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3 часа назад

Senior Product Data Analyst (Product Analytics)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Product Data Analyst (Product Analytics): Driving strategic decision-making and optimizing product performance for the Mobile and Data Products lines with an accent on user behavior analysis and KPI alignment. Focus on defining data-driven roadmaps, collaborating with executive leadership, and establishing product success frameworks.

Location: Hybrid (London area / UK)

Company

hirify.global is a leading product analytics platform that provides a 360-degree customer knowledge view to optimize digital experiences.

What you will do

  • Partner directly with the Director of Product to shape the long-term mobile strategy.
  • Collaborate across product, engineering, customer success, and marketing to drive a cohesive global mobile strategy.
  • Define and align core KPIs with business objectives and company OKRs to evaluate product success.
  • Analyze user behavior and performance metrics to identify trends and improve market competitiveness.
  • Empower product teams with methodologies and tools to enable independent, data-driven decision-making.
  • Collaborate with engineering teams to ensure the infrastructure supports robust, scalable data analysis.

Requirements

  • 5+ years of experience as a data analyst or a similar data-focused role.
  • Proficiency in SQL, DBT, Excel, and Tableau (or similar visualization software).
  • Expertise in statistical analysis, data modeling, and creating advanced data visualizations.
  • Ability to translate complex data sets into actionable insights for non-technical stakeholders.
  • Experience working in cross-functional teams with product managers, engineers, and designers.
  • Must be based in the London area / UK.

Culture & Benefits

  • Equal opportunity employer committed to diversity and inclusion regardless of background.
  • Collaborative environment integrating quantitative and qualitative insights via Product Research.
  • Focus on fostering a strong data culture within the product organization.

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