Data System Analyst

Quick Facts

• Role: Data System Analyst

• Focus: Data-driven insurance claims and benefits ecosystem

• Tech context: CDP platform, Medallion Architecture

Description

You will help build a modern data ecosystem for handling claims and benefits, based on automation, AI, and data processing. The work includes modeling data structures and flows, defining data contracts and integration interfaces, and translating business/reporting needs into functional and non-functional system requirements. You will also analyze source systems/events, prepare data mappings across architecture layers, and support documentation, workshops, and test/acceptance scenarios.

Responsibilities

• Model data structures and flows; define logical data models and data contracts

• Specify interfaces, APIs, and asynchronous integrations including transformation, aggregation, validation, and historization rules

• Convert business and reporting needs into complete system requirements (functional and non-functional), including data quality, SLA, and batch vs near real-time load frequency

• Analyze source system data structures and business events; prepare source-to-Medallion-to-downstream data mappings

• Participate in refinement sessions and analytics workshops; support technical specialists with test scenarios, test data, and acceptance criteria

• Create and maintain system documentation (data flows, models, interfaces, transformations, dependencies)

• Identify requirement gaps, inconsistencies, and risks across stakeholders, systems, and data products

Requirements

• Minimum 3 years of experience as systems, IT, or data analyst on data platform/data warehouse/reporting/large-scale data processing projects

• Experience in data modeling and mapping, including source-to-target mappings; relational and dimensional modeling; defining data contracts and integration interfaces

• Knowledge of UML and BPMN; ability to run analytics workshops and align requirements with business and technical stakeholders

• Very good SQL skills; practical experience analyzing database structures, relationships, data quality, and transformation outcomes

• Knowledge of ETL/ELT processes, data architecture (including Medallion Architecture), and data pipeline design principles

Benefits

• B2B project-based collaboration with stage-based billing and acceptance protocols for deliverables

• Fast and remote process; flexible B2B cooperation

• Participation in industry events and technology meetups

• Services performed in Warsaw approximately 3 times per week

• AI recruiting assistant (AIR) available 24/7 during the process; final decision made by the Project Owner

• Administrative/support coverage for cooperation matters

• Referral bonus: 5,000 PLN for recommending friends