Fp&a Analyst Intern

GE VERNOVA

Python (pandas, numpy, matplotlib/seaborn)
Statistical forecasting
Data visualization (tableau/power bi/excel)
Utilize Python (Pandas) to clean, transform, and merge disparate datasets from Salesforce, Data Lake, and ERP systems

Job Summary

  • Utilize Python (Pandas) to clean, transform, and merge disparate datasets from Salesforce, Data Lake, and ERP systems.
  • Apply regression analysis and time-series modeling to project future revenue streams and operational expenses.
  • Build statistical models to identify the "signals" vs. "noise" in budget variances, helping leadership focus on high-impact anomalies.

Matching Summary

Utilize Python (Pandas) to clean, transform, and merge disparate datasets from Salesforce, Data Lake, and ERP systems.

Skills & Requirements

Must-have

  • Python (Pandas, NumPy, Matplotlib/Seaborn)
  • Statistical forecasting
  • Data visualization (Tableau/Power BI/Excel)
  • Regression analysis and time-series modeling
  • Variance attribution modeling
  • Predictive cost/revenue modeling

Nice-to-have

  • Transforming raw financial data
  • Moving from descriptive to predictive insights
  • Improving financial forecast accuracy

Key Requirements

  • Intermediate Python
  • Advance Excel and PowerBI
  • Understanding of correlation, linear regression, and probability distributions
  • Experience with Oracle ERP, Hyperion

Work Rights

Not specified

Tailored Resume

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