Senior Analytics Engineer

London, England, United Kingdom - Remote

Applications have closed

About Zego

We’re a commercial motor insurer on a mission to save people time and money. From nationwide taxi fleets to self-employed scooter delivery riders, our customers are our driving force. We work hard to make insurance simple, affordable and stress-free for every one of them.

When we started back in 2016, we knew that traditional insurance held businesses back. It was too complicated, too time consuming, and it wasn't priced fairly. So we set out to change that, building insurance products to empower professional drivers throughout the UK, Europe and beyond.

So far, we’ve raised over $200 million in funding, and we’re proud to hold the title of the UK’s first insurtech Unicorn (a private company valued at over $1 billion). We’ve grown from a scrappy start-up into an industry changing organisation. And there’s plenty more to come.

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.

It’s not “hybrid working” as you might know it – we don’t ask you to work from the office on set days. It’s a flexible approach that allows every Zegon to be their best.

Home can still be your primary place of work, with team days and events at our central London office when we need to get together. We cover the costs for all company-wide events (3 per year), and provide a separate hybrid contribution to help pay towards travel costs for our monthly pizza socials and other team get-togethers.

We think it’s a good mix of collaborative face time and flexible home-working, setting us up to achieve that right balance between work and life.

Overview of team

The BI team’s mission is simple: relevant and reliable information, aimed at the right people, and delivered at the right time. We facilitate rapid and effective decision making that is supported by excellent data. We’re a small and dynamic team, responsible for every aspect of data: delivery, integrity, ETL, problem formulation, metric definition, reporting, and analytics.

Purpose of role

We’re seeking a passionate Senior Analytics Engineer with a strong commercial sense and a natural curiosity for data. You don’t just churn out reports - you turn data into actionable information that can be used to support our key strategic initiatives. You have a strong technical background in data modelling and analytics engineering and you’re comfortable working autonomously in an unstructured environment.

What you will be working on

  • Gathering requirements from stakeholders and using them to design data solutions
  • Documenting challenges, choices, and outcomes in a clear and concise way
  • Building and maintaining models and exposures in the data warehouse using dbt, Snowflake, and Looker
  • Wrangling data from multiple third-party sources, e.g. Salesforce, Amplitude, Segment, Google Ads
  • Supporting business users across the company and enabling a culture of self-service through our BI tools
  • Creating secure, efficient data shares for external partners, using S3, SFTP and Snowflake Data Sharing
  • Collaborating with the extended data team to ensure quality, reliability, and stability of our data platform
  • Contributing to the evolution of our data warehouse and tooling

What you will need to be successful

  • At least 3 years’ experience in a similar role
  • Experience in modelling data for warehousing and visualisation tools
  • Experience with modern data platform tools such as Snowflake, dbt, AWS, GCP, Looker, Tableau, Airflow, etc.
  • Experience of source control tools like git
  • Strong problem-solving skills with good attention to detail
  • A data quality and testing mindset
  • Advanced SQL skills are essential, and previous experience in dbt and/or Looker is preferred
  • Experience in Python, especially in a data or analytics engineering context, would be advantageous
  • Experience in the insurance sector would be beneficial

Other key attributes such as; business acumen, ability to translate a business requirement into a data driven solution, adaptability, attention to detail, discipline, efficiency, focus, initiative, open mindedness, optimism, perseverance, pragmatism and self-sufficiency.

What it's like to work @ Zego

Zego has a truly international and inclusive team, unified by great ideas and collaborative thoughtfulness. Our people are the most important part of our story and everyone plays an essential role in our journey. We look for people who have expertise, enthusiasm and who are motivated by change. There’s plenty of room to learn and grow, as part of our ongoing training programmes or directly from other experts. You’ll work alongside a talented group of people who respect each other's differences and seek to understand fresh perspectives.

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. And that’s just for starters.


We are an equal opportunity employer and we 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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow Amplitude AWS Data quality Data warehouse Engineering ETL GCP Git Looker Python Salesforce Snowflake SQL Tableau Testing

Perks/benefits: Career development Competitive pay Equity Flex hours Health care Home office stipend Insurance Startup environment Team events Wellness

Regions: Remote/Anywhere Europe North America
Job stats:  20  4  0

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