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16 часов назад

Data Analyst

Формат работы
remote (Global)/hybrid
Тип работы
fulltime
Грейд
middle
Английский
b1
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
Data Analyst (SQL/Metabase/ClickHouse): Owning analytics for business units and developing analytical datasets, dashboards, data marts, and KPI monitoring with an accent on ad-hoc research, anomaly investigation, and large-scale SQL analysis. Focus on optimizing ClickHouse queries, validating data logic, designing metric monitoring, and contributing to AI tooling for analytics.

Location: Hybrid (office/home office) or remote

Company

hirify.global is an international company offering analytical roles across business units and stakeholder-facing teams.

What you will do

  • Own analytics for assigned business units and act as the main point of contact for data-related questions.
  • Conduct ad-hoc research to identify revenue opportunities, evaluate program and publisher performance, build segmentations, and identify inefficient partnerships.
  • Investigate data anomalies and incidents, prepare diagnostic queries, and present conclusions and open questions.
  • Develop and maintain Metabase dashboards, analytical datasets, KPI monitoring, alerts, and period-over-period comparison logic.
  • Contribute to data mart development by defining requirements, refining business logic, and creating mappings.
  • Optimize and review ClickHouse SQL queries, write specifications for DWH and engineering teams, and contribute to analytics AI tooling.

Requirements

  • 2–4 years of experience in product, operational, or data analytics, including independent ownership of an analytics area or business unit.
  • Strong SQL skills, including CTEs, window functions, complex joins, and aggregations on large datasets.
  • Hands-on experience with Metabase or similar BI tools, including dashboard development, auditing, deduplication, and documentation.
  • Understanding of layered DWH architecture from raw data through staging to data marts, with experience working with data marts.
  • Experience with ad-hoc research and anomaly investigations, including hypothesis formation, query-based validation, and evidence-based conclusions.
  • English at B1 level or higher for documentation, written communication, and work with international teams.

Nice to have

  • Python for analysis and automation.
  • Experience with forecasting, before/after analysis, and measuring the impact of tracking or attribution changes.
  • Experience using LLM and AI tools in analytical work with a critical approach to validating outputs.

Culture & Benefits

  • Hybrid office/home office or remote working format.
  • Corporate education through courses and training.
  • Voluntary health insurance after the probation period.
  • Effective onboarding program.
  • Corporate events and team-building activities.

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