Lead of data projects within the Finance Department's data team
* Lead international workshops with finance teams, actively gathering requirements
for process automation, data visualisation, and introducing new KPIs
* Supervise operational data integration workflows in the ADLS Gen2 data lake
using Qlik Replicate. Develop SQL and PySpark scripts, seamlessly integrating
them into ETL flows through Azure Data Factory
* Execute Star modeling for data marts and Azure Analysis Services cubes,
showcasing proficiency in database design principles
* Pioneer the development of comprehensive reports, dashboards, and Power
BI applications for financial data visualisation projects such as Cash Flow,
Invoice Processing, PnL, Budget Monitoring, and Financial Reconciliation
(AR/AP)
* Apply expertise in PowerQuery (M Code) for modeling datasets and dataflows,
implementing advanced DAX formulas to create impactful Key Performance
Indicators (KPIs)
* Implement Power Automate flows to streamline raw data collection operational
processes, enhancing efficiency and data accuracy
* Develop a comprehensive Power BI report consolidating usage metrics of all
reports across workspaces and Azure Analysis Services cubes, utilising Excel
and Kusto queries via Azure Log Analytic
* Lead the centralisation of data repositories and implement robust data quality
control measures, demonstrating a commitment to data integrity / accuracy
* Actively maintain and continuously improve projects in production (RUN), displaying
dedication to ongoing enhancements and optimisations
* Draft meticulous technical documentation and user manuals, contributing to
effective knowledge transfer and user adoption
* Conduct comprehensive training sessions for end-users, facilitating a smooth
transition and ensuring proficient utilisation of Power BI reports
Developer of AAS cube and Power BI reports for the Business Line Health within
the Customer & Innovation Department's data team
* Actively participate in various workshops with healthcare professional managers
to meticulously define requirements and business rules
* Spearhead the development and industrialisation of insightful Power BI reports,
facilitating the visualisation and in-depth analysis of data derived from
Angel and BonjourDocteur services
* Implement robust Row-Level Security (RLS), strategically restricting access
to health data to ensure compliance and confidentiality for specified users
* Author comprehensive and detailed documentation for Power BI reports, providing
clear guidelines for understanding and utilisation
* Collaborate closely with data engineers and data managers in the seamless
integration of operational data into the datalake, execute star modeling for
datamarts, and play a pivotal role in the creation of Azure Analysis Services
AAS cubes
Skills: Azure Databricks/ Data Factory/ Storage Explorer/ Analysis Services/ Log
Analytics/ DevOps, Spark, SQL, KQL, Power BI, M Code, Power Automate