Summary: Aviva is seeking an experienced Analytics Engineer to enhance its strategic data platform for Insurance Claims. The role involves designing, building, and maintaining analytical data models using dbt and Snowflake, focusing on transforming operational data into actionable insights. The position requires collaboration with both business and technical teams to deliver reliable data solutions. The ideal candidate will possess strong SQL skills, hands-on experience with dbt, and a solid understanding of data modeling techniques. Responsibilities include maintaining documentation and quality standards to ensure data reliability and consistency while supporting various Claims use cases across different Lines of Business.
About the Company :
Aviva is investing in its strategic data platform to unlock actionable insights across Insurance Claims.
Location:
NR1 3NG (50% office based 50% from home)
About the Role
Randstad Sourceright is recruiting on behalf of Aviva. We are seeking an experienced Analytics Engineer to design, build, and maintain high-quality analytical data models using dbt and Snowflake, supporting key Claims use cases across Motor, Property, and other Lines of Business. This role sits at the intersection of data engineering, BI, and business understanding—transforming raw operational data into trusted, governed datasets that enable reporting, self-service analytics, and advanced insight generation.
Responsibilities :
- Design and implement scalable analytical data models in Snowflake using dbt, following best practices including dimensional modelling, Slowly Changing Dimensions (SCDs), and incremental processing.
- Transform complex Claims source data into business-ready datasets aligned with agreed metrics and definitions.
- Own and evolve models that underpin dashboards, management information (MI), regulatory reporting, and ad-hoc analysis.
- Collaborate with business and technical teams to understand requirements and deliver actionable data solutions.
- Maintain documentation, testing, and quality standards to ensure data reliability and consistency.
Qualifications :
- Strong SQL skills and experience building analytical models in Snowflake.
- Hands-on experience with dbt, including models, tests, documentation, and incremental strategies.
- Solid understanding of data modelling techniques, such as Kimball-style dimensions, facts, and Slowly Changing Dimensions.
- Experience handling large, complex datasets in an enterprise environment.
- Excellent problem-solving, collaboration, and communication skills, with the ability to explain complex data concepts to business stakeholders.
Required Skills :
- Strong SQL skills
- Experience with dbt
- Data modelling techniques
- Handling large datasets
- Problem-solving and communication skills
Preferred Skills :
- Experience in an enterprise environment
