Senior Data Analyst — Public Cloud LRP Model Automation (# 8055)

Summary:
· We’re in search of a Senior Data Analyst to drive automation of Public Cloud Long-Range Planning (LRP) financial models, focusing on translating complex Excel-based financial models into scalable Python-based solutions using Jupyter Notebooks. This role requires strong expertise in financial modeling, Monte Carlo simulation, and data pipeline engineering to support FP&A and cloud economics initiatives.

Here are some of the specific details:

Job Title: Senior Data Analyst — Public Cloud LRP Model Automation
Location: Santa Clara, CA
Duration: 5+ Months
Status: Hybrid (Tues–Thurs onsite; PST hours preferred)

Description

This role focuses on building production-grade financial models in Python, converting complex Excel-based LRP models, and implementing Monte Carlo simulations to support long-range planning for public cloud environments. The ideal candidate combines strong financial modeling expertise with advanced Python development skills and experience in data pipeline engineering.

Key Responsibilities:

• Build and maintain production financial models in Jupyter Notebooks using Python
• Implement Monte Carlo simulations including distribution fitting, correlated sampling, and scenario outputs (P10/P50/P90)
• Translate and convert Excel-based LRP and driver-based models into Python with validated accuracy
• Reverse-engineer complex Excel models, documenting assumptions and logic
• Develop driver-based financial models including sensitivity and scenario analysis
• Build lightweight ETL/ELT pipelines using Python (API integration, data normalization, incremental loads)
• Perform SQL-based data extraction from billing systems and data warehouses
• Create financial visualizations such as waterfall charts, fan charts, and tornado charts
• Design model versioning frameworks to track inputs, assumptions, and outputs
• Conduct variance analysis and build automated commentary explaining business driver
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• Minimum Qualifications:

  • Bachelor’s degree in Finance, Economics, Mathematics, Computer Science, or related field
  • 5+ years of experience in financial modeling, FP&A, or cloud economics
  • 3+ years of hands-on Python financial modeling using Jupyter Notebooks
  • Proven experience with Monte Carlo simulations in Python
  • Direct experience with Excel LRP / driver-based financial models
  • Strong proficiency in SQL and data handling
  • Demonstrable Git experience 
   

• Preferred Qualifications:

  • Experience with PyMC, NumPyro, or custom Monte Carlo frameworks
  • Familiarity with Airflow, Prefect, or dbt for pipeline orchestration
  • Experience with advanced financial visualization tools (Plotly, Matplotlib, Bokeh)
  • Certifications such as CFA, CIMA, CPA, or FP&A
  • Experience with model versioning and structured financial analysis frameworks
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  • A reasonable, good faith estimate of the minimum and maximum for this position is $80 to $85/hour

    Benefits will also be available and details are available at the following link:
    https://britehr.app/HarveyNashContractorsNH2025

    I am looking forward to speaking with you today. 
    
    
    

    About us:

    Harvey Nash is a national, full-service talent management firm specializing in technology positions. Our company was founded with a mission to serve as the talent partner of choice for the information technology industry.

    Our company vision has led us to incredible growth and success in a relatively short period of time and continues to guide us today. We are committed to operating with the highest possible standards of honesty, integrity, and a passionate commitment to our clients, consultants, and employees.

    We are part of Nash Squared Group, a global professional services organization with over forty offices worldwide.
    For more information, please visit us at https://www.harveynashusa.com/

    
    

    Regards
    Bahadur Khan