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7 дней назад

Senior Product Data Analyst (SaaS)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
France/UK/Serbia +29 еще
Релокация
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Senior Product Data Analyst (SaaS): Partnering with technical product teams to drive activation and adoption of the hirify.global platform with an accent on behavioral segmentation, retention drivers, and feature impact analysis. Focus on designing trustworthy experiments, defining event instrumentation, and translating complex statistical insights into actionable product recommendations.

Location: Remote within Europe. The company can sponsor visas to Germany; for any other country, you must have an existing right to work.

Company

hirify.global is a fast-growing, open-source workflow orchestration platform that empowers technical teams to automate systems with the speed of no-code and the flexibility of code.

What you will do

  • Act as a dedicated data partner to product squads, conducting deep-dive analyses on activation, adoption, and retention.
  • Co-create and test hypotheses with PMs to improve user journeys and time-to-value.
  • Design and read A/B tests while ensuring statistical rigor and trustworthiness.
  • Define event taxonomies and partner with engineering to ensure solid data instrumentation.
  • Surface cross-product insights and challenge assumptions to shape the product roadmap.
  • Translate complex data findings into clear, impactful recommendations for non-technical stakeholders.

Requirements

  • 5+ years of experience analyzing product usage in B2B SaaS, ideally in a PLG environment.
  • Expert proficiency in SQL and comfort with modern stacks like BigQuery, dbt, and Metabase.
  • Strong applied statistics skills with the ability to identify biases, confounders, and underpowered tests.
  • Proven experience in owning analysis for onboarding funnels, feature adoption, and retention drivers.
  • High-agency mindset with the ability to proactively identify and solve data problems.
  • English proficiency required (company language).

Nice to have

  • Experience with Python for analysis (pandas, statsmodels, scipy).
  • Knowledge of causal inference methods.
  • Familiarity with experimentation platforms like GrowthBook, Statsig, or Eppo.
  • Background in devtool, open-source, or technical product environments.

Culture & Benefits

  • Competitive compensation with equity ownership.
  • Remote-first culture with regular team off-sites.
  • 30 days of vacation plus public holidays for European employees.
  • Annual €1K budget for professional development (courses, books, coaching).
  • Unlimited AI budget to explore productivity tools.
  • $100 monthly stipend to support open-source projects.

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