Verisk Analytics Product Analyst Interview Questions + Guide in 2025

Verisk Analytics is a leading data analytics company that provides insights and solutions for the insurance industry and other sectors, leveraging vast data assets to empower businesses in their decision-making processes.

As a Product Analyst at Verisk Analytics, you will play a pivotal role in advancing the company's Software as a Service (SAAS) product suite, specifically tailored for the Property and Casualty (P&C) insurance market. This position involves key responsibilities such as analyzing product performance metrics, utilizing SQL for data extraction and manipulation, and employing machine learning techniques to generate actionable insights. You will collaborate closely with cross-functional teams to ensure that the product aligns with market needs and business objectives. A strong foundation in analytics, product metrics, and a keen understanding of the insurance landscape will greatly enhance your effectiveness in this role.

Verisk values analytical rigor, innovation, and collaboration, making it essential for candidates to demonstrate not only technical skills but also a strategic mindset and the ability to communicate findings effectively. This guide aims to equip you with the necessary knowledge and confidence to excel in your interview for the Product Analyst position, focusing on the skills and experiences that are most relevant to Verisk's mission and your potential contributions to the team.

The interview process for a Product Analyst at Verisk Analytics is structured to assess both technical skills and cultural fit within the organization. It typically consists of several stages, each designed to evaluate different competencies relevant to the role.

1. Initial Screening

The process begins with an initial phone screening conducted by a recruiter. This conversation usually lasts around 30 minutes and focuses on your background, skills, and motivations for applying to Verisk. The recruiter will also assess your fit for the company culture and the specific requirements of the Product Analyst role.

2. Technical Assessment

Following the initial screening, candidates are often required to complete a technical assessment. This may take the form of an online coding challenge or a take-home project that tests your proficiency in SQL and Python, as well as your analytical skills. The assessment typically includes questions related to data manipulation, statistical analysis, and possibly a case study relevant to the insurance industry.

3. Video Interview

Candidates who perform well in the technical assessment will move on to a video interview. This round usually involves behavioral questions and discussions about your previous work experiences. You may also be asked to explain your approach to the technical assessment and any challenges you faced during the process. This stage is crucial for demonstrating your problem-solving skills and ability to communicate complex ideas clearly.

4. Onsite Interview

The final stage of the interview process is an onsite interview, which may consist of multiple rounds. During this phase, you will meet with various team members, including managers and senior leadership. Expect to engage in technical discussions, present your previous projects, and participate in case studies that simulate real-world scenarios you might encounter as a Product Analyst. This is also an opportunity for you to showcase your understanding of product metrics and analytics in the context of the insurance market.

5. Final Discussion

After the onsite interviews, there may be a final discussion with HR or senior management to address any remaining questions and discuss your potential fit within the team. This is also the stage where salary expectations and other logistical details are typically discussed.

As you prepare for your interview, it's essential to be ready for the specific questions that may arise during each stage of the process.

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

Understand the Product and Market

Familiarize yourself with Verisk Analytics' product suite, especially its focus on the property and casualty (P&C) insurance market. Understanding the nuances of the insurance industry, including key metrics and challenges, will allow you to speak knowledgeably about how your skills can contribute to the company's goals. Be prepared to discuss how data-driven insights can enhance product offerings and improve customer experiences.

Prepare for Technical Assessments

Given the emphasis on SQL and product metrics in the role, ensure you are comfortable with SQL queries, including joins, filters, and aggregations. Practice coding challenges that involve data manipulation and analysis, as these are common in the interview process. Additionally, brush up on your knowledge of product metrics and how to measure the success of a product. Be ready to discuss how you would approach analyzing product performance and making data-driven recommendations.

Showcase Your Analytical Skills

During the interview, you may be asked to present a case study or a take-home project. Choose a project that highlights your analytical skills and your ability to derive actionable insights from data. Be prepared to explain your thought process, the methodologies you used, and the impact of your findings. This is an opportunity to demonstrate your problem-solving abilities and your understanding of how to apply analytics in a business context.

Emphasize Communication and Collaboration

Verisk values teamwork and collaboration, so be ready to discuss your experiences working in teams. Highlight instances where you successfully communicated complex data findings to non-technical stakeholders or collaborated with cross-functional teams to achieve a common goal. This will demonstrate your ability to bridge the gap between technical analysis and business strategy.

Prepare for Behavioral Questions

Expect behavioral questions that assess your fit within the company culture. Reflect on your past experiences and be ready to discuss challenges you've faced, how you overcame them, and what you learned from those experiences. Use the STAR (Situation, Task, Action, Result) method to structure your responses, ensuring you convey your thought process and the outcomes of your actions.

Be Ready for a Multi-Round Process

The interview process at Verisk typically involves multiple rounds, including technical assessments, behavioral interviews, and discussions with various team members. Stay organized and be prepared to discuss your resume in detail, as interviewers will likely ask about your previous projects and experiences. Approach each round with confidence and a positive attitude, as the interviewers are looking for candidates who not only have the right skills but also fit well within the team.

Follow Up with Insightful Questions

At the end of your interview, take the opportunity to ask insightful questions about the team, the product roadmap, and the company's vision for the future. This shows your genuine interest in the role and helps you assess whether Verisk is the right fit for you. Tailor your questions based on the discussions you've had during the interview to demonstrate your engagement and understanding of the company.

By following these tips and preparing thoroughly, you'll position yourself as a strong candidate for the Product Analyst role at Verisk Analytics. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Product Analyst interview at Verisk Analytics. The interview process will likely assess your technical skills in SQL, your understanding of product metrics, and your analytical abilities, particularly in the context of the insurance industry. Be prepared to discuss your previous experiences, present case studies, and demonstrate your problem-solving skills.

SQL and Data Analysis

1. Can you explain the difference between INNER JOIN and LEFT JOIN in SQL?

Understanding SQL joins is crucial for data analysis roles.

How to Answer

Clearly define both types of joins and provide examples of when you would use each.

Example

"An INNER JOIN returns only the rows where there is a match in both tables, while a LEFT JOIN returns all rows from the left table and the matched rows from the right table. For instance, if I have a table of customers and a table of orders, an INNER JOIN would show only customers who have placed orders, whereas a LEFT JOIN would show all customers, including those who haven't placed any orders."

2. How would you write a SQL query to find duplicate records in a table?

This question tests your practical SQL skills.

How to Answer

Outline the SQL syntax you would use and explain your thought process.

Example

"I would use a GROUP BY clause along with the COUNT function to identify duplicates. For example, SELECT column_name, COUNT(*) FROM table_name GROUP BY column_name HAVING COUNT(*) > 1; This query will return all values that appear more than once in the specified column."

3. Describe a complex SQL query you have written in the past. What was the purpose?

This question assesses your experience with SQL.

How to Answer

Discuss the complexity of the query and the problem it solved.

Example

"I once wrote a complex SQL query to analyze customer purchase patterns. It involved multiple joins across several tables, including customer demographics and transaction history. The goal was to identify trends in purchasing behavior, which helped the marketing team tailor their campaigns effectively."

4. How do you optimize SQL queries for performance?

This question evaluates your understanding of SQL performance tuning.

How to Answer

Mention techniques such as indexing, avoiding SELECT *, and analyzing query execution plans.

Example

"I optimize SQL queries by ensuring that I use indexes on columns that are frequently searched or joined. I also avoid using SELECT * and instead specify only the columns I need. Additionally, I analyze the query execution plan to identify any bottlenecks."

5. Can you explain what a window function is and provide an example?

Window functions are essential for advanced data analysis.

How to Answer

Define window functions and explain their use cases.

Example

"A window function performs a calculation across a set of table rows that are somehow related to the current row. For example, using ROW_NUMBER() OVER (PARTITION BY department ORDER BY salary DESC) allows me to rank employees within each department based on their salary."

Product Metrics and Business Analysis

1. What key performance indicators (KPIs) would you track for a SaaS product?

This question assesses your understanding of product metrics.

How to Answer

Discuss relevant KPIs and their importance.

Example

"I would track metrics such as Monthly Recurring Revenue (MRR), Customer Churn Rate, Customer Lifetime Value (CLV), and Net Promoter Score (NPS). These KPIs provide insights into revenue stability, customer satisfaction, and overall product health."

2. Describe a time when you used data to influence a product decision.

This question evaluates your analytical skills and impact on product development.

How to Answer

Provide a specific example where your analysis led to a significant decision.

Example

"In my previous role, I analyzed user engagement data and discovered that a significant portion of users dropped off during the onboarding process. I presented this data to the product team, which led to a redesign of the onboarding experience, resulting in a 20% increase in user retention."

3. How do you approach A/B testing for product features?

This question tests your knowledge of experimentation in product development.

How to Answer

Explain your methodology for conducting A/B tests.

Example

"I start by defining clear hypotheses and metrics for success. I then segment users randomly into control and test groups, ensuring that the sample size is statistically significant. After running the test for an appropriate duration, I analyze the results to determine if the new feature had a positive impact compared to the control."

4. What methods do you use to gather user feedback on a product?

This question assesses your understanding of user research.

How to Answer

Discuss various methods for collecting user feedback.

Example

"I utilize surveys, user interviews, and usability testing to gather feedback. Additionally, I analyze customer support tickets and reviews to identify common pain points and areas for improvement."

5. How would you prioritize features for a product roadmap?

This question evaluates your strategic thinking in product management.

How to Answer

Explain your prioritization framework.

Example

"I prioritize features based on a combination of user impact, alignment with business goals, and development effort. I often use frameworks like the RICE scoring model (Reach, Impact, Confidence, Effort) to objectively assess and rank features for the roadmap."