Analytics Engineer

Verisk is a data analytics and technology company serving the insurance industry. The Analytics Engineer will build scalable data models, transform complex data into reliable analytical assets, and enable insights for reporting, machine learning, and AI-driven solutions while collaborating with product, engineering, data science, and business stakeholders.

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

Requirements:

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