Demand Planner

Company Description

Join Gabriel North America, a market leader in suspension systems products, established in 1907. We design, manufacture, and distribute top-notch suspension products for automotive aftermarket and other specialty vehicles. With a robust team of over 1,100 employees across multiple locations in the US and Mexico, we offer a dynamic and collaborative work environment. If you're passionate about the automotive industry and are eager to be part of a century-old innovating company, apply now and accelerate your career with us!

This position is with Gabriel Ride Control LLC, a proud member of MAT Holdings Inc. We’re a family of companies and products providing employment opportunities with more than 14,000 employees in 12 countries. Founded in 1984, MAT Holdings, Inc. is a privately held $ billion multi-national company with manufacturing operations, distribution centers, and sourcing offices worldwide in the automotive, fencing, hardware, and power equipment sectors. Headquartered in Long Grove, Illinois, we have over 40 factories on three continents, including million square feet of distribution and manufacturing space.

Benefits

• MAT Holdings Inc. and its subsidiaries offer a complete benefits package that includes medical, dental, vision, and disability insurance after 60 days of employment
• Paid Time Off (PTO), including paid vacation, sick days, and paid holidays
• 401k Retirement Plan + Company Match
• Career Advancement Program, training and development
• Wellness Programs, including fitness reimbursements and mental health support
• Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
• Voluntary Life / AD&D , Employer Provided Life/AD&D
• and More

Job Description

Job Summary

This position drives the monthly demand planning process (including statistical and consensus / collaborative forecasting approaches). This individual will maintain recurring updates of a "finished goods" forecast. This person is responsible for collaborating with the interaction and alignment of the cross-functional S&OP team, including sales, marketing, supply chain planning, customer service, distribution, and manufacturing.

Principle Responsibilities

• Key participant in monthly collaborative demand review as part of the S&OP process.
• Develop and maintain a monthly demand forecast for all finished goods parts using order and shipment history, customer point of sale data, market intelligence, and industry trends to inform the projected demand.
• Influence and collaborate with key partners in sales, supply planning, marketing, and finance to understand and interpret the potential impact demand drivers can have on demand and adjust the statistical forecast to reflect those impacts.
• Analyze and develop insights on data from customer point of sales data systems and internal order management systems.
• Lead continuous improvement efforts to advance the demand planning and forecasting process capabilities.
• Maintain forecast vs. actual history data by customer, product family, channel, geography, and SKU.
• Develop and maintain monthly forecast accuracy and forecast bias metrics.

Qualifications

Competencies

• Knowledge or experience with enterprise planning software is a plus (, SAP, JDA, Oracle, etc.)
• Experience using and interacting with MRP systems is a plus.
• Detail-oriented and can organize work activities in highly ambiguous situations.
• Strong analytical skills with the ability to translate data into high-level analysis and demand planning
• Strong MS Office skills ( Excel and Access).
• Ability to work within high-performing teams and is highly collaborative
• Excellent interpersonal, verbal, and written communication, including delivering presentations to the Executive Level Team

Education/Experience:

• Undergraduate degree in business, supply chain, or engineering required.
• 1-2 years of supply chain planning experience in S&OP, demand, and/or supply planning.
• Knowledge of forecasting processes in sales, marketing, finance, and manufacturing and understanding of basic statistical modeling methods and strategies

Additional Information

All your information will be kept confidential according to EEO guidelines.