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BI Analyst/Looker Developer (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Poland
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
BI Analyst/Looker Developer (Looker/LookML): Building intuitive BI dashboards and data stories that help business users make data-driven decisions, with an accent on stakeholder collaboration, data visualization, and self-service analytics. Focus on designing Looker solutions, customizing dashboards with HTML and CSS, and contributing to AI agents, co-pilots, and automated insights.

Location: Kraków, Poland; hybrid model with 3 days in the office

Company

hirify.global is a FTSE 100 fintech operating across five continents, serving more than 1.4 million customers and processing billions of dollars in transactions.

What you will do

  • Design and build intuitive Looker dashboards for business users across IG.
  • Partner with stakeholders to gather reporting needs and translate them into effective visualization solutions.
  • Turn complex data into clear, compelling stories and insights that drive business action.
  • Customize dashboards with HTML and CSS and create documentation and training for self-service analytics.
  • Work with analytics engineers to use underlying data models effectively.
  • Contribute to AI agents, co-pilots, and automated insights for business users and clients.

Requirements

  • At least three years of experience in BI development and dashboard creation.
  • Expert knowledge of Looker and LookML, or a comparable BI tool.
  • Strong SQL skills for data analysis and manipulation.
  • Strong understanding of data visualization best practices and UX design principles.
  • Experience translating complex data into clear stories for non-technical audiences.
  • Strong stakeholder communication and requirements-gathering skills.

Nice to have

  • Basic HTML and CSS for dashboard customization.
  • Experience with Tableau or other data visualization tools.
  • Experience with cloud data platforms, particularly Google BigQuery.
  • Familiarity with dbt, data modeling, and applying AI to analytics products.

Culture & Benefits

  • Hybrid working model designed to support collaboration and connection.
  • Development programs, mentoring, career progression, and technical and leadership training.
  • Home office equipment reimbursement and private medical cover for the employee and family or partner.
  • Performance-related bonus, life insurance, employee share plans, and a Multikafeteria benefits system.
  • Additional paid time off for birthdays, volunteering, and community work.
  • Well-being events, Employee Assistance Programme, and social activities.

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