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8 дней назад

Data Analyst (Tableau)

Формат работы
onsite
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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TL;DR
Data Analyst (Tableau) (AI-powered market intelligence): Building Tableau reports and dashboards that translate large-scale market and pricing data into actionable insights for commercial teams with an accent on data storytelling, statistical analysis, and transparent decision intelligence. Focus on optimizing SQL queries and joins, integrating multiple data sources through ETL, and administering Tableau Server.

Location: Warsaw, Poland

Company

hirify.global builds responsible AI-powered market intelligence solutions that help commercial teams make data-driven decisions and improve profit growth.

What you will do

  • Build reports and dashboards in Tableau to turn complex datasets into actionable business insights.
  • Analyze data and explain changes, trends, and outcomes to non-technical audiences through clear storytelling and visualizations.
  • Work with large-scale datasets and optimize query logic, indexes, and joins for performance.
  • Integrate data from multiple sources through ETL processes and support analytics workflows.
  • Administer Tableau Server, including user management, performance monitoring, and troubleshooting.
  • Collaborate with the data analytics team to support delivery and meet deadlines.

Requirements

  • At least 4 years of experience in data analytics.
  • At least 2 years of hands-on Tableau experience, including Tableau Prep, report creation, and dashboard development.
  • Proficiency in SQL and experience with ETL processes and multi-source data integration.
  • Strong analytical, communication, and storytelling skills, with the ability to explain complex data to non-technical audiences.
  • Experience working with large-scale datasets and optimizing queries, indexes, and joins.
  • B.Sc. or Master’s degree in Economics, Statistics, Mathematics, or a related field.

Nice to have

  • Experience with BigQuery and Dataform.
  • Experience with Python libraries such as pandas, NumPy, Matplotlib, or Plotly.
  • Domain knowledge in airlines, transportation, logistics, or vacations.

Culture & Benefits

  • Work at the intersection of business, technology, AI, and data storytelling.
  • Contribute to transparent, glass-box decision intelligence based on market data rather than personal data.
  • Join a growing data analytics team focused on explaining insights and supporting commercial decisions.
  • Continuous learning and adaptation to new challenges are encouraged.

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