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4 дня назад

Senior Data Analyst (Product Analyst)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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 Data Analyst (Product Analyst) (Product Analytics/SQL/Python): Turning product and business data into actionable insights for product strategy, growth, experimentation, and customer experience with an accent on funnel analysis, retention, event tracking, and unified analytics. Focus on defining success metrics, improving data reliability, building self-service dashboards, and solving complex measurement challenges across product and marketing data.

Location: Remote, associated with San Francisco, CA

Company

hirify.global is a no-code and AI platform for designing, developing, and deploying native mobile applications without writing code.

What you will do

  • Partner with Product, Marketing, Engineering, Design, and Leadership to identify opportunities and guide product and business decisions through data.
  • Lead product and growth analyses, including funnel, cohort, retention, segmentation, monetization, and experimentation analysis.
  • Define success metrics and evaluate the impact of features, experiments, and product initiatives.
  • Build dashboards, recurring reports, and self-service analytics for data-informed decision-making.
  • Collaborate with engineers to implement, validate, and maintain event tracking in React-based interfaces.
  • Integrate data from product, advertising, payment, and CRM systems while improving data reliability and documenting metrics and tracking plans.

Requirements

  • Bachelor’s degree or equivalent experience in a related field.
  • 3+ years of experience in data science, data analytics, or another quantitative role.
  • Experience with product analytics, experimentation, funnel analysis, retention, and user behavior analysis.
  • Experience with event-tracking instrumentation and collaboration with engineering teams.
  • Experience working with real-time and historical data, including cleaning, processing, analysis, modeling, and insight delivery.
  • Strong SQL, R, or Python skills, analytical problem-solving ability, communication skills, and attention to detail.

Nice to have

  • Experience improving data pipelines, data storage, and analytical frameworks.
  • Experience with JavaScript-based event tracking or Google Tag Manager.

Culture & Benefits

  • Remote work with global remote flexibility.
  • Competitive compensation and equity.
  • Unlimited paid time off.
  • Health, wellness, and training budget.
  • Supportive, entrepreneurial environment centered on creativity, openness, transparency, persistence, and entrepreneurialism.

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