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Tier-1 brand and remote/metro reach, but niche Snowflake/PowerBI+LLM skills moderate competition.
Core BI and data engineering skills are transferable, but required financial portfolio domain raises specificity.
Explicit 8–10 years plus mandatory Power BI, Snowflake, Python, and LLM experience increases filter strictness.
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Own the end-to-end data pipeline: build, maintain, and optimize complex Power BI reports and Snowflake Dataflows for portfolio performance and financial reporting.
Develop and deploy LLM-powered AI workflows using Claude API for natural language interaction, automated insights, and AI-assisted ETL and reporting.
Automate and improve business processes using Power Automate and Python scripts to reduce manual effort and enhance data quality and reporting reliability.
8–10 years in BI, data engineering, or analytics engineering roles.
At least 3 years of hands-on Power BI development including reports, Dataflows, and semantic models.
1–2 years of applied LLM or AI workflow development in a professional context with demonstrable results.
Master’s degree in Computer Science, Data Engineering, Information Systems, or equivalent experience.
Highly skilled full-stack BI and data engineer experienced in Power BI, Snowflake, Python scripting, and SQL for financial and portfolio data contexts.
Proven experience building production-grade LLM-powered AI workflows integrating APIs like Anthropic Claude for actionable business insights.
Comfortable working independently on complex technical pipelines and automation in a hybrid work environment with cross-functional stakeholder collaboration.