

NLB Services
Senior Data Analyst
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
856
-
ποΈ - Date
April 22, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Santa Clara, CA
-
π§ - 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 β 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’ Bachelorβs 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
Job Title: Senior Data Analyst
Location: Santa Clara, CA (Hybrid β 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’ Bachelorβs 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






