Build and operationalize AI-powered automation for Finance with cross‑functional teams.
Collaborate with Finance SMEs to translate workflows into technical solutions.
Work around platform limitations with creative engineering-led workarounds.
Establish reusable components to accelerate the Finance AI portfolio.
Provide training and light support to Finance teams for long-term use.

🎯 Requirements

3+ years in Data Analytics, Technical Ops, BI, or similar
SQL proficiency: complex queries, CTEs, window functions, joins
Automation: low-code tools, scripting, workflows, or custom integrations
AI/LLM tools, prompt engineering, automation platforms, and RPA; MCP familiarity
Python, Databricks, ETL/ELT, data pipelines; AI-assisted coding

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