System Analyst

Project overview

At KUBO, we are looking for someone to support our client in the insurance industry in the system analysis of data and reporting solutions developed on the CDP platform for a new claims handling system.

This is a role for an Analyst who combines the ability to understand business needs with data analysis and system solution design. You will translate business and reporting needs into detailed requirements, analyze data sources and flows, model data structures, and prepare specifications for development teams. Collaboration with business, business analysts, architecture, source system teams, the CDP team, and the data and analytics area will be equally important to ensure that the developed solutions meet the needs of the new claims handling system.

Responsibilities

Ideal Candidate

Cooperation Conditions

Recruitment Stages

• Analyzing business and reporting needs and transforming them into complete, unambiguous, and implementable system requirements.
• Acquiring, detailing, and documenting functional and non-functional requirements for the CDP platform and the reporting area.
• Analyzing source systems, data structures, business events, and data feeding mechanisms for the CDP platform.
• Identifying data, attributes, relationships, and business rules needed to create data products, registries, KPIs, and reports.
• Developing data mappings between source systems, individual Medallion architecture layers, and downstream systems.
• Modeling data structures and flows, and developing logical data models.
• Analyzing and specifying data contracts, interfaces, APIs, messages, and asynchronous integrations.
• Defining rules for data transformation, aggregation, filtering, validation, and historization.
• Specifying data quality requirements, including completeness, correctness, consistency, uniqueness, timeliness, and compliance with business rules.
• Agreeing on data delivery frequency, SLA requirements, and needs for batch processing and near-real-time processing.
• Analyzing dependencies between systems, data products, reports, and teams responsible for implementing individual solution components.
• Identifying gaps, inconsistencies, risks, and contradictions in requirements reported by various stakeholders.
• Supporting the Product Owner in creating and organizing the CDP backlog and preparing tasks for refinement.
• Participating in refinements, work planning, analytical workshops, and architectural agreements.
• Providing ongoing support to developers and testers in interpreting requirements and explaining business and system rules.
• Collaborating with testers in developing test scenarios, preparing test data, and defining solution acceptance criteria.
• Creating and updating system documentation, including descriptions of data flows, models, interfaces, transformations, and dependencies.
• Actively collaborating with business teams, architects, developers, testers, source system teams, and the Data and Analytics area.
• At least 3 years of experience as a System, IT, or Data Analyst in projects related to data platforms, data warehouses, reporting, or large data volume processing.
• Ability to acquire, analyze, and document business, functional, system, and technical requirements, and manage changes to these requirements.
• Very good knowledge of SQL and practical experience in analyzing data, database structures, relationships between tables, data quality, and transformation results.
• Experience in analyzing, modeling, and mapping data, including developing source-to-target mappings, creating relational and dimensional models, and defining data contracts and integration interfaces.
• Knowledge of ETL/ELT processes, data architectures
• including Medallion architecture
• and principles of designing and operating data processing pipelines.
• Knowledge of analytical notations and techniques, particularly UML, BPMN, sequence diagrams, use cases, and data flow diagrams.
• Ability to define non-functional requirements regarding performance, availability, security, data quality, monitoring, retention, and data feeding frequency.
• Experience in identifying dependencies, exceptions, and edge cases, and assessing the impact of changes on systems, data, and business processes.
• Experience in collaborating with business and technical stakeholders, including Product Owners, architects, developers, and testers, as well as in conducting analytical workshops and agreeing on requirements.
• Practical knowledge of tools supporting analysis and requirements management, such as Jira, Azure DevOps, Confluence, or similar solutions, ability to create unambiguous and organized documentation, and a high level of independence, responsibility, and analytical thinking.
• Knowledge of English at a minimum B2 level.
• Cooperation form: B2B.
• Location: Warsaw (3 days a week in the office)
• Project duration: until the end of March 2028 + optional extension.
• Rate: up to 110 PLN/h
• Benefits: Private medical care, sports card, life insurance
• Conversation with KUBO recruiter (approx. 20-30 min.)
• Technical interview with the client's team
• Feedback

Project details

• Start: flexible
• Remote: hybrid
• Location: Warszawa, Rondo Daszyńskiego, PL
• Rate: 90-110 EUR/h
• Languages: Polish, English