To succeed in the Verisk Analytics interview process, you must approach your preparation systematically. The hiring team evaluates candidates across several core dimensions, looking for individuals who can not only perform data tasks but also drive strategic outcomes.

Technical & SQL Proficiency – You must demonstrate a solid understanding of data structures and database querying. Interviewers want to see that you can write clean SQL queries, understand data relationships, and use data to back up your business recommendations.

Structured Problem-Solving – When faced with market sizing or estimation cases, your final answer matters less than the framework you use to get there. Focus on breaking down the problem into logical, manageable components and clearly explaining your assumptions.

Requirement Gathering & Communication – You need to show that you can act as a reliable translator between business stakeholders and technical teams. This involves active listening, asking targeted discovery questions, and documenting requirements clearly and concisely.

Cultural Alignment & Collaboration – Verisk Analytics values teamwork, integrity, and client focus. You should be prepared to share concrete examples of how you have built consensus, navigated workplace challenges, and delivered exceptional value to clients.

The interview process for a Business Analyst at Verisk Analytics typically spans three to five stages, depending on the specific business unit and location. The process is designed to evaluate both your technical capabilities and your behavioral fit, ensuring you have the skills required to thrive in a highly collaborative environment.

The journey usually begins with a screening conversation with a recruiter to align on your background, salary expectations, and interest in the role. This is followed by a hiring manager interview that dives deeper into your resume, domain knowledge, and past experiences. The final rounds generally consist of technical assessments—such as SQL queries or online aptitude tests—and a panel interview. During the panel, you may be asked to present a past project or participate in a simulated client role-play exercise.

This timeline outlines the typical progression from your initial application to the final offer stage. Use this visual guide to pace your preparation, ensuring you allocate sufficient time to practice technical queries before the assessment phase and refine your presentation skills before the panel round.

To stand out, you must understand the specific competencies evaluated during the core phases of the interview process.

SQL & Data Manipulation

This area tests your ability to query databases and manipulate data to answer business questions. Verisk Analytics relies heavily on data integrity, so your technical approach must be precise.

Be ready to go over:

• Query optimization – Writing efficient queries that minimize processing time on large datasets.
• Data cleaning – Identifying and handling null values, duplicates, and inconsistent data formats.
• Relational database concepts – Understanding primary keys, foreign keys, and different types of table joins.
• Advanced concepts (less common) – Utilizing window functions, subqueries, and common table expressions (CTEs) to solve complex data problems.

Example scenarios:

• "You are given a table of client transactions. Write a query to identify all duplicate transactions processed on the same day."
• "Explain how you would join a client demographic table with an insurance claims table to find the average claim amount by age group."

Estimation & Business Cases

These exercises evaluate how you think under pressure and how you structure your thoughts when faced with incomplete information.

Be ready to go over:

• Market sizing frameworks – Breaking down populations, adoption rates, and average spend.
• Revenue model analysis – Identifying how businesses make money and how product changes affect profitability.
• Assumption validation – Clearly stating and justifying the assumptions you make during estimation.

Example scenarios:

• "Estimate the annual revenue generated by a popular credit card issuer from transaction fees alone."
• "How would you estimate the number of commercial buildings in New York City that require property insurance?"

Client Role-Play & Requirement Gathering

This interactive exercise evaluates your consulting skills, stakeholder management, and ability to extract business needs under simulated conditions.

Be ready to go over:

• Active listening – Identifying pain points and underlying needs rather than just taking orders.
• Discovery questioning – Asking open-ended questions to uncover technical constraints, user personas, and project goals.
• Scope management – Handling unrealistic expectations or out-of-scope requests diplomatically.

Example scenarios:

• "You have 15 minutes to prepare for a meeting with a client who wants to migrate from their legacy risk-modeling software to our platform. What questions do you ask to scope the project?"
• "A stakeholder insists on adding a feature that will delay the product launch by two months. How do you handle this conversation?"

Project Presentation

In this stage, you will present a past project to a panel of interviewers. This evaluates your communication style, technical depth, and ability to handle live questioning.

Be ready to go over:

• Project context – Clearly defining the business problem, your specific role, and the ultimate outcome.
• Methodology – Explaining how you gathered requirements, analyzed data, and collaborated with technical teams.
• Q&A handling – Answering technical and methodological questions from the panel confidently and transparently.

Example scenarios:

• "Present a 10-minute slide deck on a data-driven project you completed in a previous role, focusing on your methodology and the business impact."
• "Defend the data sources and analytical methods you chose for your presented project when questioned by the technical panel."