Data Reconciliation ArchitectWork mode: 100% RemoteStart: ASAPEngagement: Long-termEnglish level required: B2 - C2Role overviewWe are looking for an experienced Data Analyst with a strong focus on data validation, quality, and analytical accuracy, who enjoys working close to the data and understands how reliable datasets support critical business decisions.Key responsibilities Work hands-on with structured datasets to analyse, validate, and interpret data Design and execute data testing and validation activities to ensure high data quality Identify data issues, inconsistencies, and root causes, and propose practical solutions Collaborate with stakeholders to clarify data requirements and translate them into analytical outputs Support data processing workflows and contribute to continuous improvement of data reliability Technical requirements (must have) Experience working with data, preferably within insurance, financial services, or similar regulated environments Strong knowledge of SQL for querying and validating datasets Practical experience with data processing tools, such as Python, ETL pipelines, or comparable technologies Well-developed analytical thinking and problem-solving skills Solid understanding of data testing principles Nice to have Familiarity with Data Quality and Data Governance concepts Experience working in data-driven organisations with complex data landscapes