Senior Manager of Analytics Operations & Forecasting Job at MotoRad Ltd., Atlanta, GA

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  • MotoRad Ltd.
  • Atlanta, GA

Job Description

POSITION: Senior Manager of Analytics Operations & Forecasting

LOCATION: Atlanta, GA

REPORTS TO: Chief Operations Officer

JOB SUMMARY: MotoRad is looking for a Manager of Analytics Operations and Forecasting to join its Operations team. This position is responsible for delivering forward-looking data insights to drive strategic decision-making and optimize business processes. This role enhances forecast accuracy, maximizes working capital efficiency, and ensures operational initiatives align with the company’s annual plan. By leveraging advanced analytics and strong business acumen, this role bridges the gap between operations and strategy. The ideal candidate will collaborate cross-functionally with sales, manufacturing, and supply chain teams to refine forecasting methodologies, enhance efficiency, and support sustainable business growth. KEY DUTIES /

RESPONSIBILITIES

• Enhance Data-Driven Decision Making

• Optimize S&OP and Forecasting Accuracy

• Align Operations with Business Strategy

• Leverage Advanced Analytics & Machine Learning

• Drive Process Optimization & Automation

• Facilitate Cross-Functional Collaboration

• Implement Advanced Reporting & KPI’s

• Risk Mitigation & Problem-Solving

• 10-20% Travel

PREFERRED JOB REQUIREMENTS / QUALIFICATIONS

Minimum of 5 years in a leadership role driving analytics strategies within a global manufacturing and supply chain organization.

Proven experience leading and optimizing S&OP (Sales and Operations Planning) processes, aligning cross-functional teams to drive accurate forecasting, inventory management, and supply-demand balance.

Proven track record of successfully implementing scalable analytics solutions to optimize operations and drive business growth.

Extensive experience in data science and advanced analytics techniques, including machine learning, predictive analytics, optimization models, and simulation.

Proficiency in data analytics tools (e.g., Python, R, SQL, TensorFlow, Spark) and machine learning frameworks.

Strong expertise in business intelligence tools (Power BI, Tableau, Looker).

In-depth knowledge of supply chain dynamics, inventory management, and production planning.

Familiarity with ERP and SCM software (SAP, Oracle, NetSuite, etc.).

Experience in optimizing manufacturing and logistics operations.

Knowledge of automation tools and data pipeline development for process improvement.

Ability to integrate AI and machine learning techniques into operational workflows.

COMPENSATION & BENEFITS

• 401k employer contribution matching

• Multiple insurance options including health, dental, vision, life, short-term disability, long-term disability, health savings with employer contributions, and more for employees and their families

• Opportunities for advancement

Job Tags

Temporary work,

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