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Business Analyst with Japanese

TQLO SP. Z O.O.Cały światCały świat

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano14 września 2026
Wykryte przez nas
Wykryte przez nas17 września 2026
Zarobki
Zarobki25 200 - 33 600 PLN

TQLO Sp. z o.o. is seeking an experienced Business Analyst with Japanese language skills to join an international project focused on data-driven initiatives. You will act as a bridge between business stakeholders and technical teams, translating complex requirements into functional solutions within the Power BI and Azure ecosystem.

Key responsibilities

  • Leading the analysis of business needs and translating them into structured functional requirements for Power BI solutions.
  • Defining expectations for data models, business rules, calculations, and dashboard visualizations.
  • Collaborating with business stakeholders to challenge assumptions and turn reporting needs into actionable technical requirements.
  • Supporting ETL initiatives by defining data mappings, dependencies, and expected outcomes.
  • Coordinating requirements across multiple stakeholders to ensure consistency between business objectives and delivered solutions.

Requirements

  • Minimum 5 years of commercial experience in Business Analysis, specifically within data, analytics, or BI projects.
  • Proven experience acting as a Lead Business Analyst or taking ownership of an analytical workstream.
  • Practical knowledge of Power BI, data models, and ETL processes within the Azure ecosystem.
  • Strong expertise in spend analysis, classification, and procurement analytics.
  • Very good command of English and Japanese, enabling professional communication with international stakeholders.

What we offer

  • Opportunity to take ownership of a key analytical workstream within a global data and BI project.
  • Direct involvement in shaping Power BI solutions from initial requirements through functional design.
  • Collaboration with international business, data, and engineering teams.
  • Flexible project allocation allowing for either full-time or part-time cooperation.

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