Mopar North America Forecasting Analyst

Auburn Hills, MI

Full-time

Onsite

Entry, Mid Level

Stellantis is a leading automotive company, and they are seeking a Forecasting Analyst to manage service parts demand forecasting and optimize inventory across the North American network. This role involves analyzing historical trends, collaborating with various teams, and leveraging forecasting tools to ensure optimal part availability and drive continuous improvement.

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Responsibilities

Develop, maintain, and refine forecasts using F2K legacy forecasting system and MARCS demand planning tools
Analyze historical trends, seasonality, product life cycle, and service rate performance to improve forecast accuracy
Maintain safety stock calculations and recommend adjustments to balance availability and inventory cost
Depot-level UCS analysis - What are areas to improve inventory to yield customer service improvements
Partner with Inventory Planning to align forecast outputs with stocking strategies
Work with suppliers and purchasing teams to communicate demand changes, risks, and capacity constraints
Collaborate with field operations, network design, and depot operations teams to align strategies across the network
Execute long-term inventory health plans aligned with S&OP and Mopar strategic priorities
Analyze inventory availability, fill rates, and service performance to identify improvement opportunities
Perform safety stock analysis and recommend adjustments based on demand variability, lead-time changes, and risk mitigation needs
Support depot-level UCS analysis to ensure stocking policies optimize space utilization and service coverage
Lead digital transformation efforts to modernize reporting pipelines using Power BI, SQL, and advanced analytics tools

Qualification

Required

Bachelor's degree in supply chain, Business, Analytics, Finance, Engineering, or related field
2+ years of experience in inventory management, supply chain analytics, or operations planning
Strong command of inventory planning methodologies, E&O frameworks, and financial implications
Expertise in data analytics and reporting tools (Excel Advanced, Access, Cognos, Power BI)
Experience leading teams and managing cross-functional projects
Ability to manage complex datasets and deliver clear, actionable insights
Strong communication and executive presentation skills
Ability to work onsite per Stellantis inperson work requirements

Preferred

Experience within the automotive or service parts industry
Hands-on experience with Stellantis systems: CITS, CLTSO, MARCS, Cognos, F2K, WMS, and mainframe reporting
Knowledge of SQL, Python, or data automation tools
Familiarity with S&OP processes and KPI governance
Experience driving inventory reduction, E&O mitigation, and reporting standardization at scale
Statistical Knowledge of how inventory is modeled
Forecasting techniques not limited (Alpha , Forecast Value Added, MAPE, and Best Fit)
Proven ability to manage multiple priorities in a matrixed organization