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Salary: USD 95,000 - 115,000 / annual
Aperia Technologies is developing innovative hardware and data analytics solutions for commercial vehicle fleets, including the award-winning Halo Automatic Tire Inflator and Halo Connect tire analytics platform. The company helps fleets reduce downtime, lower carbon footprint, and modernize the freight industry.
As a Hardware Data Analyst, you will work with vast amounts of data streaming from telematics and IoT devices deployed in the field. Your work directly impacts hardware systems' performance, reliability, and efficiency. You will collaborate with engineering, product management, data science, and customer support teams to process and analyze sensor data, uncover insights, identify issues, and drive continuous improvement.
Key responsibilities include:
- Design and deliver dashboards, reports, and presentations using tools like QuickSight, Tableau, or Python libraries to visualize performance metrics and communicate findings.
- Continuously monitor and analyze incoming sensor and analytics data to identify trends, anomalies, and potential issues.
- Use statistical models and machine learning techniques to extract insights and generate actionable recommendations for hardware reliability and performance improvements.
- Compare outputs from various firmware versions to validate improvements or detect regressions.
- Collaborate with hardware engineers, product managers, and data scientists to define and execute data analysis strategies.
- Support customer support teams by providing data-driven insights to address product performance inquiries.
- Proactively identify and propose new tools, methods, or processes to enhance data analysis capabilities.
- 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 within the organization, ensuring teams have necessary data access and tools.
- Collaborate with product development teams to ensure field data informs the design of future hardware and software features.
Requirements:
- Bachelor's degree in Data Science, Computer Science, or a 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 like 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 the ability to translate data findings into actionable insights.
- Excellent communication skills to present complex data in a clear, concise manner to technical and non-technical stakeholders.
