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Strong employer brand but senior, niche BI+LLM skillset reduces broad applicant density.
Core BI and Snowflake skills transfer across industries, but finance context and LLM experience add specialization.
Explicit 8–10 years plus mandatory Power BI, Snowflake, Python, and Master's degree.
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Own end-to-end BI reporting pipeline: design and maintain complex Power BI reports, Dataflows, and semantic models on Snowflake for portfolio, financial, and resource data.
Develop and deploy LLM-powered AI workflows (using Claude Anthropic API) to enable conversational data access, automate insight generation, and optimize financial reporting processes.
Automate business processes using Power Automate and integrate multi-source data (SharePoint, SAP, Workday, Azure DevOps) into governed reporting layers.
8–10 years experience in BI engineering, data engineering, or analytics engineering.
At least 3 years hands-on in advanced Power BI development including Dataflows and semantic models; 1–2 years applied LLM/AI workflow development experience.
Strong skills in Power BI (DAX, RLS), Snowflake (schema design, complex SQL), Python scripting for automation, and Power Automate.
Master’s degree in Computer Science, Data Engineering, Information Systems, or equivalent experience.
Technically proficient individual contributor comfortable with multi-layered BI stacks integrating Power BI, Snowflake, Python, and AI/LLM tooling in financial portfolio contexts.
Experienced in building production-level agentic AI workflows, advanced DAX calculations, and automated reporting pipelines within regulated/financial environments.
Strategic thinker who can partner cross-functionally with Finance, Product Ops, and Engineering to deliver automated insights and streamline manual processes.