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Forecasting Data Analyst

General Motors

Salary not specified
Sep 3, 2025
Warren, MI, US
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The business problem is to bridge the gap between advanced data science and supply chain business operations by designing and deploying forecasting models to support demand planning, inventory optimization, and operational decision-making, ultimately driving supply chain efficiency and resilience.

Requirements

  • Proficient in Python or R for statistical modeling and data manipulation.
  • Proficient with forecasting techniques (ARIMA, Prophet, exponential smoothing, regression, etc.).
  • Experience with data tools like SQL, Excel, and BI platforms (Power BI, Tableau).
  • Familiarity with forecasting and supply chain planning systems (e.g., SAP IBP, Kinaxis, Oracle Demantra).
  • Strong analytical mindset with attention to detail and problem-solving skills.
  • Experience in manufacturing, retail, logistics, or similar industries.
  • Exposure to machine learning frameworks (scikit-learn, XGBoost, TensorFlow).

Responsibilities

  • Analyze historical data, seasonality, trends, and external factors to improve forecast accuracy.
  • Integrate forecasts into S&OP processes and provide insights to improve inventory planning and service levels.
  • Monitor and improve forecast accuracy (e.g., MAPE, RMSE) and provide root-cause analysis for forecast errors.
  • Communicate technical findings and forecasts clearly to both technical and non-technical stakeholders.
  • Contribute to building and maintaining time series and machine learning models to forecast demand, sales, and other key supply chain metrics.
  • Contribute to the development of automated data pipelines, dashboards, and tools to streamline forecast reporting and decision-making.
  • Perform scenario analysis and risk modeling utilizing Maestro / Kinaxis to support supply chain contingency planning

Other

  • This role is categorized as hybrid.
  • This job is not eligible for relocation benefits.
  • Bachelor’s or Master’s degree in Data Science, Statistics, Supply Chain Management, Industrial Engineering, or related field.
  • 2–4 years of experience in forecasting, demand planning, or supply chain analytics.
  • Excellent communication and collaboration skills.