Manager, Financial Analysis

cslseqirus.co.nz

Hybrid
Advanced analytics and statistical software
Complex financial analyses
Data mining structured and unstructured data
The Manager of Financial Analysis at CSL Behring is responsible for providing advanced financial analytics to support business decisions related to capital projects, product mix, and operational changes. This hybrid role emphasizes collaboration with finance partners to drive efficiencies and insights, utilizing advanced analytics and modeling techniques

Job Summary

  • Provide support for business cases, apply advanced analytics to predict the financial impacts and implications of changes or potential changes to capital projects and portfolios, product mix, yield and supply, major operational, supply chain or network changes and other major changes to the business.
  • Complete advanced analyses and modelling that is not offered as a “standard” output from the FP&A Reporting & Insights team.
  • Lead Finance analytics projects that support the business and help drive efficiencies and support decision making and champion the use of advanced analytics.

Matching Summary

Match Score: 85

The Manager of Financial Analysis at CSL Behring is responsible for providing advanced financial analytics to support business decisions related to capital projects, product mix, and operational changes. This hybrid role emphasizes collaboration with finance partners to drive efficiencies and insights, utilizing advanced analytics and modeling techniques.

Skills & Requirements

Must-have

  • Advanced analytics and statistical software
  • Complex financial analyses
  • Data mining structured and unstructured data
  • Visualization software (PowerBI)
  • Financial modelling and predictive analytics

Nice-to-have

  • Subject matter expert
  • Champion advanced analytics
  • Process improvements
  • Global scientific/pharmaceutical industry experience

Key Requirements

  • 5 to 7 years' experience in finance or business analytics
  • Bachelor’s degree in finance, Business Analytics, or quantitative degree
  • Proven background in math, statistics, and modelling
  • Sound understanding of advanced analytics and statistical software (RStudio, Python)
  • MBA or other advanced degree in related field desired
  • Data Science or Data Management certification preferred

Work Rights

Not specified

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