Назад
Company hidden
обновлено 1 час назад

Analytics Engineer

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Analytics Engineer (SQL/ClickHouse/dbt): Building and maintaining analytical transformation layers, data marts, metric definitions, and semantic datasets for mobile game analytics with an accent on data quality, self-service analytics, and AI-driven tools. Focus on modeling UA, monetization, retention, and LTV data, reconciling metrics across sources, and designing reliable data access layers for AI agents.

Location: Remote work opportunities

Company

hirify.global is a US mobile game publisher and developer creating global free-to-play mobile games, including Magic Jigsaw Puzzles, Puzzle Villa, Art of Puzzles, and Dominoes.

What you will do

  • Design and maintain modular, incremental, tested, documented, and version-controlled analytical transformation models.
  • Establish standards for analytics engineering, including transformation tooling, testing, code review, and CI.
  • Define and reconcile company-wide metrics such as ROAS, cohort LTV, retention, ARPDAU, and spend across data sources.
  • Build analytical datasets for user acquisition, monetization, creative performance, incrementality, dashboards, and reports.
  • Model and document self-service datasets for product, user acquisition, and monetization teams.
  • Build semantic descriptions, query interfaces, guardrails, and evaluation processes for AI-agent access to trusted data.

Requirements

  • 3–5+ years of experience in analytics engineering, BI development, or data engineering with production ownership of a transformation layer.
  • Strong SQL skills and experience with ClickHouse or willingness to develop deep ClickHouse expertise; experience with Postgres, BigQuery, or Snowflake is also relevant.
  • Production experience with dbt, SQLMesh, Dataform, or an equivalent transformation framework, including modular models, testing, documentation, and CI.
  • Strong analytical data modeling judgment and the ability to turn ambiguous business questions into data models through stakeholder collaboration.
  • Experience with Git and code review, plus sufficient Python knowledge to automate work.

Nice to have

  • Experience with mobile games or apps and metrics such as D7 ROAS, cohort LTV, ARPDAU, and retention curves.
  • Practical experience with AI or LLM tools for data, including text-to-SQL, RAG over structured data, MCP, agent integrations, or model-output evaluation.
  • Experience with Airflow, Dagster, Superset, or comparable orchestration and BI tools.

Culture & Benefits

  • Remote work and a flexible schedule.
  • Participation in the full product development cycle for global free-to-play projects.
  • Career growth within an international company.
  • Bonuses based on KPI achievement and project financial results.
  • Paid conferences, training, language courses, and workshops.
  • Access to psychologist sessions and charity projects.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →