Assct Spclst, Data Analytics
Core
Senior BI engineering and data analytics role delivering scalable Machine Learning, Business Intelligence, and data science solutions for asset management and banking clients.
Role type
Senior individual contributor (BI Engineering & Applied ML)
Builds
Enterprise-grade reports, dashboards, semantic models, and predictive models for wealth management and asset servicing.
Domain
Banking and Financial Services (Asset Management)
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Advanced SQL, Python for analytics/ML, Microsoft Power BI (DAX, semantic modeling), Snowflake/Azure SQL, Direct Query optimization, AI/ML techniques, RBAC/security models, Microsoft Fabric concepts
Preferred skills
Asset management domain expertise, prompt and context engineering, self-service BI governance
Technologies
Power BI, Microsoft Fabric, Snowflake, Azure SQL, Synapse Analytics, Python, R
Responsibilities
Design and develop Power BI reports, dashboards, and executive scorecards; Lead design and optimization of semantic models; Write and tune advanced SQL queries; Apply AI/ML for forecasting and anomaly detection; Implement Direct Query and hybrid models; Collaborate on end-to-end analytics solutions; Support Power BI service operations and RLS; Define BI engineering standards; Provide mentoring to junior developers.
Seniority
Senior, hands-on IC with technical leadership