Data Analyst

We are seeking a Senior Data Analyst to lead the end-to-end conversion and automation of our Public Cloud Cost & Usage Long Range Planning (LRP) model. The current model is an Excel-based, driver-driven framework that projects multi-year public cloud spend across compute, storage, networking, and managed services. This role will migrate that model into a maintainable, production-grade Jupyter Notebooks environment complete with automated source-system pipelines, versioned model snapshots, and a Monte Carlo simulation engine for probabilistic forecasting. Here are some of the specific details: Job Title: Senior Data Analyst Job Duration: 5+ months Job Location: Santa Clara, CA (2 days onsite) REQUIRED SKILLS: • Bachelor's degree in Finance, Economics, Mathematics, Computer Science, or a quantitative discipline. CFA, CIMA, CPA, or AFP/FP&A certification is a plus. • 5+ years in financial modelling, FP&A, or cloud economics roles. • Jupyter Notebooks Financial Modelling — Mandatory. • 3+ years of hands-on Python / Jupyter financial modelling (not data science alone). • Proficiency in core Python modelling stack: NumPy, Pandas, SciPy (stats), and at least one Monte Carlo framework (PyMC, NumPyro, custom simulation engine, or equivalent). • Excel LRP / Driver-Based Model Experience — Mandatory. • Source System Pipeline Engineering / Model Versioning & Variance Analysis / Flexible. • Demonstrable Git proficiency, experience with code review in a team modelling context is preferred. A reasonable, good faith estimate of the minimum and maximum for this position is $85/hr to $95/hr on W2.