Analytics Engineer

Verisk; Lehi (UT); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Health insurance

Job summary

Verisk is seeking an Analytics Engineer to build the trusted data foundation that powers smarter decisions across the insurance ecosystem. You will partner with product, engineering, data science, and business stakeholders to design scalable data models, transform complex data into reliable analytical assets, and enable high-quality insights for reporting, machine learning, and AI-driven solutions.

In this role, you will transform data for reporting, ML, and AI-enabled initiatives, ensure data

Qualifications

• Bachelor’s degree in computer science, data engineering, or a related field.
• 3+ years of experience as an Analytics Engineer or similar role.
• Strong communication to translate business needs into data models.

Responsibilities

• Data Modeling: develop the data warehouse model with business stakeholders.
• Data Transformation: clean, transform, and enrich data for analysis and ML.
• Collaboration: work with product, software, data science, and analysts to deliver solutions.
• Data Management: ensure accuracy and reliability across datasets.
• Optimization: optimize data processes for performance and scale.
• Documentation: maintain documentation of transformation logic and lineage.

Skills

Data modeling

Data warehousing

SQL

Python

ETL tools

Airflow

DBT

PostgreSQL

MySQL

MongoDB

Cassandra

Git

Machine learning concepts

AI / LLM basics

Communication

Education

Bachelor's degree in Computer Science / Data Engineering

Tools

Redshift

Snowflake

PostgreSQL

MySQL

MongoDB

Cassandra

Airflow

Luigi

DBT

Git

Job description

Job Description

Verisk is seeking an Analytics Engineer to help build the trusted data foundation that powers smarter decisions across the insurance ecosystem. In this role, you will partner with product, engineering, data science, and business stakeholders to design scalable data models, transform complex data into reliable analytical assets, and enable high-quality insights for reporting, machine learning, and AI-driven solutions. This is an opportunity to work at the intersection of data, technology, and insurance—turning raw information into governed, reusable, business-ready data products that help Verisk deliver speed, precision, and value to customers.

Responsibilities

• Data Modeling: Research and work with business stakeholders to develop our data warehouse model.
• Data Transformation: Clean, transform, and enrich data to create high-quality datasets suitable for analysis and machine learning.
• Collaboration: Work closely with product teams, software developers, data scientists, and analysts to understand data needs and deliver innovative solutions.
• Data Management: Ensure data accuracy, consistency, and reliability across all datasets.
• Optimization: Optimize data processes for performance and scalability.
• Documentation: Maintain comprehensive documentation of transformation logic and lineage.

Qualifications

• Educational Background: Bachelor’s degree in computer science, Data Engineering, or a related field.
• Experience: 3+ years of experience as an Analytics Engineer or in a similar role.
• Strong Communication skills: Ability to work with technical and non-technical audiences to translate business requirements into data models.
• Technical Proficiency:
• Data Warehousing: Knowledge of data warehousing concepts and solutions (e.g., Redshift, Snowflake).
• Data modeling: experience in modern data modeling practices, ideally dimensional modeling.
• Programming Languages: Proficiency in SQL and a familiarity with Python.
• Data Processing: Experience with ETL tools and frameworks (e.g., Apache Airflow, Luigi, DBT).
• Database Management: Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Version Control: Proficient with version control systems (e.g., Git).
• Machine Learning: Understanding of machine learning concepts and experience working with data for ML model training.
• AI: Familiarity and enthusiasm for bleeding‑edge analytical enablement using tools such as Large Language Models and Prompt Engineering.
  

About Us

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.
At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.
For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture.
We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

Verisk Businesses

• Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision
• Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
• Property and Restoration Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient
• Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance
• Catastrophe and Risk Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.
• Marketing Solutions — delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement
• Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
• Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

Verisk Analytics is an equal opportunity employer.

Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

https://www.verisk.com/company/careers/

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