Data Analyst

Náplň práce
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 managementDrive cross-functional squads (including MI, Systems, Data, and Operations) to resolve Data Quality issues.