NSHIMIYE Patrick

Principales responsabilités Mise en place et maintien d’un Data Governance Framework Gestion des sujets liés à la data ownership, aux définitions métier et aux contrôles de gouvernance Gestion des métadonnées, du business glossary et des data products, ainsi que contribution à l’adoption d’un Data Catalog Mise en œuvre des contrôles de qualité des données, monitoring, gestion des incidents et suivi des actions de remédiation Documentation et maintien de la data lineage de bout en bout Maintien des preuves de gouvernance et de la documentation nécessaires aux audits Implémentation de solutions MDM (Master Data Management)

As a Business Data Analyst, my mission was to provide IT and analytics support to the accounting departments, ensuring efficient data management, reporting automation, and process optimization. My responsibilities included: • Develop and maintain interactive dashboards and reports using Power BI and Tableau, providing real-time insights to senior management. • Analyze large datasets to identify trends, patterns, and opportunities for business growth and operational efficiency. • Lead data integration projects to consolidate data from multiple sources, ensuring data accuracy and consistency. • Collaborate with cross-functional teams to define key performance indicators (KPIs) and develop metrics that support strategic goals.

My mission at COFACE was mainly to build, maintain and implement IFRS17 standard on SAS solution. Responsibilities: • Documented the complete process flow to describe program development, logic, testing, application, integration, coding, and implementation. • Document data quality and traceability documents for each process. • Use data analysis technique to validate IFRS17 rules and identify low quality missing data. • Prepare, develop, create, and share Power BI reports. • Working on exporting reports in multiple formats. • Create technical specifications documents based on the functional design document for SAS solution implementation. • Perform small enhancements (data cleansing/data quality). Environment : JIRA, GIT, Linux, Power BI, Excel,SAS, Oracle, Sharepoint.

Responsible for customer data quality including accuracy, rele- vance, completeness, and security of data across the organiza- tion supported and aligned with RIC and customer lines. • Propose and implement Pricing Scenarios in the (new) Revenue Management system • Provide data science (statistics and modelisation) expertise to internal customers. • Ensures global projects data is shared for appropriate cleansing, storage, analysis and to enable a central view of data across the portfolio. • Supporting, coaching, and coordinating members of the P&C insurance on data driven solutions.

Working closely with the finance team to understand metric sensitivity, financial platforms, forecasting variance and other business end-to-end performance indicators. • Perform Ad-hoc requests such as client retention, client behaviors or segmentation, or contract and pricing strategies, or trading performance analysis. • Automate production of reporting and data delivery across different.

Gathering critical information from meetings with various stakeholders and producing useful reports. • Conducting meetings and presentations to share ideas and findings. • Working closely with clients, technicians, and managerial staff. • Create ad-hoc spreadsheets linked to SQL data sources. • Manage multiple ongoing research projects.