Data Analytics Engineer

Specialization
Property Casualty

Date Posted
Posted 4 Weeks ago

Location
REMOTE

Data Analytics Engineer

Our client is a well-established P&C insurer seeking a Data Analytics Engineer to bridge the gap between complex insurance data and actionable business insights.

You'll design and build analytics-ready data assets across Underwriting, Actuarial, Claims, Product, Distribution, and Finance , supporting Personal, Commercial, and Farm lines of business. This is a hands-on opportunity to work with modern data architecture, build trusted reporting solutions, and help advance a Snowflake-based data environment .

Location: Remote

What will you be doing?

• Partner with Product, Actuarial, Underwriting, Claims, Finance, and Distribution teams to define KPIs, reporting requirements, and data specifications
• Build and maintain dashboards, reports, and visualizations using Sigma, Power BI, or similar BI platforms
• Design and maintain data models, transformations, semantic layers, and pipelines within a Snowflake-based medallion architecture
• Develop scalable and testable data pipelines using SQL and dbt
• Integrate data from internal and external sources, including policy systems and CRM platforms
• Build certified data products and semantic layers that enable business teams to perform self-service analytics
• Establish data governance standards around definitions, access, metadata, and quality
• Validate data outputs and troubleshoot reporting or production issues
• Support recurring, ad hoc, financial, operational, and executive reporting
• Collaborate within an Agile environment and participate in planning, refinement, and sprint reviews
• Continuously improve data products based on stakeholder feedback

What do you need to succeed?

• Bachelor's degree in Data Science, Computer Science, Statistics, or a related field, or equivalent experience
• 5+ years of experience in data analytics, data engineering, or a related field
• P&C insurance experience required , with a strong understanding of the insurance value chain and core metrics such as premium, loss, and reserving
• Strong experience building dashboards and reports in Sigma, Power BI, or equivalent BI platforms
• Strong experience with Snowflake and transformation tools such as dbt
• Strong SQL skills; Python or similar scripting experience preferred
• Understanding of dimensional modeling, ELT processes, and modern data architectures
• Experience with data integration methods including APIs, flat files, and semi-structured data
• Experience working in Agile environments
• Strong communication skills and the ability to translate technical concepts for business stakeholders
• Familiarity with insurance systems such as Guidewire, POINT, Duck Creek , or similar platforms preferred
• Experience migrating from legacy data warehouses to modern platforms such as Snowflake preferred

Why Apply?

• Remote opportunity!
• $140K+ hiring range , with salary potential up to $171K
• Work across the full P&C insurance value chain
• Hands-on exposure to Snowflake, dbt, modern data architecture, and BI
• Opportunity to help shape and improve a modern data environment
• Partner directly with actuarial, underwriting, claims, product, finance, and distribution teams
• Build data products that directly support business and strategic decision-making

Apply now!