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- Tasks: Design and build analytical data models using dbt and Snowflake for impactful insights.
- Company: Join Aviva, a leader in insurance, driving innovation through data.
- Benefits: Flexible work environment with 50% remote options and competitive pay.
- Other info: Collaborative team culture with opportunities for professional growth.
- Why this job: Make a real difference by transforming data into actionable insights for key business areas.
- Qualifications: Strong SQL skills and experience with dbt and data modelling techniques.
The predicted salary is between 50000 - 60000 £ per year.
About the Company: Aviva is investing in its strategic data platform to unlock actionable insights across Insurance Claims.
Job Type: Contract - 6 Months
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
Data Modelling (dbt/snowflake) in Nottingham employer: Aviva
Contact Detail:
Aviva Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modelling (dbt/snowflake) in Nottingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and projects using dbt and Snowflake. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling techniques. Be ready to discuss how you've transformed complex datasets into actionable insights, as this is key for roles like the one at Aviva.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Modelling (dbt/snowflake) in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your experience with dbt and Snowflake, and don’t forget to showcase your SQL skills. We want to see how your background aligns with the responsibilities listed in the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data modelling and how your skills can help Aviva unlock actionable insights. Keep it concise but impactful—let us know why you’re the perfect fit!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions, especially when it comes to transforming raw data into business-ready datasets.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Aviva
✨Know Your Tools Inside Out
Make sure you’re well-versed in dbt and Snowflake. Brush up on your SQL skills and be ready to discuss how you've used these tools in past projects. Being able to explain your experience with dimensional modelling and Slowly Changing Dimensions will show that you know your stuff.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about specific situations where you transformed raw data into actionable insights. This will demonstrate your analytical thinking and ability to deliver solutions that meet business needs.
✨Communicate Clearly
Since this role involves collaboration with both technical and business teams, practice explaining complex data concepts in simple terms. You might be asked to describe a project or model, so being able to communicate effectively is key to showing you can bridge the gap between data and business.
✨Understand the Business Context
Familiarise yourself with Aviva’s insurance claims processes and how data plays a role in decision-making. Showing that you understand the business context behind your data models will impress interviewers and highlight your ability to create relevant, impactful solutions.