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3 дня назад

Analytics Engineer (BI/Data)

50 000 - 70 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Analytics Engineer (BI/Data) (dbt/SQL/AI): Building governed data models, trusted metrics, and self-service analytics for Finance, Product, and other business teams with an accent on dimensional modelling, semantic layers, and AI-native development. Focus on defining SaaS metrics, migrating reporting to governed models, and enabling reliable analytics for business users and AI tools.

Location: London, UK; hybrid working with one day per week from the Hoxton office

Salary: £50,000–£70,000 per year, depending on experience

Company

hirify.global develops AI solutions that automate and strengthen financial controls for Accounts Payable teams at large companies.

What you will do

  • Build clean, joined customer, contract, usage, product outcome, support, revenue, and cost models in dbt.
  • Use AI coding agents to draft models, tests, and documentation while owning definitions, review, and quality.
  • Own the metrics layer, including tested definitions for ARR, customer retention, realised customer value, touchless rate, and cost to serve.
  • Migrate Metabase and customer review reporting to governed models and retire duplicate dashboards with their owners.
  • Enable Finance, RevOps, Commercial, Product, Engineering, and Services teams to self-serve analytics and help select analytics tooling.
  • Agree and document definitions with business owners so people and AI tools interpret them consistently.

Requirements

  • Experience as an analytics engineer or BI developer building dbt models on a cloud data warehouse.
  • Daily experience using AI coding agents for SQL, dbt models, tests, and documentation, with the ability to verify their output and understand semantic layers.
  • Excellent SQL and data-modelling skills, including dimensional models and metrics or semantic layers.
  • Experience with a BI tool such as Metabase, Omni, Looker, or Power BI, including enabling non-technical users.
  • Understanding of SaaS metrics such as ARR, churn, and expansion, with the ability to translate business questions into data.
  • Clear communication and patience when aligning stakeholders on shared definitions.

Culture & Benefits

  • Full-time position with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday.
  • Hybrid work with one weekly office day, a dog-friendly Hoxton office, and an on-site gym.
  • 27 days of annual leave, including three Christmas closure days, with the option to roll over three days.
  • Private medical and dental cover through Vitality and enhanced parental leave pay.
  • £1,000 annual personal learning and development budget, team socials, and an annual team retreat.
  • Carbon-neutral operations with ongoing carbon-reduction goals.

Hiring process

  • Typical stages are an introductory Teams call, a 30–45 minute hiring manager interview, a role-relevant technical task or presentation, and a final on-site interview with senior leadership and co-founders.
  • Responsible AI use is welcome for research and interview preparation, but AI-generated answers must not be used during live interviews.
  • Metaview AI note-taking is used during interviews; candidates may ask for it not to be used.

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