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For Companies At a Glance
- Tasks: Design and build data models while collaborating with stakeholders to meet their business needs.
- Company: Zego is transforming motor insurance with affordable, transparent coverage for good drivers since 2016.
- Benefits: Enjoy a supportive work culture, opportunities for growth, and the chance to make a real impact.
- Why this job: Join a diverse team and leverage your skills in a fast-paced environment focused on innovation.
- Qualifications: 3+ years as an Analytics Engineer, advanced SQL skills, and experience with modern data platforms required.
- Other info: Experience in the insurance sector is a plus, but not mandatory.
The predicted salary is between 43200 - 72000 £ per year.
Senior Analytics Engineer
We are seeking a passionate Senior Analytics Engineer with a strong commercial sense and a natural curiosity for data. You will be comfortable designing and building robust data models and engaging with stakeholders to understand their business needs. The role requires a solid technical background and the ability to work autonomously in a fast-paced, unstructured environment.
Responsibilities
- Data Modelling & Engineering:
- Gather requirements from stakeholders and design scalable data solutions.
- Build and maintain data models and exposures in the data warehouse using dbt, Snowflake, and Looker.
- Document architectural decisions, modelling challenges, and outcomes clearly.
- Integrate data from multiple third-party sources (e.g., Salesforce, Amplitude, Segment, Google Ads).
- Ensure quality, reliability, and stability of data models and pipelines.
- Create secure data shares for external partners (e.g., S3, SFTP, Snowflake Data Sharing).
- Contribute to the continuous improvement of our data platform, tooling, and processes.
- Support business users and promote data-driven decision-making.
- Translate complex business questions into data solutions and metrics.
- Enable and maintain self-service capabilities within BI tools.
Qualifications
- Minimum 3 years\’ experience as an Analytics Engineer or similar role.
- Proven experience in designing and maintaining data models for warehousing and BI.
- Advanced SQL skills; experience with dbt and Looker preferred.
- Proficiency with modern data platforms (e.g., Snowflake, dbt, AWS, GCP, Looker, Tableau, Airflow).
- Experience with version control tools such as Git.
- Exposure to Python for data or analytics engineering tasks (preferred).
- Excellent problem-solving skills and attention to detail.
- Experience in the insurance sector (preferred but not required).
- Strong commercial acumen and curiosity about AI to enhance work processes.
At Zego, we aim to revolutionize motor insurance by offering affordable, transparent coverage for good drivers. Since 2016, we\’ve sold millions of policies, raised significant funding, and are committed to fostering a diverse, inclusive, and innovative culture. Join us to make a meaningful impact and grow your career in a supportive environment.
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Senior Analytics Engineer employer: Zego
Contact Detail:
Zego Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as dbt, Snowflake, and Looker. Having hands-on experience or projects showcasing your skills with these platforms can set you apart from other candidates.
✨Tip Number 2
Engage with the analytics community online, particularly on platforms like LinkedIn or relevant forums. Sharing insights or asking questions about data modelling and engineering can help you build connections that might lead to referrals or insider information about the role.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've successfully gathered requirements from stakeholders and translated them into data solutions. Being able to articulate your thought process and problem-solving skills will demonstrate your fit for the role.
✨Tip Number 4
Showcase your commercial acumen by staying updated on trends in the insurance sector and how data analytics is shaping the industry. This knowledge can help you connect your technical skills to the business needs of Zego during interviews.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as an Analytics Engineer. Focus on your skills in data modelling, SQL, and any specific tools mentioned in the job description, such as dbt and Looker.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and your understanding of the role. Mention specific projects where you've designed data solutions or improved data quality, and how these experiences align with the company's goals.
Showcase Technical Skills: In your application, emphasise your technical expertise, particularly in SQL and modern data platforms like Snowflake. If you have experience with Python or version control tools like Git, be sure to include that as well.
Demonstrate Stakeholder Engagement: Provide examples of how you've engaged with stakeholders in previous roles. Highlight your ability to translate complex business needs into actionable data solutions, which is crucial for this position.
How to prepare for a job interview at Zego
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, dbt, and Looker in detail. Bring examples of data models you've designed and explain the thought process behind them. This will demonstrate your technical expertise and problem-solving abilities.
✨Understand the Business Context
Research Zego and its mission to revolutionise motor insurance. Be ready to discuss how your analytics work can support their goals. Showing that you understand the business needs will set you apart from other candidates.
✨Prepare for Stakeholder Engagement
Think about how you would gather requirements from stakeholders and translate complex questions into actionable data solutions. Prepare examples of past experiences where you successfully engaged with stakeholders to meet their needs.
✨Demonstrate Curiosity and Continuous Improvement
Express your passion for data and your desire to continuously improve processes. Share any experiences where you contributed to enhancing data platforms or tools, as this aligns with the role's responsibilities.
