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- Tasks: As a Senior Analytics Engineer, you'll analyse data to drive insights and support decision-making.
- Company: Join a fast-growing Insurtech unicorn that's revolutionising the insurance industry with innovative technology.
- Benefits: Enjoy a hybrid work model, competitive salary, bonuses, and share options.
- Why this job: Be part of a dynamic team shaping the future of insurance with a data-driven approach.
- Qualifications: Experience in analytics engineering and a strong understanding of data tools are essential.
- Other info: This role offers a unique opportunity to influence a rapidly evolving sector.
The predicted salary is between 42000 - 84000 £ per year.
This range is provided by Fruition Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Fruition Group
Salary: £70k + bonus + share options
Are you interested in joining an Insurtech Unicorn Shaping the Future of Insurance?
Our client is a fast growing Insurtech scale up that\’s reshaping the insurance space with smart technology and a data first mindset. With strong commercial backing and ambitious growth plans, this is a prime opportunity for an experienced Analytics Engineer to take ownership of scalable data models that power high impact decision making across the business.
You\’ll join a small but high performing Analytics team responsible for everything from data modelling and transformation to stakeholder enablement. It\’s a hands on, commercially focused role where you\’ll work directly with product, marketing, and operations to define metrics, clean data, and build the foundations for a truly data driven culture.
Why Apply?
- Build models that directly influence business strategy, growth, and efficiency
- Work in a high growth environment with the autonomy to shape tools, processes, and outcomes
- Join a values led team that champions innovation, collaboration, and curiosity
Responsibilities:
- Design, build and maintain robust data models and transformations using dbt, Snowflake, and Looker
- Own integrations from multiple third party sources (Salesforce, Segment, Amplitude, Google Ads)
- Translate business requirements into well structured metrics and scalable data solutions
- Enable self serve analytics and empower stakeholders to make smarter decisions
- Maintain documentation of key modelling decisions and architectural frameworks
- Contribute to the improvement of the wider data platform, operations, and governance
- Ensure data quality, security, and reliability across models, pipelines, and data shares
Requirements:
- Solid experience in an Analytics Engineer or similar role within BI or Data
- Advanced SQL skills and experience working with modern data stacks (Snowflake, dbt)
- Hands on experience with Looker or similar BI tools (Tableau, Power BI)
- Strong commercial acumen – you understand both data and the business problems it\’s solving
- Familiarity with version control (Git); Python skills are a bonus
- Comfortable working autonomously in fast paced, unstructured environments
- Interest in how AI can enhance productivity and streamline data work
We\’re proud to be an equal opportunities employer and welcome applicants from all backgrounds.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Information Technology
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Industries
Technology, Information and Internet
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Senior Analytics Engineer employer: Fruition Group
Contact Detail:
Fruition Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in Insurtech and analytics. Understanding how data is transforming the insurance industry will not only help you in interviews but also show your genuine interest in the field.
✨Tip Number 2
Network with professionals in the Insurtech space. Attend relevant meetups or webinars to connect with industry insiders, which can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Brush up on your technical skills, particularly in analytics tools and programming languages relevant to the role. Being able to demonstrate your proficiency during discussions can set you apart from other candidates.
✨Tip Number 4
Prepare thoughtful questions about the company's growth plans and how analytics plays a role in their strategy. This shows that you're not just interested in the job, but also in contributing to the company's success.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and required skills for the Senior Analytics Engineer position. Tailor your application to highlight how your experience aligns with these requirements.
Highlight Relevant Experience: In your CV and cover letter, focus on your previous roles that involved analytics, data management, or engineering. Use specific examples to demonstrate your expertise in these areas, especially in a fast-paced environment like Insurtech.
Showcase Technical Skills: Make sure to list any relevant technical skills, such as proficiency in SQL, Python, or data visualisation tools. Mention any experience with cloud platforms or big data technologies, as these are often crucial for analytics roles.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the company and its mission. Explain why you want to work in the Insurtech sector and how you can contribute to their growth.
How to prepare for a job interview at Fruition Group
✨Understand the Insurtech Landscape
Familiarise yourself with the current trends and challenges in the Insurtech industry. Being able to discuss how data analytics can address these challenges will show your genuine interest and expertise.
✨Showcase Your Technical Skills
Prepare to discuss specific tools and technologies you’ve used in previous roles. Highlight your experience with data modelling, ETL processes, and any relevant programming languages that align with the job requirements.
✨Demonstrate Problem-Solving Abilities
Be ready to tackle hypothetical scenarios or case studies during the interview. This will allow you to showcase your analytical thinking and how you approach complex problems in a structured manner.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future projects. This not only shows your enthusiasm for the role but also helps you gauge if the company aligns with your career goals.
