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November 4, 2026

Senior Systems Analyst (Data & Integration)

Senior • On-site

168,000 - 216,000 PLN/yr

Warsaw, Maz, Poland

Quick Facts

  • Role: Senior Systems Analyst (Data & Integration)

  • Employment: Full-time

  • Salary range: 14,000–18,000 PLN gross (base salary + 1% regulated bonus + seniority allowance)

  • Work model: Remote/hybrid

Description

You will join the e-Krew project, a central teleinformatics system supporting blood donation and transfusion operations. The role focuses on eliciting stakeholders’ needs and translating them into business, analytical, and technical data requirements, then designing and documenting data structures and data integration flows. You will also work on data quality and governance, analytics/reporting support, and data migration validation.

Responsibilities

  • Identify stakeholders’ needs and develop business, analytical, and technical requirements for data processing, integration, storage, access, and reporting

  • Design, develop, and document data structures in IT systems, including conceptual, logical, and physical data models and processing rules

  • Analyze, design, and document data flows and integration mechanisms between systems (APIs, ETL/ELT, transformation and exchange rules)

  • Participate in designing and developing data platforms such as data warehouses, repositories, and analytics/reporting solutions with performance, scalability, availability, and security requirements

  • Analyze data quality (completeness, integrity, consistency), identify issues, and define recommendations and mechanisms to improve quality

  • Develop and maintain data management standards: modeling, naming, classification, documentation, metadata management, data dictionaries, and reference data

  • Collect, analyze, and interpret data from internal and external sources; prepare analyses, reports, summaries, and visualizations

  • Analyze trends, dependencies, and anomalies; help define KPIs and support analytical/statistical/predictive models

  • Assess the impact of legal, organizational, and technological changes on data structures and processing; evaluate compliance with standards

  • Support data migration processes (mapping, transformations, validation) and participate in correctness testing

  • Collaborate with business, architecture, development, infrastructure, security, and testing teams across design, deployment, maintenance, and evolution of data-driven solutions

  • Identify constraints of existing solutions and propose improvements and optimizations

  • Support users and project teams with data analytics, reporting, and explaining data issues

  • Perform additional tasks assigned by the employer related to the scope of the role

Requirements

  • Higher education with 3 years of professional experience as a system analyst (or related role) OR secondary education with 5 years of professional experience

  • Knowledge of data analysis, modeling, processing, integration, and data management in information systems

  • Ability to design and document data structures (conceptual, logical, physical models)

  • Knowledge of relational and non-relational databases and SQL

  • Knowledge of integration and data exchange mechanisms: APIs, ETL/ELT, and exchange formats (XML, JSON, CSV)

  • Knowledge of data warehouses, data repositories, and analytics/reporting solutions

  • Ability to identify and document business, functional, and technical data requirements

  • Ability to analyze data quality (completeness, integrity, consistency) and identify anomalies

  • Knowledge of data governance principles for metadata, data dictionaries, and reference data

  • Ability to write analytical and technical documentation, including data flow diagrams, data models, and interface specifications

  • Knowledge of tools and methods for data analysis, reporting, and visualization

  • Ability to analyze system dependencies and assess impact of changes on data structures/flows

  • Basic information security knowledge, personal data protection, and interoperability requirements

  • Ability to plan and verify data migration, transformation, and validation processes

  • Analytical problem-solving skills and ability to formulate conclusions and recommendations

  • Collaboration and communication skills with business stakeholders and technical teams

  • Independent work organization, prioritization, and documentation aligned with standards

Benefits

  • Employment contract

  • Remote/hybrid work model

  • Co-financing for training and courses

  • Co-financing for children’s vacation

  • Bonuses for top performance

  • Flexible working hours

  • 13th gross salary

  • mybenefit cafeteria

  • Time off for preventive medical exams

  • Social package (low-interest loans)

  • Co-financing for corrective glasses

  • Work on modern projects

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