Business Intelligence Analyst

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. 

What We Offer

Salary:

$100,000.00 - $137,500.00

Location:

Austin,TX

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. 

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. 

Key Responsibilities

• Design, develop, and maintain impactful dashboards, reports, and analytics solutions using SQL, Tableau, and Python to support key business decisions.
• Collaborate closely with stakeholders to understand evolving business needs, translate them into data requirements, and deliver actionable insights.
• Ensure accuracy, timeliness, and confidentiality of all BI assets by implementing robust data validation and governance controls.
• Build and optimize data pipelines and reporting frameworks, integrating data from multiple sources including data warehouses and cloud platforms.
• Lead efforts to improve reporting efficiency and usability through automation, exception reporting, and user-friendly design.
• Educate and support business users on accessing and interpreting dashboards and reports, fostering data literacy across teams.
• Proactively identify opportunities to improve processes, reduce manual work, and enhance decision-making through data.
• Participate in the development of scalable BI infrastructure and contribute to data modeling and ETL design.
• Apply statistical learning, optimization techniques, and operations research methods to solve complex business problems.
• Support Agile project delivery using tools like JIRA, and contribute to sprint planning, backlog grooming, and cross-functional collaboration.

Functional Knowledge

• Demonstrates strong conceptual and hands-on expertise in business intelligence, data visualization, and analytics.
• Proficient in SQL, Tableau, and Python; experience with Databricks, Spark, and cloud platforms (e.g., AWS, GCP) is a plus.
• Familiarity with Agile methodologies, JIRA, and project tracking tools.
• Experience or education in Logistics, Supply Chain, or Industrial Engineering is strongly preferred.
• Solid foundation in statistical modeling, optimization, and operations research.

Business Expertise

• Understands business strategy and how data can drive outcomes; able to align reporting solutions with organizational goals.

Leadership

• Takes ownership of deliverables; mentors junior analysts and leads small projects with measurable impact.

Problem Solving

• Solves complex data challenges with creativity and rigor; comfortable working with ambiguity and evolving requirements.

Impact

• Delivers insights that influence customer experience, operational efficiency, and strategic planning across teams.

Interpersonal Skills

• Communicates clearly and confidently with technical and non-technical stakeholders; builds consensus and drives alignment.

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Not Specified

Relocation Eligible:

No

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related