Senior Data Analyst

• B2B, 12 months + extensions

• Rate: up to 130 PLN/h net + VAT

• 100% remote with occasional business travels

• Required presence in Wrocław approximately once every six months.

• International cooperation with group-level stakeholders.

• Language: English AND Polish

We are looking for an experienced Senior Data Analyst / Data & BI Expert to join a strategic data initiative within an international banking environment. The role combines business analysis, data modelling, data integration, data quality and technical project leadership. You will work on the development of data layers supporting risk modelling processes, helping build a consistent, complete and auditable historical data foundation and ensuring alignment with group-level standards and validation requirements.

Your responsibilities

Business analysis and solution design

• Gathering, analysing and documenting business and technical requirements.

• Leading discussions with business stakeholders, data owners, architects and technology teams.

• Identifying data sources required to fulfil business and analytical needs.

• Translating business requirements into technical data solutions.

• Designing data flows and solution concepts.

• Performing impact analysis across processes, systems and data structures.

• Providing recommendations regarding solution design and implementation.

Data modelling and integration

• Designing and developing analytical and modelling data layers.

• Creating mappings between multiple source systems.

• Defining transformation logic and business rules.

• Integrating data from multiple internal and external sources.

• Designing and supporting ETL/ELT pipelines.

• Supporting the development of data warehouse and data mart solutions.

• Ensuring consistency and completeness of data used in analytical and modelling processes.

Data quality and validation

• Defining and implementing data quality rules and controls.

• Designing validation processes.

• Identifying data anomalies and inconsistencies.

• Performing root cause analysis and recommending remediation activities.

• Supporting functional, integration and acceptance testing.

• Ensuring that solutions meet audit, regulatory and organisational requirements.

Project and stakeholder coordination

• Coordinating activities across business and technology teams.

• Leading analytical workshops and project working sessions.

• Managing dependencies, risks and potential delivery blockers.

• Driving decisions and follow-up actions.

• Preparing recommendations and implementation plans.

• Supporting code reviews and production deployment activities.

• Ensuring transparency and timely delivery across assigned workstreams.

Must-have experience

• At least 6 years of professional experience in Data Analytics, Business Intelligence, Data Engineering or a related data domain.

• Strong experience designing and developing data layers, data warehouses, data marts or analytical solutions.

• Experience integrating data from multiple source systems.

• Hands-on experience performing business analysis in complex technology projects.

• Experience working across multiple business and technology teams.

• Strong SQL and T-SQL skills.

• Very good knowledge of Microsoft SQL Server.

• Practical experience with ETL/ELT solutions.

• Good practical knowledge of Python for data processing and automation.

• Experience with data workflow orchestration tools, preferably Apache Airflow.

• Experience with Power BI.

• Knowledge of Git or similar version-control tools.

• Strong understanding of data modelling, transformation and integration patterns.

• Practical experience defining data quality and validation rules.

• Good stakeholder management and workshop facilitation skills.

Nice to have

• Experience coordinating complex data workstreams involving multiple teams.

• Banking or financial services experience.

• Experience with risk data, risk modelling or regulatory data environments.

• Experience with Data Governance and Data Quality Management.

• Exposure to audit-sensitive or regulatory data processes.