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Salary: USD 95,000 - 123,000 / annual
Aperia Technologies is seeking a Hardware Data Analyst to work with vast amounts of data streaming from telematics and IoT devices deployed across commercial vehicle fleets. In this role, you will harness sensor and analytics data to uncover insights, identify performance issues, and drive continuous improvement of hardware systems.
You will design and deliver dashboards, reports, and presentations using tools like QuickSight, Tableau, or Python libraries to visualize performance metrics and communicate findings to technical and non-technical stakeholders. You will continuously monitor incoming sensor data to identify trends, anomalies, and potential field issues, using statistical models and machine learning techniques to extract actionable insights for hardware reliability and performance improvements.
Key responsibilities include comparing outputs from various firmware versions to validate improvements or detect regressions, collaborating with hardware engineers, product managers, and data scientists to define data analysis strategies, and supporting customer support teams with data-driven insights. You will also collaborate with engineering and data science teams to design and implement data pipelines for reliable ingestion, processing, and storage of large-scale field data, act as a data advocate ensuring teams have necessary data access and tools, and work with product development to incorporate field data into future hardware and software features.
Requirements:
- Bachelor's degree in Data Science, Computer Science, or related field
- 2-4 years of experience in data analysis, with exposure to hardware-related roles or IoT systems preferred
- Proficiency in Python, SQL, MATLAB, or Excel for data analysis and modeling
- Demonstrated experience with visualization tools such as QuickSight, Tableau, Streamlit, or Looker
- Strong understanding of statistical modeling, machine learning, and time-series data analysis
- Experience with cloud platforms like AWS (S3, Redshift, Kinesis, IoT Core) or similar is a plus
- Strong problem-solving and analytical skills with ability to translate data findings into actionable insights
- Excellent communication skills to present complex data clearly to diverse audiences
- Must be authorized to work in the US on an ongoing basis without current or future employer sponsorship; H-1B and other employment-based visa sponsorship not available
