Thomas Halfpenny

• Oversee the ingestion and quality of incoming data, managing a team of three data quality analysts and one master data analyst to ensure accuracy, consistency, and compliance with governance standards.
• Develop and enforce data quality rules to maintain accuracy, consistency, and compliance with governance standards.
• Analyse business requirements for data collection, recommend tailored solutions, and oversee successful implementation.
• Collaborate with data owners and stewards to ensure compliance with data quality standards.
• Establish and oversee data ingestion processes, maintaining high data quality and ensuring integrity across systems.
• Perform in-depth root cause and impact analysis for data issues, implementing corrective actions and proactive controls to minimize future risks.

Key Achievements:

• Contributed significantly to the migration of datasets from a legacy data ingestion platform, implementing new data quality rules while safeguarding existing ETL processes and preventing any impact on downstream systems.
• Played a key role in the implementation of the Semarchy master data management tool, establishing a centralized repository for master and reference data while embedding data quality rules at the point of entry to improve consistency and accuracy.
• Supported the integration of a Meta Data Registry, ensuring precise tracking of data attributes, lineage, and validation rules to enhance data governance.
• Designed and implemented over 100 automated reconciliation reports using SQL, ensuring continuous monitoring and validation of data integrity through daily health checks.

• Managed data ingestion processes for the underwriting team, implementing stringent data quality controls.
• Implemented automated workflows to streamline data validation, reducing processing time by 50%.
• Collaborated with IT to improve data ingestion templates and introduce new validation rules.
• Designed and developed high-impact MI reports and dashboards, providing actionable insights to executive leadership and driving data-informed decision-making.

Key Achievements:

• Designed and implemented a new data mart, optimizing transformation logic for better reporting performance.
• Automated and improved data quality workflows, allowing for more validations in less time.
• Proactively identified and addressed data quality issues, leading to improved decision-making processes.

• Led customer business integration efforts, conducting on-site data mapping and analysis to align client data with system requirements and ensure seamless functionality.
• Produced scheduled and ad hoc reports for stakeholders, including directors and CEOs.
• Investigated and resolved data discrepancies, improving overall business process efficiency.
• Conducted comprehensive data cleansing and alignment initiatives for the Data Warehouse, ensuring accuracy, consistency, and improved data quality.
• Developed and implemented data models and interactive dashboards to monitor KPIs and drive customer analytics insights.

Key Achievements:

• Became a lead point of contact for automating reporting requirements.
• Developed interactive BI dashboards to enhance data visualization and insights.