Aperia Technologies

Data Analyst

• Design and deliver dashboards, reports, and presentations using QuickSight, Tableau, or Python libraries
• Monitor and analyze incoming sensor and analytics data to identify trends, anomalies, and potential field issues
• Use statistical models and machine learning techniques to generate recommendations for hardware reliability and performance improvements
• Compare outputs from firmware versions to validate improvements or detect regressions
• Collaborate with hardware engineering, product management, data science, and customer support teams
• Provide data-driven insights to support customer inquiries about product performance and anomalies
• Propose tools, methods, and processes to improve data analysis capabilities and operational efficiency
• Collaborate on data pipelines for reliable ingestion, processing, and storage of large-scale field data
• Ensure teams have necessary data access and tools for informed decisions
• Incorporate field data into future hardware and software features

Explore Hardware Data Analyst at Aperia Technologies. Review requirements and application details.