Data Analyst

Our client is seeking a contract engineer or data analyst to complete the implementation of the coating thin film data analysis solution. The system automates coating run data review and disposition decisions, reducing manual engineering effort. This position will take over day-to-day technical execution of the project. A current subject matter expert will provide training and transition support. DOD/ITAR Compliant Required - This is an ITAR facility. DOD compliance requires US Citizens for this role. Location: 100% Onsite - Fairport, NY Schedule: Full-time, M-F, 8am - 5pm. OT not anticipated. Interview Process: One Round Onsite Panel Interview Duration: 6 months anticipated assignment with possibility of extension based on demand Key Responsibilities Process Deployment • Execute assigned implementation tasks and track progress against project timelines. • Work with software engineering to troubleshoot custom software. • Provide regular status updates to project stakeholders. Data Analysis • Review and analyze historical thin film coating data. • Develop statistical limits (training can be provided). • Review and update measurement methods to ensure future data meets defined requirements. Data Migration & Validation • Migrate coating recipe files from legacy Excel formats into a standardized template. • Upload migrated data into a SQL database. • Validate data migration using Excel-based tools and macros. • Generate test data and validate results. Job Requirements: Required Education • Bachelor's degree in data science, Engineering, Mathematics, or related technical field (preferred) • Associate's degree in data science, Engineering, Mathematics, or related technical field (minimum required) Required Skills/Experience • 1-3 years' experience in data management/analysis. • Strong data management and analysis experience. • High proficiency in Microsoft Excel (formulas, templates, macros, VBA). • Ability to work with structured data and follow defined processes. • Basic SQL query experience or willingness to learn (coaching can be provided). • Ability to work independently and complete tasks with minimal supervision. Desired Experience • Manufacturing or process engineering environment. • Prior data migration or database population work. • Experience supporting Data Transformation project (ex. experience taking scattered data to structured data & validate end result).