Senior Analytics Engineer

About Zego

At Zego, we understand that traditional motor insurance holds good drivers back. It's too complicated, too expensive, and it doesn't reflect how well you actually drive. Since 2016, we have been on a mission to change that by offering the lowest priced insurance for good drivers.

From van drivers and gig workers to everyday car drivers, our customers are the driving force behind everything we do. We've sold tens of millions of policies and raised over $200 million in funding. And we’re only just getting started.

Overview of team

The mission of the BI & Analytics team at Zego is to deliver relevant and reliable information to the right people at the right time, enabling rapid and effective decision-making supported by data.  It is a small and dynamic team, responsible for all the aspects related to data, including making data available, data cleaning, extraction, problem formulation and definition of success metrics, reporting and analytics.

About the Role

We are seeking a passionate Senior Analytics Engineer with a strong commercial sense and a natural curiosity for data. You are as comfortable designing and building robust data models as you are engaging with stakeholders to understand their business needs. You have a solid technical background and are confident working autonomously in a fast-paced, unstructured environment. At Zego, you will help shape and scale our data infrastructure to enable decision-making and support key strategic initiatives.

What you will be doing

Data Modelling & Engineering:

• Gather requirements from stakeholders and design scalable data solutions
• Build and maintain robust data models and exposures in the data warehouse using dbt, Snowflake, and Looker
• Document architectural decisions, modelling challenges, and outcomes in a clear and structured way
• Wrangle and integrate data from multiple third-party sources (e.g., Salesforce, Amplitude, Segment, Google Ads)
  
  

Data Quality & Operations:

• Ensure quality, reliability, and stability across data models and pipelines
• Create secure, efficient data shares for external partners (e.g., S3, SFTP, Snowflake Data Sharing)
• Contribute to the evolution and continuous improvement of our data platform, tooling, and processes
  
  

Stakeholder Enablement:

• Support business users across the company to promote a culture of data-driven decision-making
• Translate complex business questions into well-designed data solutions and metrics
• Enable and maintain self-service capabilities within our BI tools
  

About you

• You will have a minimum 3 years’ experience as an Analytics Engineer or in a similar role
• You will have proven experience in designing and maintaining data models for warehousing and business intelligence
• You will have advanced SQL skills; experience with dbt and/or Looker is strongly preferred
• You will be proficient with modern data platforms (e.g., Snowflake, dbt, AWS, GCP, Looker, Tableau, Airflow)
• You will have experience with version control tools such as Git
• You will have exposure to Python for data or analytics engineering tasks (preferred)
• You will demonstrate excellent problem-solving skills and meticulous attention to detail
• You will have experience in the insurance sector (preferred but not required)
• You will have strong commercial acumen with the ability to translate business requirements into scalable data solutions.
• You will be someone who’s actively curious about how AI can enhance your work - keen to experiment, learn quickly, and apply tools that improve productivity, streamline tasks, or unlock new ways of thinking. Whether you’re already hands-on or fast building confidence, you take ownership of staying ahead and working smarter.

What’s it like to work at Zego?

Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things. 

We’re spread throughout the UK and Europe, and united by our drive to get things done. We’re proud of our company and our culture – a friendly and inclusive space where we can lift each other up and celebrate our wins every day.

Together, we’re setting the bar higher, delivering exceptional work that makes a difference. Our people are the most important part of our story, and everyone here plays a role. There’s loads of room to learn and grow, and you’ll get the freedom to steer your career wherever you want.

You’ll work alongside a talented group who embrace each other's differences and aren’t afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we’re making insurance matter.

How we work

We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. While some of our team choose to come into our central London office once a week, we’re flexible - some people prefer being in once a month or even quarterly. It’s all about finding the right balance between collaborative face time and focused home-working, so we can achieve great results while maintaining a healthy work-life balance

Our approach to AI

We believe in the power of AI to meaningfully improve how we work - helping us move faster, think differently, and focus on what matters most. At Zego, we encourage people to stay curious and intentional about how AI is leveraged in their work and teams to drive practical impact every day. This is your chance to do the most meaningful work of your career - and we’ll provide you with the tools, support, and freedom to do it well.

Benefits

We reward our people well. Join us and you’ll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development. And that’s just for starters!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status.