Product Data 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 Location: Bangalore,IND, Chennai,IND 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 . Job Summary Applied Materials is seeking a skilled Data Analyst to support the AGS Service business units. This role is integral to driving data-driven decision-making, financial modeling, and operational efficiency across our service portfolio. The successful candidate will leverage advanced software tools and deep knowledge of Applied Materials data structures to deliver actionable insights for SBU and Marketing teams. Key Responsibilities Perform comprehensive financial analysis to support service should cost models and CoO (Cost of Ownership) modeling for SBU/Marketing teams. Compare should cost versus actuals, identify variances, and present findings to management. Manage portfolio programs, including ROI calculations and ongoing performance tracking. Automate recurring reports, such as spend management, using relevant data visualization and extraction tools. Document use cases, workflows, and methodologies for data analysis to ensure transparency and reproducibility. Collaborate with cross-functional teams to extract, map, and interpret company-specific data, including tools, tool counts, tool types, regions, and accounts. Utilize Jira for project management and workflow tracking related to data initiatives. Required Skills and Knowledge Proficiency in Tableau and PowerBI for data visualization and report automation. Strong expertise in SQL for querying and managing databases. Experience with Databricks for advanced analytics and large-scale data processing. Working knowledge of Jira for project management and workflow documentation. Familiarity with Applied Materials data mapping, including tools, tool counts, tool types, regions, and accounts. Ability to interpret and analyze complex datasets for financial modeling and operational analysis. Qualifications Bachelor’s degree in Data Science, Computer Science, Finance, Engineering, or a related field. 7+ years of experience in data analysis, preferably within a high-tech or manufacturing environment. Demonstrated experience supporting business units with analytical solutions. Preferred Attributes Strong attention to detail and organizational skills. Excellent communication skills for presenting complex findings to stakeholders. Ability to work independently and collaboratively in a fast-paced environment. Experience with financial modeling and service cost analysis. Proactive approach to process improvement and automation. Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: No Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.