Analytics Engineer: Scalable Data Foundations for AI

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

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