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From 1,409 similar postings that came down. Coming down is not always a hire.
London · London, United Kingdom
Actively hiring, first seen by us 5 days agoLocation type: HybridFrom the employer’s posting
Employment type: Full-timeFrom the employer’s posting
Department: Technology › Data Platform, Analytics & ScienceFrom the employer’s posting
Do you have the right to work in this job location without sponsorship?From the employer’s application form
Design, build and maintain scalable data models in dbt on BigQuery
Translate business requirements into data models, metrics and visualisations
Implement data quality checks, testing and documentation within dbt
Optimise BigQuery query performance and cost
Design, build, and maintain scalable data models using dbt on Google Cloud Platform (BigQuery)
Translate business requirements into clear data models, metrics, and visualisations
Implement data quality checks, testing, and documentation within dbt
Optimise query performance and manage cost efficiency in BigQuery
Experience working with modern cloud data platforms and distributed data warehouses (e.g. BigQuery, Snowflake)
Hands-on experience with Google Cloud Platform, especially BigQuery
1 day off when you move house - because moving is hard enough without work!
Proven experience with dbt (modelling, testing, documentation)
Experience with orchestration tools (e.g. Airflow)
Experience building dashboards in Looker (LookML is a strong plus)
Strong SQL skills (expert level, performance tuning experience preferred)
To become the car-changing destination of choice.
In the employer’s words · Read in context · Company website ↗
Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 5
Early. Similar jobs usually come down between day 6 and day 47.
From 1,409 similar postings that came down. Coming down is not always a hire.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Previous experience in analytics engineering, BI or data analytics roles - Strong SQL skills (expert level, performance tuning experience preferred) - Experience working with modern cloud data platforms and distributed data warehouses (e.g. BigQuery, Snowflake)
WHAT YOU'LL BE DOING - Design, build, and maintain scalable data models using dbt on Google Cloud Platform (BigQuery) - Create and maintain dashboards and explores in Looker, enabling self-serve analytics
- Partner with stakeholders across all parts of the business including commercial, product, marketing, finance, and operations - Optimise query performance and manage cost efficiency in BigQuery - Mentor junior analysts and promote best practices in analytics engineering across the wider analytics team
- Strong SQL skills (expert level, performance tuning experience preferred) - Experience working with modern cloud data platforms and distributed data warehouses (e.g. BigQuery, Snowflake) - Proven experience with dbt (modelling, testing, documentation)
NICE TO HAVE - Hands-on experience with Google Cloud Platform, especially BigQuery - Experience with orchestration tools (e.g. Airflow)
- Define and maintain core business metrics and data definitions in partnership with stakeholders and the wider analytics team - Implement data quality checks, testing, and documentation within dbt - Partner with stakeholders across all parts of the business including commercial, product, marketing, finance, and operations
- Experience working with modern cloud data platforms and distributed data warehouses (e.g. BigQuery, Snowflake) - Proven experience with dbt (modelling, testing, documentation) - Experience building dashboards in Looker (LookML is a strong plus)
WHAT YOU'LL OWN - The transformation layer (dbt) and semantic layer (Looker) - Core business metrics and reporting definitions
- Knowledge of data governance and data quality frameworks - Exposure to reverse ETL tools (e.g. Hightouch) - Familiarity with AI coding assistants and a habit of integrating them into day-to-day analytics workflows
- Design, build, and maintain scalable data models using dbt on Google Cloud Platform (BigQuery) - Create and maintain dashboards and explores in Looker, enabling self-serve analytics - Translate business requirements into clear data models, metrics, and visualisations
- Proven experience with dbt (modelling, testing, documentation) - Experience building dashboards in Looker (LookML is a strong plus) - Solid understanding of data modelling concepts (star schema, dimensional modelling)
- Clean, well-documented, and trusted data models used across the company - High adoption of Looker dashboards and self-serve analytics - Reduced time-to-insight for stakeholders with the use of AI tooling to accelerate delivery
- Hands-on experience with Google Cloud Platform, especially BigQuery - Experience with orchestration tools (e.g. Airflow) - Knowledge of data governance and data quality frameworks
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
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Yes. We’ve followed 2 other Senior BI Analytics Engineer jobs there since June 2026. 2 came down, usually after about 31 days.
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
OUR MISSION
To become the car-changing destination of choice. By combining technology, media and deep automotive expertise, we've turned how people buy, sell, advertise and lease cars on its head.
What started as a simple reviews site is now one of the largest online car-changing destinations in Europe. Last year alone we grew over 50% with nearly £3bn worth of cars bought on site, while £1.8bn of cars were listed for sale through our Sell My Car service.
In 2024 we went big and acquired Autovia - creators of AutoExpress and Evo magazines - doubling our audience overnight. Together we now have one of the biggest YouTube channels in the world with almost 10m subscribers and over 1.1 billion annual views, while we sell 1.2 million print copies of our magazines and have an annual web content reach over 350million.
And we’re a long way from done!
THE ROLE
We’re looking for a Senior Analytics Engineer / BI Analyst to bridge the gap between data engineering and business insight. You’ll take ownership of transforming raw data into trusted, well modelled datasets and deliver impactful reporting that drives decision making across the business. This role combines strong technical data modelling skills with stakeholder-facing analytics and BI development.
WHAT YOU'LL BE DOING
Design, build, and maintain scalable data models using dbt on Google Cloud Platform (BigQuery)
Create and maintain dashboards and explores in Looker, enabling self-serve analytics
Translate business requirements into clear data models, metrics, and visualisations
Define and maintain core business metrics and data definitions in partnership with stakeholders and the wider analytics team
Implement data quality checks, testing, and documentation within dbt
Partner with stakeholders across all parts of the business including commercial, product, marketing, finance, and operations
Optimise query performance and manage cost efficiency in BigQuery
Mentor junior analysts and promote best practices in analytics engineering across the wider analytics team
WHAT YOU'LL NEED
Previous experience in analytics engineering, BI or data analytics roles
Strong SQL skills (expert level, performance tuning experience preferred)
Experience working with modern cloud data platforms and distributed data warehouses (e.g. BigQuery, Snowflake)
Proven experience with dbt (modelling, testing, documentation)
Experience building dashboards in Looker (LookML is a strong plus)
Solid understanding of data modelling concepts (star schema, dimensional modelling)
Experience working with large-scale datasets
Strong communication skills with the ability to work with non-technical stakeholders
NICE TO HAVE
Hands-on experience with Google Cloud Platform, especially BigQuery
Experience with orchestration tools (e.g. Airflow)
Knowledge of data governance and data quality frameworks
Exposure to reverse ETL tools (e.g. Hightouch)
Familiarity with AI coding assistants and a habit of integrating them into day-to-day analytics workflows
SUCCESS IN THIS ROLE LOOKS LIKE
Clean, well-documented, and trusted data models used across the company
High adoption of Looker dashboards and self-serve analytics
Reduced time-to-insight for stakeholders with the use of AI tooling to accelerate delivery
Clear, consistent definitions of key business metrics
Improved data reliability and fewer reporting discrepancies
WHAT YOU'LL OWN
The transformation layer (dbt) and semantic layer (Looker)
Core business metrics and reporting definitions
Data quality and testing frameworks
BI best practices and documentation standards
WHAT’S IN IT FOR YOU
Hybrid working
Competitive salary to fund that dream holiday to Bali
Matched pension contributions for a peaceful retirement
Share options - when we thrive, so do you!
Bupa Private Healthcare, for peace of mind, plus eyecare vouchers
Life Assurance for (even more) peace of mind
Monthly coaching sessions with Spill - our mental wellbeing partner
Enhanced holiday package, plus Bank Holidays
28 days annual leave
1 day for your wedding
1 day off when you move house - because moving is hard enough without work!
For your third year anniversary, get 30 days of annual leave per year
For your tenth year anniversary, get 35 days of annual leave per year
Option to buy 3 extra days of holiday per year
Work from abroad for a month
Inclusive parental, partner and shared parental leave, fertility treatment and pregnancy loss policies
Bubble childcare support and discounted nanny fees for little ones
The latest tech (Macbook or Surface) to power your gif-sending talents
Up to £500/€550 home office allowance for that massage chair you’ve been talking about
Generous learning and development budget to help you master your craft
Regular social events: tech lunches, coffee with the exec sessions, lunch 8 learns, book clubs, social events/anything else you pester us for
Refer a friend, get paid. Repeat for infinite money
Diversity and inclusion is an integral part of our culture. We know that diverse teams are strong teams, so we welcome those with alternative identities, backgrounds, and experiences to apply for this position. We make recruiting decisions based on experience, skills and potential, so all our applicants are treated fairly and equally.
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London, United Kingdom
To become the car-changing destination of choice. By combining technology, media and deep automotive expertise, we've turned how people buy, sell, advertise and lease cars on its head. What started as a simple reviews site is now one of the largest online car-changing destinations in Europe. Last year alone we grew over 50% with nearly £3bn worth of cars bought on site, while £1.8bn of cars were listed for sale through our Sell My Car service. In 2024 we went big and acquired Autovia - creators of AutoExpress and Evo magazines - doubling our audience overnight. Together we now have one of the biggest YouTube channels in the world with almost 10m subscribers and over 1.1 billion annual views, while we sell 1.2 million print copies of our magazines and have an annual web content reach over 350million.
WHAT’S IN IT FOR YOU - Hybrid working - Competitive salary to fund that dream holiday to Bali
No clear work-authorization passage found. Eligibility is unconfirmed.