Demo

Sr. Finance Analyst - Data Modeling & Analytics

honeywell2-pilot
Charlotte, NC Full Time
POSTED ON 2/27/2025
AVAILABLE BEFORE 4/26/2025

The future is what you make it. When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers and doers who make the things that make the future. That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings smart and safe and even making it possible to breathe on Mars.

Working at Honeywell isn’t just about developing cool things. That’s why all our employees enjoy access to dynamic career opportunities across different fields and industries.

Are you ready to help us make the future?

This role is responsible for partnering with the businesses, finance leaders and end user base exercising flexibility in a matrixed organization to identify emerging trends and implementing meaningful drivers and opportunities for forecast tuning.

The role also supports development and enhancement of financial data models across key financial metrics to provide best-in-class, transparent and accurate forecasting.

It will perform root cause analysis and interpret data and analyze using various techniques to identify anomalies and suggest solutions

The right candidate should have a strong analytical mindset and propensity for developing models and scenario analysis tools, strong data skills (SQL/Access, VBA, Python, R, etc.).

As well as skills to dissect data and processes to surface potential problems and opportunities and the ability to drive change management and root cause analysis techniques.

Ability to influence others and communicate effectively

This role reports to the Senior Director of Planning & Forecasting Transformation.

Key Responsibilities

  • Design, implement and enhance control monitoring processes and documentation for established data models
  • Support the standard forecast accuracy MOS including tools, templates and process
  • Coordinate day to day process support including website maintenance and data models program management
  • Facilitate continuous improvement of established processes

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