About this role
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.