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Senior Product Analyst (AI)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
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
Senior Product Analyst (AI): Building product analytics, BI reporting, and LLM-powered analytical tools for a digital fragrance subscription service with an accent on experimentation, causal inference, and machine learning. Focus on measuring feature and growth experiment impact, investigating user behavior and churn, and turning complex data into actionable product decisions.

Location: Remote, outside the United States; applications from the US are not considered.

Company

hirify.global operates a digital fragrance subscription service and develops fragrance brands that let members discover, sample, and purchase scented products.

What you will do

  • Roll out a data-as-a-service approach that makes product data accessible and actionable.
  • Define product metrics, design report structures, create clear visual reports, and automate reporting in Looker.
  • Measure the impact of product features and growth experiments on conversion rate, active subscriptions, customer lifetime value, and other key metrics.
  • Investigate unexpected changes in usage and conversion data and translate findings into action items.
  • Build and maintain analytical tools and services, including LLM-powered automation, so product teams can answer questions independently.
  • Communicate analytical findings and recommendations with product and cross-functional teams.

Requirements

  • 3+ years of experience in data analytics.
  • Experience delivering analytical solutions for complex product tasks, including user pattern research, experiment support, feature analysis, and use-case analysis.
  • Understanding of business value beyond numbers and charts.
  • Strong knowledge of statistical methods and quantitative analysis for business decisions.
  • Advanced A/B testing experience, including designing, running, and analyzing complex experiments with variance reduction, sequential testing, multiple comparisons, sample ratio mismatch checks, and heterogeneous treatment effects.
  • Strong command of causal inference methods beyond A/B testing and understanding of when their assumptions hold.
  • Hands-on machine learning experience applied to product problems, including churn or propensity models, uplift modeling, segmentation, or recommendations, taking models from analysis into a working product or decision process.
  • Experience writing SQL queries and working with large datasets.
  • Experience with product analytics and BI tools such as GA, Mixpanel, Amplitude, Looker, Tableau, or similar.
  • Strong Python engineering practices, including maintainable packaged code, version control, tests, APIs, scheduled pipelines, and LLM use for coding and analytical workflow automation.
  • High-level written and verbal communication skills.
  • English at upper-intermediate level or higher.

Culture and Benefits

  • Remote-first work environment for overseas applicants.
  • Competitive base compensation and a bonus program.
  • Paid time off.
  • Fun, creative, and energetic work environment.
  • Inclusive environment welcoming people from diverse backgrounds and perspectives.

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