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Strong employer brand plus metro location and broadly attractive BI/AI skillset increase candidate competition.
Requires finance portfolio reporting context and specialized LLM workflows, reducing cross-industry transferability.
Explicit 8–10 years plus mandatory Power BI, Snowflake, Python, and LLM experience tighten filters.
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Own the end-to-end data pipeline for portfolio reporting: build and maintain complex Power BI reports, dataflows and semantic models leveraging Snowflake data.
Develop and ship LLM-powered AI workflows using Claude API for conversational data access, automated insights, and narrative generation in financial and portfolio contexts.
Automate and optimize business processes with Power Automate and Python scripts to improve report distribution, data quality, and analysis efficiency.
8–10 years in BI/Data engineering or analytics engineering roles.
3+ years hands-on Power BI development including reports, Dataflows, and semantic models.
1–2 years applied experience developing and deploying LLM or agentic AI workflows in production.
Master's degree in Computer Science, Data Engineering, Information Systems, or equivalent experience.
Expertise operating across BI, data engineering, and AI layers within financial data domains like portfolio performance, financial forecasting, and resource management.
Demonstrated ability to build production AI solutions integrating large language models to automate insights and data interaction in complex enterprise settings.
Strong hands-on technical contributor comfortable writing advanced DAX, SQL, Python code and deploying automated pipelines and AI workflows independently.