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8 дней назад

Senior Analytics Engineer / BI Analyst (dbt/Looker)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Analytics Engineer / BI Analyst (dbt/Looker): Transforming raw data into trusted, well-modelled datasets and business reporting for an automotive marketplace and media platform with an accent on data modelling, BI development, and metric governance. Focus on building scalable dbt and Looker layers, improving BigQuery performance and data quality, and enabling self-serve analytics across commercial, product, marketing, finance, and operations.

Location: London, United Kingdom; hybrid working. The role also offers the option to work from abroad for one month.

Company

hirify.global is an automotive technology and media company operating a large online car-buying, selling, advertising, and leasing platform alongside automotive content brands.

What you will do

  • Design, build, and maintain scalable data models using dbt on Google Cloud Platform and BigQuery.
  • Create and maintain Looker dashboards and explores to enable self-serve analytics.
  • Translate business requirements into data models, metrics, and visualisations, and define core business metrics with stakeholders.
  • Implement dbt data quality checks, testing, documentation, and reporting standards.
  • Optimise BigQuery query performance and cost efficiency while supporting large-scale datasets.
  • Partner with commercial, product, marketing, finance, and operations teams, and mentor junior analysts.

Requirements

  • Previous experience in analytics engineering, BI, or data analytics roles.
  • Expert-level SQL skills, preferably including performance tuning experience.
  • Experience with modern cloud data platforms and distributed data warehouses such as BigQuery or Snowflake.
  • Proven experience with dbt, including modelling, testing, and documentation.
  • Experience building dashboards in Looker.
  • Solid understanding of data modelling concepts, including star schema and dimensional modelling.
  • Experience working with large-scale datasets.
  • Strong communication skills and the ability to work with non-technical stakeholders.

Nice to have

  • Hands-on experience with Google Cloud Platform, especially BigQuery.
  • Experience with orchestration tools such as Airflow.
  • Knowledge of data governance and data quality frameworks.
  • Exposure to reverse ETL tools such as Hightouch.
  • Familiarity with LookML.
  • Familiarity with AI coding assistants and integrating them into analytics workflows.

Culture & Benefits

  • Hybrid working with the option to work from abroad for one month.
  • Matched pension contributions, share options, Vitality private healthcare, eyecare vouchers, and life assurance.
  • Enhanced holiday package, including 28 days of annual leave, bank holidays, additional anniversary leave, and options to buy extra days.
  • Inclusive parental, partner, shared parental leave, fertility treatment, and pregnancy loss policies, plus Bubble childcare support.
  • MacBook or Surface, home office allowance of up to £500/€550, and a learning and development budget.
  • Monthly mental wellbeing coaching, regular social and learning events, and paid employee referrals.

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