Data Analyst, Investment Professional
Core
Designing curated analytic data structures, building reusable data products, and maintaining the analytics layer to power front-office dashboards and quantitative tools for investment decisions.
Role type
Senior IC analytics engineer (investment data)
Builds
Analytics-ready datasets, reusable data products, and semantic layers for investment analytics
Domain
Financial services / Asset management / Investment analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Advanced SQL, Data modeling, Snowflake, Python (pandas/PySpark), Data governance, Data lineage, Version control (Git), BI tools (Power BI/Tableau), Investment data structures
Preferred skills
Enterprise data warehouse experience, AI-enabled analytics workflows, Financial services domain knowledge, Automation techniques
Technologies
Snowflake, Databricks, Aladdin, Python, SQL, Power BI, Tableau, Git
Responsibilities
Design analytic data structures and shared business logic; Provide controlled data access via SQL and APIs; Build and maintain the analytics and semantic layer; Monitor data quality and documentation; Support data needs for AI and agentic workflows; Collaborate with platform teams on enterprise architecture alignment; Build analytics-ready datasets and reusable data products; Apply automation and AI techniques for data ingestion and anomaly detection; Improve coding and documentation practices for data pipelines.
Seniority
Senior, hands-on IC