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

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
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

Product Data Analyst

Key skills