At Verisk Analytics, a Consultant plays a pivotal role in bridging the gap between sophisticated data analytics and strategic business decisions. As a leading global data analytics and risk assessment firm, Verisk Analytics serves critical industries such as insurance, energy, financial services, and specialized risk management markets. In this role, you are not just analyzing data; you are translating complex quantitative insights into actionable strategies that help clients protect their assets, optimize operations, and manage risk in highly volatile environments.

The impact of a Consultant is felt directly in how clients navigate uncertainty. Whether you are working on catastrophe modeling, predictive analytics, or strategic risk advisory, your work influences the core products and decision-making frameworks of some of the world's largest enterprises. This requires a unique blend of technical execution—using tools like SQL, Python, and Excel—and high-level strategic thinking to deliver tailored solutions to complex, ambiguous business problems.

This position is highly collaborative and intellectually demanding. You will work closely with data scientists, software engineers, and domain experts to deliver high-quality advisory services. If you thrive on solving unstructured problems, presenting data-driven narratives to senior stakeholders, and leveraging cutting-edge analytics to drive real-world impact, the Consultant role at Verisk Analytics offers an exceptionally rewarding and strategically influential career path.

Our analysis of real interview experiences shows that the questions you face will test both your technical capabilities and your strategic problem-solving skills. The interview process is structured to identify candidates who can write code, manipulate databases, and communicate technical findings clearly to non-technical stakeholders.

Technical & Programming

These questions evaluate your fundamental coding, database querying, and data manipulation skills. Expect a focus on relational databases and basic data structures.

• Write a SQL query to join two tables and aggregate data using group-by functions.
• How do you handle missing or null values in a SQL database?

To succeed in the Verisk Analytics interview process, you must demonstrate a balanced skill set that spans technical capability and client-facing advisory skills. Your preparation should be structured around the core criteria that the hiring teams value most.

Technical Execution – You must be proficient in the core tools of modern data analysis. This means being able to write clean SQL queries, handle data structures in Python, and pass timed quantitative tests in Excel. Interviewers look for accuracy, efficiency, and clean code.

Structured Problem Solving – When presented with business cases or analytical challenges, your approach matters as much as the final answer. You must show that you can break down ambiguous problems into logical, manageable components, formulate hypotheses, and validate them using data.

Presentation & Communication – As a Consultant, you are the face of the company’s analytical capabilities. You must be able to present your findings clearly, design professional slides, and defend your analytical assumptions under questioning from senior partners or clients.

Culture Fit & Adaptability – Verisk Analytics values collaboration, continuous learning, and intellectual curiosity. You should be prepared to discuss how you navigate team dynamics, handle feedback, and maintain high standards of integrity in your work.

The interview process for a Consultant at Verisk Analytics is structured to evaluate your technical foundation, business acumen, and communication skills through a series of distinct stages. While the exact flow can vary slightly by location and team specialization, the overall journey is designed to be rigorous, transparent, and highly communicative.

The process typically begins with an initial HR screening call to discuss your background, career goals, and alignment with the role. Following this, you will transition into technical and analytical assessments, which frequently include timed online aptitude tests, SQL/Python coding rounds, or a dedicated Excel assessment. For candidates advancing to the final stages, you will experience in-depth technical interviews, behavioral evaluations with hiring managers, or a comprehensive on-site panel where you may be asked to deliver structured presentations on pre-assigned topics.

The timeline above illustrates the typical progression from the initial application screen through to the final decision. You should use this framework to pace your preparation, ensuring you master the technical basics before moving on to advanced case studies and presentation practice. Note that the gap between rounds is generally tight, so keeping your technical skills sharp from day one is highly recommended.

Data & Quantitative Aptitude

This area evaluates your hands-on analytical capabilities. You will be tested on your ability to manipulate data efficiently and write accurate code under time constraints.

Be ready to go over:

• SQL Queries – Writing joins, subqueries, group-by clauses, and window functions to extract specific data segments.
• Python Fundamentals – Working with core data structures like lists and dictionaries, and demonstrating clean pseudo-code logic.
• Aptitude & Reasoning – Completing analytical tests that measure logical reasoning, sometimes featuring negative marking for incorrect answers.

Example scenarios:

• Writing a Python script to filter and aggregate customer transaction data from a dictionary format.
• Completing a timed Excel exercise to clean a raw dataset and build a summary dashboard for a client report.

Case Analysis & Industry Expertise

This evaluation area tests your strategic thinking and domain knowledge. You will face business cases that mirror real-world consulting engagements at Verisk Analytics.

Be ready to go over:

• Structured Frameworks – Organizing your thoughts logically when tackling open-ended business problems.
• Risk Assessment – Understanding how risk is quantified, modeled, and mitigated in sectors like insurance or energy.
• Advanced concepts (less common) – Catastrophe modeling concepts, predictive risk scoring methodologies, and regulatory compliance frameworks.

Example scenarios:

• Analyzing a case study presented by a partner to determine how a commercial insurer should price policies in a climate-sensitive region.
• Walking an interviewer through the steps of building a predictive model to assess supply chain risks for a global logistics client.

Presentation & Structured Communication

For many senior or specialized consulting tracks, you will be required to deliver structured presentations to the hiring team. This tests your ability to synthesize information and command a room.