Forecast Data Analyst at General Motors

Warren, Michigan, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Supply ChainIndustries

Requirements

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 Requirements
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

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 processes 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

Skills

Forecasting

Statistical Modeling

Machine Learning

Time Series

Data Analysis

SQL

Python

S&OP

Inventory Optimization

MAPE

RMSE

Data Pipelines

Dashboards

Maestro

Kinaxis

Demand Planning

General Motors

Designs, manufactures, and sells vehicles

About General Motors

General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.

Detroit, MichiganHeadquarters

1908Year Founded

$486.7MTotal Funding

IPOCompany Stage

Automotive & Transportation, Financial ServicesIndustries

10,001+Employees

Benefits

Paid Vacation

Paid Sick Leave

Paid Holidays

Parental Leave

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) Company Match

401(k) Retirement Plan

Tuition Reimbursement

Student Loan Assistance

Flexible Work Hours

Discount on GM vehicles

Risks

Shutting down Cruise Robotaxi may affect investor confidence in GM's AV strategy.

Chevrolet Equinox EV recall could harm GM's safety reputation.

Leadership transition in design may disrupt continuity and brand identity.

Differentiation

GM's Dynamic Fuel Management system enhances fuel efficiency in traditional vehicles.

GM leads in board diversity with 55% women directors.

GM's pivot to personal autonomous vehicles aligns with consumer trends.

Upsides

Partnership with Nvidia boosts GM's autonomous vehicle technology capabilities.

Collaboration with ChargePoint expands EV charging infrastructure, enhancing consumer appeal.

Bryan Nesbitt's appointment as design head may bring innovation to GM's vehicle design.

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