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Location
In office (Cluj-Napoca)

Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Nov 11, 2026.

Overview
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Banca Transilvania is a Romanian bank that also serves Romanians living abroad through a dedicated diaspora offering. It hires SAP consultants, IT business analysts, security specialists and telesales advisers. The bank is headquartered in Cluj-Napoca, Romania.

Your digital journey starts here!

Create. Grow. Deliver our story to millions.

#BTCode, where technology meets creativity. Code is our universal language and innovation is the fuel that propels us into the future.

Job Summary:

Data warehouse analysts collect, analyze, and mine data from information storage systems to help businesses make better decisions. They research and recommend tech solutions for data storage, reporting, and management, working closely with business intelligence teams to turn requirements into logical data models.

Responsibilities:

  • Work closely with stakeholders to collect business requirements in a clear and well-documented manner in order to translate them into business terms and functional specifications.

  • Analyze data from multiple sources to detect trends, anomalies, and inconsistencies, ensuring reliability and integrity.

  • Create technical specifications for Data Warehouse and ETL processes across domains (Client, Product, Transactions), including data mart design, reporting, and analytics requirements.

  • Drive cross-functional collaboration with business users and technical teams to proactively identify and mitigate project risks and dependencies.

  • Partner with data modelers and engineers to design scalable, high-performance data solutions aligned with business needs.

  • The role requires creating detailed gap analysis documentation to identify technical and functional discrepancies in data processes. It involves developing and maintaining comprehensive technical requirements documentation for all data solutions.

  • Producing business requirements documents with technical mappings, documenting processes and workflows with system integration points, and authoring use cases with data transformation logic. The position also requires formally documenting ETL implementations and enhancements through structured technical write-ups that cover source-to-target mappings, data validation rules, and change impact analysis.

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