Data Analyst

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.
• Aid 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.