Sr. Data Analyst (Planning)

Analog Devices (Chon Buri)

Chon Buri

ชลบุรี, ประเทศไทย

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $12 billion in FY22 and approximately 25,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible. Learn more at www.analog.com.

เกี่ยวกับตำแหน่งนี้

The Sr. Data Analyst (Planning) is responsible for data collection, analysis, visualization, and collaboration with cross-functional teams to improve planning processes and achieve company metrics.

หน้าที่รับผิดชอบ

• Data Collection and Preparation: Gather data from various sources (databases, spreadsheets, etc.), clean and validate data to ensure accuracy and consistency.
• Data Analysis and Interpretation: Utilize data analytic technique to identify trends, pattern and Interpret data to derive meaningful insights and recommendations for pro-active actions.
• Data Visualization and Reporting: Create clear and visually appealing data visualizations (charts, graphs, dashboards). Prepare the reports to communicate and collaborate with the user to understand their needs and deliver the report accordingly.
• Problem-Solving: Identify and solve data-related problems. Also develop data-driven solutions to improve planning process and achieve company metrics.
• Collaboration: Work closely with cross-functional teams to implement the projects which relate to Planning such as Smart Scheduling Tool, Op-Center, MRP system, etc.

คุณสมบัติ

• Bachelor's degree in Industrial Engineering, Computer Science, Data Science
• 5-7 years of experience with Production Planning process, including scheduling, capacity planning and material planning.
• Experience with data visualization tools (Tableau, Power BI, etc.)
• Proficiency in data analysis tools (SQL, Python, R, Excel, etc.)
• Strong analytical and problem-solving skills
• Excellent in English communication and presentation skills
• Ability to work independently and as part of a team