Data Analyst

Due to federal regulations and/or export control requirements, this position requires applicants to qualify as a U.S. Person as defined by applicable U.S. law. Our client, a technology and industrial materials science leader, is looking for a Data Analyst for their Corning, NY location. Responsibilities: Support the design and implementation of data capture processes to ensure timely, accurate, and consistent collection of program data. Monitor, validate, and improve data quality by identifying discrepancies, resolving data issues, and establishing data governance best practices. Develop, maintain, and enhance dashboards, reports, and performance metrics to provide visibility into program progress, milestones, and outcomes. Collaborate with program stakeholders to understand business requirements and translate them into meaningful analytical solutions and visualizations. Assist data analysis to identify trends, opportunities, risks, and actionable insights that support innovation program objectives. Establish and maintain documentation for data definitions, reporting methodologies, and data management processes. Support continuous improvement initiatives by recommending enhancements to data collection, reporting, and analytics capabilities. Work closely with technical and business teams to ensure data accessibility, integrity, and alignment with program goals. Requirements: Minimum associate’s degree; bachelor's degree preferred in Data Analytics, Statistics, Computer Science, Engineering, Business Analytics, or a related field. 1 to 5 years of experience with data analysis, data quality management, and dashboard development. Proficiency in tools such as Power BI, Tableau, JMP/Python, Excel, or similar analytics platforms. Strong attention to detail and ability to work with complex datasets. Excellent communication skills with the ability to present findings to both technical and non-technical stakeholders. Preferred Qualifications: Experience supporting R&D, innovation, product development, or technology programs. Knowledge of data governance, KPI development, and performance reporting frameworks. Experience working in cross-functional environments involving engineering, business, and program management teams. Why Should You Apply? Health Benefits Referral Program Excellent growth and advancement opportunities

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