Senior Technical Data Analyst

  • Full Time
  • Development
  • Bucharest, Romania - Hybrid and remote-friendly

Overview

We’re looking for a Senior Technical Data Analyst to join one of our Data Warehouse and BI teams. You’ll be the technical bridge between business requirements and data architecture — turning business rules and integration needs into clear specifications, solid data models, and traceable data flows that other teams can build on with confidence.

Requirements

Technical analysis

  • Translate business requirements, data rules, and integration needs into detailed technical specifications for data flows and solutions.
  • Produce and maintain technical documentation: functional and technical specs, data flow diagrams, mappings, and system diagrams.
  • Map technical dependencies across systems, applications, modules, and integration flows.
  • Work with technical teams and vendors to clarify requirements and validate proposed solutions.
  • Lead and participate in technical analysis sessions with business and IT stakeholders.
  • Keep documentation current throughout the life of each project and implementation.

Data analysis & modeling

  • Analyze and profile source data sets to identify structures, relationships, and anomalies.
  • Assess technical feasibility of requirements based on available data and system dependencies.
  • Define detailed source-to-target mappings from validated prototypes.
  • Build and maintain conceptual, logical, and physical data models (ERD) aligned with business needs and the company’s data architecture.
  • Apply advanced modeling techniques — normalization, star/snowflake schema — to optimize performance and support reporting and analytics.
  • Define entities, relationships, and integration rules to keep data flows consistent and well documented.
  • Partner with business and IT teams to validate data models against operational and technical requirements.

Data lineage & traceability

  • Maintain technical metadata in the data catalog, ensuring field-level lineage between source and target systems.
  • Document technical dependencies and transformation rules behind each data flow.
  • Run technical impact analysis ahead of changes to systems and data flows.
  • Flag data quality or integration risks and work with the right teams to resolve them.
  • Define technical data validation rules and help build them into testing processes.
  • Contribute to lineage, metadata management, and data validation standards and tooling.

Testing & implementation support

  • Partner with business analysts and testers to validate technical implementations and data flows.
  • Provide technical support during testing and UAT, and help investigate defects.
  • Reconcile data between source and target systems to confirm consistency and integrity.
  • Support implementation of technical changes and fixes across data flows and solutions.
  • Make sure implementations meet agreed project specifications and standards.
  • Work model: Hybrid and remote-friendly. We trust you to deliver, wherever you work best from.

Desired profile

Must-have

  • University degree in IT, Cybernetics, Economic Informatics, Mathematics, or a related field.
  • 10+ years of experience in a similar technical data analyst role.
  • Strong hands-on SQL skills and solid understanding of database and data modeling concepts.
  • Proven experience with source-to-target mappings, data flow documentation, and system diagrams.
  • Practical experience building conceptual, logical, and physical data models, including dimensional modeling (star/snowflake schema).
  • Working knowledge of data lineage and metadata management practices.
  • Sharp analytical and problem-solving skills — able to diagnose complex requirements and validate solutions with data.
  • Comfortable facilitating technical discussions with both business and IT stakeholders.
  • Strong written and verbal communication, with the ability to produce clear technical documentation.

Nice to have

  • Experience in the banking or retail industry.
  • Certifications or specialized training in SQL, databases, or data modeling.
  • Familiarity with data governance and validation tooling.

How you work

  • A team player with strong ownership and attention to detail.
  • A self-starter, comfortable managing multiple projects in parallel.
  • Curious and proactive about improving standards, tools, and ways of working.
Interested and suitable for this job?
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