Data Analyst

• Participate in planning and implementation of advanced validation Processes
• Define and implement end-to-end validation tools and methods with advanced geometric calculations, logics, and heuristic
• Integrating new features into existing Validation Processes
• Improving sensitivity, efficiency, effectiveness, and quality of validation processes
• Management and prioritization of daily tasks
• Integration of tools and algorithms from different departments in the company and applying them into our validation infrastructure

• Analyze large-scale sensor, production, and system data to identify patterns, trends, and anomalies
• Define, track, and interpret KPIs related to system performance, model behavior, and business outcomes
• Support model development by exploring data, validating assumptions, and generating insights
• Build dashboards and reports to monitor real-time system behavior and long-term trends
• Investigate issues in production systems and perform root cause analysis
• Work closely with data scientists, engineers, and product stakeholders to translate data into decisions
• Ensure data quality, consistency, and reliability across different sources
• Communicate findings clearly to both technical and non-technical audiences

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Data Analyst

Data Analyst