Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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£50к-70к/год
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Чёткая зона ответственности, понятный объём задач и растущая SaaS-компания в сфере AI делают вакансию привлекательной, хотя в быстрорастущем бизнесе ожидания могут быть высокими.
Высокий темп
Актуальный стек
Сфера AI
Чёткая зона ответственности
Бюджет на обучение
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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