Senior Systems Analyst

Quick Facts

• Position: Senior Systems Analyst (full-time)
• Salary range: 14,000–18,000 PLN gross
• Project focus: e-Krew central IT system for the public blood service
• Work model: remote/hybrid

Description

You will support the e-Krew initiative by identifying stakeholder needs and translating them into business, analytical, and technical requirements for data processing, integration, storage, access, and reporting. The role includes designing data structures and integration flows, contributing to data quality and data governance standards, and performing analyses and decision-support reporting. You will also participate in data migration, transformation, and validation and collaborate with business, architecture, development, infrastructure, security, and testing teams.

Responsibilities

• Identify stakeholder needs and create business, analytical, and technical requirements for processing, integrating, storing, sharing, and reporting data
• Design, develop, and document data structures (conceptual, logical, and physical data models) and define rules for data organization and processing
• Analyze, design, and document data flows and integration mechanisms (API interfaces, ETL/ELT, transformation and exchange rules)
• Help design and develop databases, data warehouses, repositories, and analytics/reporting platforms with performance, scalability, availability, and security requirements
• Assess data quality (completeness, integrity, consistency), identify anomalies, and propose data quality improvement mechanisms
• Develop and maintain data management standards: modeling rules, naming, classification, documentation, metadata management, data dictionaries, and reference data
• Collect, analyze, and interpret data from CeZ systems and external sources; prepare analyses, reports, summaries, and visualizations
• Analyze trends, dependencies, and anomalies; support defining KPIs and analytical/statistical/predictive models
• Evaluate the impact of legislative, organizational, and technological changes on data structures and processing; ensure compliance with standards
• Participate in data migration processes (mapping, transformations, validation) and support correctness/integration/presentation testing
• Work with business, architecture, development, infrastructure, security, and testing teams on data-driven solutions
• Identify constraints in existing solutions and propose recommendations for improvement and optimization
• Support users and project teams with data analysis and reporting and explain data issues

Requirements

• Higher education with 3 years of professional experience OR secondary education with 5 years of professional experience
• Knowledge of data analysis, data modeling, data processing, integration, and data management in IT systems
• Ability to design and document data structures, including conceptual, logical, and physical models
• Relational and non-relational databases; SQL; ability to design data structures
• Data integration and exchange mechanisms: API, ETL/ELT, and formats such as XML, JSON, CSV
• Data warehouse and analytics/reporting solutions; data repositories
• Ability to identify and document business/functional/technical data requirements
• Ability to analyze and detect data quality issues (completeness, integrity, consistency)
• Data governance knowledge: metadata, data dictionaries, and reference data
• Ability to prepare analytical and technical documentation (data flow diagrams, data models, interface specifications)
• Tools and methods for data analysis, reporting, and visualization
• Ability to analyze system dependencies and assess change impact on data structures and flows
• Basics of information security, personal data protection, and interoperability requirements
• Ability to plan and verify data migration/transformation/validation
• Analytical thinking, problem-solving, and ability to provide findings and recommendations
• Ability to collaborate with stakeholders and technical teams and communicate complex topics clearly
• Independent work organization, prioritization, and documentation aligned to standards
• Strong fit also expected in experience with data warehouses, analytics platforms, large-volume data, and tools such as SQL, Python, ETL/ELT, Power BI
• Preferred healthcare interoperability standards knowledge: HL7 and FHIR

Benefits

• Employment contract (umowa o pracę)
• Remote/hybrid work model
• Co-financing of training and courses
• Co-financing for children’s rest
• Bonuses for top performers
• Flexible working hours
• 13th gross salary
• MyBenefit cafeteria
• Time off for preventive medical checkups
• Social package (low-interest loans)
• Co-financing for corrective glasses
• Work with modern technologies on interesting projects