Analyste de données principal modernisant les plateformes et pipelines de données d’EDC, société financière publique canadienne. Traduction des besoins opérationnels en modèles, règles de transformation et récits utilisateurs.
LP
Sr. Data Modeller/Business Analyst (Banking)
Posted via LinkedIn Recruiter (not a company profile)
Posted 2 months ago
About the role
- Sr. Data Modeller/Business Analyst needed for large-scale data initiatives in equity markets, building scalable data structures for analytics and reporting.
Responsibilities
- Design and develop Silver Layer tables and views to support analytics and reporting needs. Build scalable data models supporting batch processing and future real-time use cases. Collaborate with business analysts, data analysts, and technology teams to gather requirements and define data structures. Perform data profiling, exploration, and analysis leveraging SQL and Python/PySpark. Define data relationships, formats, and standards to enhance data consistency and usability. Analyze large data sets to identify trends, anomalies, and actionable insights. Optimize datasets for BI tools such as Power BI and real-time analytics platforms. Support data ingestion initiatives by ensuring high-quality, reusable datasets for downstream applications. Work within an Azure Databricks environment to support historical and real-time analytics.
Requirements
- 5+ years of experience in data analytics, data modelling, or business intelligence roles. Proven hands-on relational data modelling experience, including designing table structures, relationships, and schemas. Advanced proficiency in SQL. Intermediate experience with Python, including PySpark for data profiling and exploration. Strong ability to translate business needs into effective technical data solutions. Deep understanding of data quality, profiling, and optimisation techniques. Excellent cross-functional collaboration skills with technical and business stakeholders. Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, Engineering, Economics, Physics, Business).
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