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Job Requirements of Data Analyst 1:
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Employment Type:
Contractor
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Location:
Fairport, NY (Onsite)
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Data Analyst 1
Position: Contract Data Analyst / Data Engineer
Location: 100% Onsite – Fairport, NY
Schedule: Full-time, Monday – Friday, 8:00 AM – 5:00 PM (Overtime not anticipated)
Duration: 6-month assignment (possibility of extension based on demand)
Interview Process: One Round Onsite Panel Interview
Pay: $23.40 hourly
Role Overview
We are seeking a contract engineer or data analyst to lead the implementation of a coating thin film data analysis solution. This system automates coating run data review and disposition decisions, reducing manual engineering effort. The selected candidate will handle the day-to-day technical execution of the project, with initial training and transition support provided by a subject matter expert.
Key Responsibilities
Process Deployment
- Execute assigned implementation tasks and monitor progress aProductst project timelines.
- Collaborate with software engineering to troubleshoot and refine custom software.
- Provide regular status updates to project stakeholders.
Data Analysis
- Review and analyze historical thin film coating data.
- Develop statistical limits (training available).
- 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 verify results.
Required Education
- Preferred: Bachelor’s Degree in Data Science, Engineering, Mathematics, or related technical field
- Minimum: Associate’s Degree in Data Science, Engineering, Mathematics, or related technical field
Required Skills / Experience
- 1–3 years of experience in data management or analysis.
- Strong proficiency in data management and analysis.
- Advanced Microsoft Excel skills (formulas, templates, macros, VBA).
- Experience working with structured data and following defined processes.
- Basic SQL query knowledge or willingness to learn (training available).
- Ability to work independently and complete tasks with minimal supervision.