Demand Planner

Job summary

We are looking for a data-driven Demand Planner to oversee and enhance the forecasting and inventory processes for hearing aids and accessories. This role involves developing and adjusting demand forecasts, collaborating with various teams, and driving global S&OP processes to align with business goals.

Qualifications

• Minimum of 2 years of experience in data analytics and sales demand forecasting using statistical tools, preferably in mid to large-scale international organizations.
• Entry-level professionals are encouraged to apply.
• A university degree in business management, logistics, supply chain, operations, industrial engineering, or related fields.
• Relevant certifications such as CPIM, CSCP, or in inventory management and strategic planning are advantageous.

Responsibilities

• Develop, review, and adjust demand forecasts based on statistical models, sales data, and market trends, considering factors like end-of-life products, promotions, and new product launches.
• Monitor and manage inventory levels in collaboration with affiliates and supply chain teams to ensure optimal stock levels and address supply issues proactively.
• Collaborate with sales, marketing, and finance teams to align demand plans with business objectives and promotional activities.
• Drive global demand planning and S&OP processes, managing risks and opportunities while ensuring alignment with sales budgets and forecasts.
• Prepare and analyze reports on forecast accuracy and inventory status, providing insights to stakeholders.
• Identify and implement continuous process improvements to enhance forecast accuracy and efficiency.

Skills

• Strong data analysis and reporting skills, with the ability to manage complex issues and large datasets.
• Solid knowledge of supply chain processes, forecasting methods, and business statistics.
• Proficiency in integrated supply chain and analytic tools such as Power BI, Excel, Tableau, Python, and PowerPoint.
• Excellent English communication and leadership skills, with a proven ability to collaborate and influence across functions and global teams.

Education

• A university degree in business management, logistics, supply chain, operations, industrial engineering, or related studies is required.

Tools

• Proficiency in Excel, Power BI, Tableau, and Python.