Required skills
- Data Modeling
- Data Flow Modeling
- Data Contracts
- API Specification
- Data Transformation
- Data Aggregation
- Data Validation
- Data Historization
- Business Requirements Analysis
- System Requirements
- Data Quality
- SLA Management
- Source System Analysis
- Data Mapping
- Source-to-Target Mapping
- Relational Modeling
- Dimensional Modeling
- Integration Interfaces
- UML
- BPMN
- Workshop Facilitation
- Stakeholder Management
- SQL
- Database Analysis
- ETL
- ELT
- Data Architecture
- Medallion Architecture
- Data Pipeline Design
- Data Warehouse
Nice to have:Microsoft AzureAzure DatabricksAzure Data Lake StorageAzure Data FactoryData GovernanceMetadata ManagementData CatalogingData LineagePower BISemantic ModelingData Mart DesignLakehouseDelta LakeData VersioningApache Spark
Languages: Polish
Job description
Seeking an experienced Data System Analyst for a project building a modern, data-driven claims and benefits ecosystem using CDP and Medallion Architecture. The role involves data modeling, translating business needs into system requirements, and analyzing source systems.
Project overview
Together with our Partner from the insurance industry, we are looking for an experienced specialist to provide services as a Data System Analyst.
The project involves building a modern data, automation, and AI-based claims and benefits ecosystem, implemented on a CDP platform based on the Medallion architecture.
- Modeling data structures and flows, preparing logical data models, and specifying data contracts, interfaces, APIs, and asynchronous integrations along with transformation, aggregation, validation, and historization rules.
- Translating business and reporting needs into complete system requirements (functional and non-functional), covering data quality, SLA, and batch and near real-time feeding frequencies.
- Analyzing source systems, data structures, and business events, and preparing data mappings between source systems, Medallion architecture layers, and downstream systems.
- Participating in refinement sessions and analytical workshops, and providing ongoing support to technical specialists with test scenarios, test data, and acceptance criteria.
- Preparing and maintaining system documentation covering data flows, models, interfaces, transformations, and dependencies.
- Identifying dependencies, gaps, inconsistencies, and risks in requirements among stakeholders, systems, and data products.
- Minimum 3 years of experience as a system, IT, or data analyst on projects involving data platforms, data warehouses, reporting, or processing large data volumes.
- Experience in data modeling and mapping, including preparing source-to-target mappings, relational and dimensional modeling, and defining data contracts and integration interfaces.
- Knowledge of UML and BPMN notation and experience in conducting analytical workshops and aligning requirements with business and technical stakeholders.
- Very good knowledge of SQL and practical experience in analyzing database structures, relationships between tables, data quality, and transformation results.
- Knowledge of ETL/ELT processes, data architectures (including Medallion Architecture), and data processing pipeline design principles.
Nice to have
- Experience with Microsoft Azure-based data platforms, particularly Azure Databricks, Azure Data Lake Storage, or Azure Data Factory.
- Knowledge of Data Governance issues, including metadata management, data cataloging, data lineage, and data quality.
- Knowledge of reporting tools, particularly Power BI, semantic modeling, and Data Mart design.
- Knowledge of Lakehouse concepts, including Delta Lake, data versioning, and basic Apache Spark operation.
Project details
- Start: ASAP
- Location: Warszawa, PL
- Rate: 111-130 EUR/h
- Languages: Polish
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