Level

Carwow

Senior BI Analytics Engineer

Carwow is hiring a Senior BI Analytics Engineer in London, United Kingdom. Level rates it ; you can apply on Carwow.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions dbt, Google Cloud Platform and BigQuery among its tools and skills.
  • Carwow has 34 other open roles on Level.
  • Posted within the past week.

AI in this role

Senior BI analytics engineer to build data models, maintain dashboards, and bridge data engineering with business insights.

dbtgoogle-cloud-platformbigquerylooker
sqldata-modellingbusiness-intelligencedata-analyticslookml

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!

  • Vitality 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.

How we rate this

Senior BI Analytics Engineer at Carwow rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

SQLData ModellingBusiness IntelligenceData AnalyticsLookmldbtGoogle Cloud PlatformBigQuery

Questions you could be asked

  1. Tell me about a project where sql was part of your work. What did you do?
  2. Tell me about a project where data modelling was part of your work. What did you do?
  3. Tell me about a project where business intelligence was part of your work. What did you do?
  4. Tell me about a project where data analytics was part of your work. What did you do?
  5. Tell me about a project where lookml was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: SQL, Data Modelling, Business Intelligence, Data Analytics, and Lookml. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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