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.
Our Client
Regarded as a people-first insurer company with a strong community focus and a track record of being recognized as one of the Best Companies to Work for 10+ years. Their people-first philosophy fosters an environment where your work directly shapes the future of the company while supporting your professional growth and work-life balance.
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!
Data Analytics Engineer in United States at Actus Actuarial Search
This position is listed as full time and able to be worked remotely. It was posted 6 days ago.