, renowned for its innovative approach and client-centric business model.

As a Data Analyst at Acrisure, you will play a pivotal role in driving digital transformation by delivering insightful analysis and strategic recommendations to both technical and non-technical stakeholders. Your key responsibilities will include partnering with cross-functional teams to address complex business questions, utilizing exploratory data analysis techniques to uncover meaningful patterns from large datasets, and tracking the performance of various initiatives. You will also be responsible for developing metrics and reporting that support business operations and enable effective self-service analysis for stakeholders.

The ideal candidate will possess 2+ years of experience in data analytics or related quantitative fields, with strong proficiency in SQL and experience building dashboards using Power BI or Tableau. A solid understanding of Clickstream data, effective communication skills, and a creative, team-oriented mindset are essential traits for success in this role. Being able to handle ambiguity and iterate solutions to meet evolving business needs will also be crucial, as Acrisure's fast-paced environment demands adaptability and proactive collaboration.

This guide will help you prepare for your interview by providing insights into the role's expectations, the skills required, and the company culture, enabling you to effectively showcase your qualifications and fit for Acrisure Technology Group.

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

1. Initial Phone Screen

The first step is a brief phone screen, usually lasting around 30 minutes, conducted by an HR representative. This conversation focuses on your background, experience, and motivation for applying to Acrisure. The recruiter will also gauge your understanding of the role and its requirements, as well as your alignment with the company culture.

2. Technical Assessment

Following the initial screen, candidates may be required to complete a technical assessment. This could involve a take-home assignment or a live coding session, where you will demonstrate your proficiency in SQL and your ability to analyze data. Expect to tackle questions that assess your understanding of exploratory data analysis techniques, as well as your capability to derive insights from complex datasets.

3. In-Depth Interview

The next stage is an in-depth interview, typically lasting about an hour, with a hiring manager or a member of the data analytics team. This interview will delve deeper into your technical skills, including your experience with data visualization tools like Power BI or Tableau, and your familiarity with clickstream data. Behavioral questions will also be a significant part of this round, focusing on how you handle ambiguity and collaborate with cross-functional teams.

4. Final Interview

The final interview may involve multiple stakeholders, including team members and leadership. This round is designed to assess your fit within the team and the broader company culture. You will likely be asked to discuss past projects, your approach to data storytelling, and how you track performance metrics. This is also an opportunity for you to ask questions about the team dynamics and the company's vision for digital transformation.

As you prepare for these interviews, it's essential to be ready for a variety of questions that will test your analytical skills and your ability to communicate complex data insights effectively.

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

Understand the Company Culture

Acrisure Technology Group prides itself on a collaborative and entrepreneurial culture. Familiarize yourself with their business model and values, as well as their rapid growth trajectory in the insurance industry. Be prepared to discuss how your personal values align with their mission of creating value and being a good partner. Demonstrating an understanding of their culture will show that you are not only a fit for the role but also for the company as a whole.

Prepare for Behavioral Questions

Expect to encounter behavioral questions that assess your problem-solving abilities and how you handle ambiguity. Given the nature of the role, you may be asked to provide examples of how you've dealt with complex data sets or made data-driven decisions in previous positions. Use the STAR (Situation, Task, Action, Result) method to structure your responses, ensuring you highlight your analytical skills and ability to communicate insights effectively.

Brush Up on Technical Skills

Given the emphasis on SQL and data visualization tools like Power BI or Tableau, ensure you are well-versed in these areas. Practice writing complex SQL queries and building dashboards that can effectively communicate data insights. Additionally, familiarize yourself with exploratory data analysis techniques, as you may be asked to demonstrate your ability to identify trends and patterns from data.

Be Ready for Cross-Functional Collaboration

The role requires partnering with various teams to deliver insights and recommendations. Be prepared to discuss your experience working in cross-functional teams and how you’ve successfully communicated complex data findings to both technical and non-technical stakeholders. Highlight any instances where your analysis led to actionable business decisions.

Show Your Passion for Data

Acrisure is looking for candidates who are not only skilled but also passionate about data analytics. Share your enthusiasm for the field and any personal projects or continuous learning efforts you’ve undertaken. This could include online courses, certifications, or even personal data analysis projects that showcase your skills and commitment to growth.

Prepare for a Fast-Paced Environment

Given Acrisure's rapid growth and dynamic environment, be ready to discuss how you handle fast-paced situations and adapt to changing business needs. Provide examples of how you've successfully navigated ambiguity in previous roles and how you prioritize tasks to meet deadlines.

Follow Up Professionally

After your interview, send a thoughtful follow-up email thanking your interviewers for their time. Use this opportunity to reiterate your interest in the role and briefly mention a key point from your discussion that reinforces your fit for the position. This not only shows professionalism but also keeps you top of mind as they make their decision.

By following these tips, you will be well-prepared to showcase your skills and fit for the Data Analyst role at Acrisure Technology Group. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Data Analyst interview at Acrisure Technology Group. The interview process will likely focus on your analytical skills, experience with data visualization tools, and ability to communicate insights effectively. Be prepared to discuss your technical expertise, particularly in SQL and data analysis, as well as your experience in collaborating with cross-functional teams.

Technical Skills

1. How do you approach exploratory data analysis (EDA) when working with a new dataset?

Understanding your methodology for EDA is crucial, as it demonstrates your ability to derive insights from data.

How to Answer

Discuss the steps you take to familiarize yourself with the data, including data cleaning, identifying patterns, and visualizing key metrics.

Example

“I start by cleaning the data to handle any missing or inconsistent values. Then, I use visualizations to identify trends and relationships, focusing on key metrics that align with the business objectives. This helps me formulate hypotheses and guide further analysis.”

2. Can you explain how you would use SQL to extract meaningful insights from a large dataset?

SQL proficiency is essential for this role, and your ability to manipulate data will be assessed.

How to Answer

Highlight your experience with SQL queries, including joins, aggregations, and filtering techniques to derive insights.

Example

“I would use SQL to write complex queries that join multiple tables, allowing me to aggregate data and filter it based on specific criteria. For instance, I might analyze customer engagement by joining user activity logs with demographic data to identify trends in user behavior.”

3. Describe a time when you had to present complex data findings to a non-technical audience. How did you ensure they understood?

This question assesses your communication skills and ability to translate data into actionable insights.

How to Answer

Explain your approach to simplifying complex information and using visuals to aid understanding.

Example

“In a previous role, I presented findings on customer retention rates to the marketing team. I used clear visuals and avoided jargon, focusing on key takeaways and actionable recommendations. This approach helped the team grasp the insights quickly and implement changes effectively.”

4. What techniques do you use to validate the results of your data analysis?

Validation is key to ensuring the accuracy of your findings, and interviewers will want to know your methods.

How to Answer

Discuss the importance of cross-validation, peer reviews, and comparing results against known benchmarks.

Example

“I validate my results by cross-referencing them with historical data and conducting peer reviews. Additionally, I often use A/B testing to compare outcomes and ensure that my recommendations are backed by solid evidence.”

5. How do you handle ambiguous data or situations where data is incomplete?

Your ability to navigate uncertainty is critical in data analysis roles.

How to Answer

Share your strategies for dealing with incomplete data, such as making educated assumptions or seeking additional information.

Example

“When faced with ambiguous data, I first assess the impact of the missing information on my analysis. If necessary, I make informed assumptions based on available data and document these assumptions clearly. I also communicate with stakeholders to gather additional context that may help clarify the situation.”

Business Acumen

1. Why do you want to work at Acrisure Technology Group, and how do you see your role contributing to our goals?

This question gauges your motivation and understanding of the company’s mission.

How to Answer

Express your enthusiasm for the company’s growth and how your skills align with their objectives.

Example

“I’m excited about Acrisure’s rapid growth and commitment to innovation in the insurance industry. I believe my analytical skills can help drive data-driven decisions that enhance client service and support the company’s ambitious goals.”

2. Can you provide an example of how you used data to influence a business decision?

This question assesses your impact on previous roles and your ability to drive change through data.

How to Answer

Share a specific instance where your analysis led to a significant business outcome.

Example

“In my last position, I analyzed customer feedback data and identified a trend indicating dissatisfaction with a specific product feature. I presented my findings to the product team, which led to a redesign that improved customer satisfaction scores by 20%.”

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

Time management is crucial in a fast-paced environment, and interviewers will want to know your approach.

How to Answer

Discuss your methods for prioritizing tasks based on deadlines, impact, and stakeholder needs.

Example

“I prioritize my tasks by assessing deadlines and the potential impact of each project. I use project management tools to keep track of progress and regularly communicate with stakeholders to ensure alignment on priorities.”

4. What metrics do you consider most important when evaluating the success of a digital product?

Understanding key performance indicators (KPIs) is vital for this role.

How to Answer

Identify relevant metrics that align with business objectives and explain why they matter.

Example

“I consider metrics such as user engagement, conversion rates, and customer retention as critical indicators of a digital product’s success. These metrics provide insights into user behavior and help identify areas for improvement.”

5. How do you ensure that your analysis aligns with the strategic goals of the organization?

This question assesses your ability to connect data analysis with broader business objectives.

How to Answer

Explain your approach to understanding the company’s goals and how you tailor your analysis accordingly.

Example

“I ensure my analysis aligns with organizational goals by regularly communicating with stakeholders to understand their priorities. I also stay informed about the company’s strategic initiatives, allowing me to focus my analysis on areas that will drive the most value.”