Remote Analytics Engineer: Data Modeling & AI Enablement

Verisk Careers | Verisk; Lehi (UT); Remote; USD 100,000 - 140,000; Full time

Benefits offered by this job

Short-term incentive

Remote work arrangement

Job summary

Verisk is seeking an Analytics Engineer to build a trusted data foundation and scalable data models for reporting, ML, and AI-driven insights. You will partner with product, engineering, data science, and business stakeholders to transform complex data into reliable analytical assets.

This role focuses on designing governed data products, maintaining data quality, and enabling analytics across the insurance ecosystem with modern data warehousing and processing pipelines.

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 skills for translating business requirements into data models.
• Knowledge of data warehousing concepts and solutions (e.g., Redshift, Snowflake).
• Experience with modern data modeling practices, ideally dimensional modeling.
• Proficiency in SQL and familiarity with Python.
• Experience with ETL tools and frameworks (e.g., Apache Airflow, Luigi, DBT).
• Knowledge of relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra).
• Proficiency with version control (Git).
• Understanding of machine learning concepts and data usage for ML model training.
• Familiarity with AI enablement and Large Language Models.

Responsibilities

• Data Modeling: Research and develop the data warehouse model with stakeholders.
• Data Transformation: Clean, transform, and enrich data for analytics and ML.
• Collaboration: Work with product, software, data science, and analysts to meet data needs.
• Data Management: Ensure data accuracy, consistency, and reliability across datasets.
• Optimization: Improve data processes for performance and scalability.
• Documentation: Maintain documentation of transformation logic and lineage.

Skills

Data modeling

Data transformation

Collaboration

Data management

Optimization

Documentation

Education

Bachelor’s degree in computer science, data engineering, or related field

Tools

Redshift

Snowflake

SQL

Python

Airflow

Luigi

DBT

PostgreSQL

MySQL

MongoDB

Cassandra

Git

Job description

Verisk is seeking an Analytics Engineer to build a trusted data foundation and scalable data models for reporting, ML, and AI-driven insights. You will partner with product, engineering, data science, and business stakeholders to transform complex data into reliable analytical assets.

This role focuses on designing governed data products, maintaining data quality, and enabling analytics across the insurance ecosystem with modern data warehousing and processing pipelines.