NLB Services

Senior Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Analyst contract position in Santa Clara, CA, focusing on financial modeling and Python automation. Requires 5+ years in financial analysis, proficiency in Python, Jupyter Notebooks, and SQL, with advanced Excel skills preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
856
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πŸ—“οΈ - Date
April 22, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Santa Clara, CA
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🧠 - Skills detailed
#Cloud #Data Analysis #Visualization #Data Pipeline #Plotly #Public Cloud #NumPy #SciPy #Matplotlib #"ETL (Extract #Transform #Load)" #Computer Science #Python #Automation #Pandas #Jupyter #SQL (Structured Query Language) #Scala
Role description
Job Title: Senior Data Analyst Location: Santa Clara, CA (Hybrid – Tues to Thurs onsite preferred) Duration: Contract (Potential to convert to FTE) Job Summary We are seeking a Senior Data Analyst with strong experience in financial modeling and Python-based automation to support public cloud long-range planning (LRP) initiatives. This role focuses on converting complex Excel-based financial models into scalable, production-ready solutions using Jupyter Notebooks and Python. Key Responsibilities β€’ Build and maintain financial models using Python and Jupyter Notebooks β€’ Convert and optimize Excel-based LRP and driver-based models into automated solutions β€’ Perform Monte Carlo simulations and scenario analysis (P10/P50/P90) β€’ Develop data pipelines for extracting and processing financial and billing data β€’ Conduct variance analysis and create financial insights using visualization tools β€’ Collaborate with finance, engineering, and business teams to align modeling outputs with business needs Required Skills β€’ Strong experience with Python (NumPy, Pandas, SciPy) and Jupyter Notebooks β€’ Hands-on experience with financial modeling and FP&A concepts β€’ Experience with Monte Carlo simulations and scenario modeling β€’ Advanced Excel skills and experience with complex financial models β€’ SQL knowledge and experience working with data pipelines β€’ Experience with data visualization tools (Plotly, Matplotlib, or similar) Qualifications β€’ Bachelor’s degree in Finance, Economics, Computer Science, or related field β€’ 5+ years of experience in financial modeling, data analysis, or FP&A β€’ 3+ years of experience using Python for financial modeling β€’ Experience working with cloud or technology environments is a plus