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Data Analyst (SQL & dbt)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle
Английский
c1
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 & dbt) (SaaS): Building and maintaining production data models, dashboards, and analyses that support SaaS metrics, leadership decisions, Finance, and acquisition due diligence with an accent on unfamiliar billing data, data quality, and reliable business definitions. Focus on tracing discrepancies through ingestion and transformation, validating results under time pressure, and using AI tools while protecting sensitive data.

Location: Fully remote; work from wherever you like, with availability during Central European hours

Company

hirify.global acquires and develops a portfolio of B2B SaaS companies, supporting 25 brands through a central data and BI function.

What you will do

  • Own data requests end to end, from clarifying business questions and assessing source data to building models, validating results, and explaining limitations.
  • Build and maintain production dbt models for billing, subscriptions, customers, recurring revenue, retention, and other SaaS metrics.
  • Maintain Metabase dashboards, reusable questions, recurring reporting, and ad hoc analyses.
  • Monitor data quality and freshness, reconcile figures, and trace discrepancies through ingestion and transformation to source systems.
  • Maintain Airbyte source integrations, including custom connectors, and onboard data from newly acquired companies.
  • Support acquisition due diligence by processing unfamiliar and incomplete billing, customer, and revenue datasets under time pressure.

Requirements

  • At least 3 years of hands-on experience in data roles where SQL was the primary tool.
  • Production experience building and maintaining code-based data models with dbt or a similar workflow, including version control and code review.
  • Ability to review code, including Python, trace data from source systems through ingestion and transformation, and distinguish business changes from data problems.
  • Strong analytical judgment, independent ownership, and clear communication with technical and non-technical stakeholders.
  • Daily practical use of AI tools such as Claude Code, Codex, Cursor, or similar, with independent validation of generated output.
  • Fluent written and spoken English and availability during Central European hours are required.

Nice to have

  • Experience with SaaS subscription metrics such as MRR, ARR, churn, expansion, NDR, GDR, cohorts, and customer lifetime value.
  • Experience with Stripe, Chargebee, Recurly, Paddle, PostgreSQL, or Airbyte.
  • Understanding of APIs and data connectors, including authentication, pagination, rate limits, and incremental synchronization.
  • Experience supporting multiple products or business units, or performing acquisition due diligence with unfamiliar datasets.

Culture & Benefits

  • 100% remote work with flexibility to work from any location and at flexible times.
  • High-trust environment with autonomy and support when needed.
  • Low-bureaucracy culture focused on efficient, sustainable execution.
  • Small, collaborative team and an internal network for exchanging SaaS expertise and learning.
  • Flexible time off.

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