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.
- 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.
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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Data Analyst
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