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Forecast Data Analyst
Forecast Data AnalystGeneral Motors • Warren, Michigan, United States of America
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Forecast Data Analyst

Forecast Data Analyst

General Motors • Warren, Michigan, United States of America
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Job Description

We are looking for a highly analytical and results-driven Forecasting Data Analyst  to bridge the gap between advanced data science and supply chain business operations. In this hybrid role, you will contribute to the designing and deployment of forecasting models while directly supporting demand planning, inventory optimization, and operational decision-making. You’ll combine statistical modeling, machine learning, and business collaboration to deliver accurate and actionable forecasts that drive supply chain efficiency and resilience.

Key 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.
  • Collaborate with cross-functional teams (supply chain, operations, finance, sales, marketing) to gather inputs, validate assumptions, and establish process that align forecasts with business goals.
  • Contribute to 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
  • Continuously look for opportunities to improve processes and recommend data-driven solutions to enhance business performance.
  • Support day to day activities including performing forecast reviews, ad-hoc data pulls and analysis, and investigations into chronic forecast errors.

Qualifications

Required :

  • Bachelor’s or Master’s degree in Data Science, Statistics, Supply Chain Management, Industrial Engineering, or related field.
  • 1–3 years of experience in forecasting, demand planning, or supply chain analytics or equivalent experience through school projects and / or internship programs.
  • Sufficient knowledge in Python or R for statistical modeling and data manipulation.
  • Familiar 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.
  • Excellent communication and collaboration skills.
  • Preferred :

  • Experience in manufacturing, retail, logistics, or similar industries.
  • Exposure to machine learning frameworks (scikit-learn, XGBoost, TensorFlow).
  • Knowledge of cloud platforms (AWS, GCP, Azure) and version control (e.g., Git).
  • 2–4 years of experience in forecasting, demand planning, or supply chain analytics.
  • GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

    This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

    This job may be eligible for relocation benefits.

    About GM

    Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

    Why Join Us

    We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

    Benefits Overview

    From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources .

    Non-Discrimination and Equal Employment Opportunities (U.S.)

    General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

    All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

    We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and / or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire .

    Accommodations

    General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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    Data Analyst • Warren, Michigan, United States of America

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