Finanční analytici a špecialisti v oblasti finančníctva, poisťovníctva a ostatných finančných služieb

Skills: - Proficient Excel skills for data analysis, reconciliation, and validation. - Experience with data investigation, troubleshooting, and root cause analysis. - Ability to understand business processes and translate them into structured solutions. - Experience working with Neo4j or graph databases. - Basic SQL knowledge, including the ability to read and understand queries. - Background in insurance, financial services, or data operations. - Proactive mindset with strong attention to detail and the ability to detect inconsistencies in data and processes. - Experience collaborating with software developers and technical teams. - Experience with data quality management or data governance. - Knowledge of data analysis tools such as Power BI and Jira is a plus.

Responsibilities: -Perform data curation and validation activities to ensure high data quality across core insurance datasets. - Investigate and resolve complex data issues through deep analysis of data structures and system behaviour. - Work with graph databases (Neo4j) and relational data structures to identify inconsistencies and anomalies. - Conduct root cause analysis for data issues and collaborate with developers to implement sustainable fixes. - Define and document business and technical requirements for improvements to data processes and systems. - Support testing and validation of new technical solutions and enhancements before production deployment. - Monitor data flows and business logic to ensure consistency across systems. - Identify opportunities to improve data quality, processes, and automation. - Deliver clear end-to-end outcomes when assigned tasks, including analysis, solution proposal, and final validation. - Communicate findings and recommendations clearly to both technical and non-technical stakeholders. - DQ issues management - Drive cross-functional squads (including MI, Systems, Data, and Operations) to resolve Data Quality issues.