Associate Analyst (PHL and THA Mfg Only), Materials Management

Come join Analog Devices (ADI) a place where Innovation meets Impact. For more than 55 years, Analog Devices has been inventing new breakthrough technologies that transform lives. At ADI you will work alongside the brightest minds to collaborate on solving complex problems that matter from autonomous vehicles, drones and factories to augmented reality and remote healthcare.

ADI fosters a culture that focuses on employees through beneficial programs, aligned goals, continuous learning opportunities, and practices that create a more sustainable future.

About Analog Devices

Analog Devices, Inc. (NASDAQ:) 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 $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible. Learn more atand onand.

Highly motivated data analyst with a strong focus on driving continuous improvement initiatives. Someone who leverages data to provide actionable insights, enhance operational efficiency, and support system development projects. Experience with Power BI or similar business intelligence tools is considered a strong advantage.

Key Responsibilities:

• Collect, analyze, and interpret complex datasets to support strategic and operational decision-making.

• Develop and maintain dashboards, reports, and visualizations to monitor performance metrics.

• Identify opportunities for process improvement and lead initiatives that enhance productivity and quality.

• Collaborate with cross-functional teams to implement data-driven solutions.

• Support system development and automation projects, particularly in Power BI.

Qualifications:

• Bachelors degree in Data Science, Statistics, Business Analytics, Computer Science, Industrial Engg or related field.

• Strong proficiency in SQL, Excel, and data visualization tools (Power BI preferred).

• Demonstrated experience in process improvement methodologies (Lean, Six Sigma, or equivalent).

• Excellent communication and stakeholder management skills.

• Self-motivated with a continuous improvement mindset.