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Data Analyst

Fisher & Paykel Appliances (Thailand) Co., Ltd. (Rayong, Rayong, Thailand)
Rayong, Thailand 🇹🇭
Fisher & Paykel Appliances designs, manufactures & markets a range of innovative household appliances developed with a commitment to technology, design, user-friendliness & environmental awareness. We have been designing products since 1934 & have grown into a global company operating in 50 countries, manufacturing in Thailand, Mexico, China and Italy. Our design heritage is founded on a pioneering spirit & a culture of curiosity that has challenged conventional appliance design to consistently deliver products tailored to human needs. For us, legacy is about looking to the future while ensuring what we develop today is aligned to the fundamental principles of sustainable design. We are committed to ongoing research and development. Our culture is one of open innovation, which allows people to work collaboratively to find insights & ideas that connect with our customers & respect our planet. Fisher & Paykel Appliances Ltd includes other subsidiary companies. Dynamic Cooking Systems Inc, in the USA specialises in outdoor & indoor cooking products some of which are now available in Australia & NZ, & Fisher & Paykel Italy specialises in European cooking products.

Detail posisi

The Data Analyst at Fisher & Paykel Appliances will support the production planner by collecting, analyzing, and interpreting data to optimize production processes and ensure efficient use of resources.

Kewajiban

• Develop a deep knowledge in your area of expertise.
• Work with your team to provide vision and leadership within the strategic goals of FPA.
• Put the customer at the centre of everything you do.
• Support the production planner by collecting, analyzing, and interpreting data.
• Optimize production processes and ensure efficient use of resources.
• Work closely with various departments to gather data.
• Identify trends and provide actionable insights that enhance production planning and decision-making.

Kualifikasi

• Personal Responsibility.
• Ability to communicate with various levels of management.
• Attention to detail.
• Thoroughness.
• Keep Confidentiality.
• Integrity.
• Experience in data analysis, preferably in a manufacturing or production environment.
• Experience with ERP systems and manufacturing data analysis is a plus.