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4 дня назад

Principal Data Analyst (Product Analytics)

Формат работы
hybrid
Тип работы
fulltime
Грейд
principal
Английский
b2
Страна
UK/India
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

Principal Data Analyst (Product Analytics): Lead product analytics efforts by managing and evolving data practices, focusing on customer usage data analysis to support product development and commercial decisions. With an accent on data architecture, analytics application optimization, and team leadership. Focus on designing reliable data processes, maximizing commercial benefit from analytics tools, and delivering actionable insights to stakeholders.

Location: Hybrid in Gurugram, India and Edinburgh, United Kingdom

Company

hirify.global is a global leader in analytics, insights, and proprietary data across the energy and natural resources sectors, with 2,700 experts in 30 countries.

What you will do

  • Lead instrumentation and optimization of analytics applications like Amplitude across products.
  • Collaborate with data architects and engineers to build efficient data processes and contribute to product analytics architecture.
  • Provide strategic analytics leadership by standardizing reporting methodologies and fostering knowledge sharing.
  • Support product teams with actionable insights from customer usage data to inform prioritization and commercial decisions.
  • Manage and develop the product analytics team, ensuring effective resource use and knowledge management.

Requirements

  • Location: Must be able to work hybrid in Gurugram, India or Edinburgh, UK
  • Proven experience in data analysis, data modeling, and visualization with strong quality assurance skills.
  • Experience leading and managing small teams with day-to-day management and development.
  • Preferred knowledge of Amplitude, PowerBI, SQL, Python, and DAX.
  • Understanding of modern data architecture including cloud platforms and real-time analytics.
  • Strong communication skills and ability to work with diverse stakeholders.

Nice to have

  • Software engineering or data engineering background.
  • Experience with Agile methodologies and backlog prioritization.
  • Familiarity with AI applications in data analytics.

Culture & Benefits

  • Inclusive and trusting work environment focused on customer commitment and innovation.
  • Global company with diverse teams and opportunities for professional growth.
  • Supportive of equal opportunities and diversity in hiring.

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