Hardware Data Analyst

Aperia Technologies, Inc; Detroit (MI); On-site; USD 95,000 - 115,000; Full time

Job summary

Aperia Technologies, Inc is seeking a Hardware Data Analyst to analyze sensor data from telematics and IoT devices to improve hardware performance and reliability. You will work with engineering, product management, data science, and customer support to transform raw data into actionable insights.

Responsibilities include building dashboards, monitoring data streams, and applying ML models to drive continuous product improvements and field insights. Strong communication is essential.

Qualifications

• Bachelor's degree in Data Science, Computer Science, or a related field.
• 2-4 years of data analysis experience; hardware or IoT exposure preferred.
• Proficiency in Python, SQL, MATLAB, or Excel for analysis.
• Experience with visualization tools: QuickSight, Tableau, Streamlit, Looker.
• Strong stats, ML, and time-series data skills.
• Experience with AWS or similar cloud services (S3, Redshift, Kinesis, IoT Core).
• Strong problem-solving and communication to translate data into insights.

Responsibilities

• Design and deliver dashboards, reports, and presentations using QuickSight, Tableau, or Python visualizations.
• Monitor sensor and analytics data for trends, anomalies, and issues.
• Apply statistical models and ML to improve hardware reliability and performance.
• Compare outputs across firmware versions to spot regressions or improvements.
• Collaborate with hardware engineers, product managers, and data scientists on data strategies.
• Provide data-driven insights to customer support for product performance questions.
• Proactively propose new tools or methods to enhance data analysis and efficiency.
• Collaborate on data pipelines for reliable ingestion, processing, and storage of field data.
• Advocate for data access and tooling across teams to enable informed decisions.
• Incorporate field data into future hardware/software feature design.

Skills

Python

SQL

MATLAB

Excel

Education

Bachelor's degree in Data Science or Computer Science

Tools

Quicksight

Tableau

Streamlit

Looker

Job description

Aperia is unlocking a new era of efficiency and sustainability for commercial vehicle fleets, by developing innovative hardware and data analytics solutions. Inventors of the award- winning and disruptive Halo tm Automatic Tire Inflator, and the cloud delivered Halo Connect tire analytics platform. Aperia saves fleets thousands of hours of down-time every week, reduces the carbon footprint and environmental impact of the freight industry. Join us as we expand our product offering and take the next steps on our journey toward bringing the "backbone of our economy" into the automation age.

We are unable to sponsor H-1B visas or other employment-based visas for this position at this time.

Your Role

As a Hardware Data Analyst, you will harness vast amounts of data streaming from our extensive deployment of telematics and IoT devices in the field. Your work will directly impact our hardware systems' performance, reliability, and efficiency, helping deliver exceptional customer experiences. Collaborating with engineering, product management, data science, and customer support teams, you will process and analyze sensor and analytics data to uncover insights, identify issues, and drive continuous improvement.

Your Responsibilities

• Design and deliver dashboards, reports, and presentations using tools like QuickSight, Tableau, or Python libraries to visualize performance metrics and communicate findings effectively.
• Continuously monitor and analyze incoming sensor and analytics data to identify trends, anomalies, and potential issues in the field.
• 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 unexpected 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 and anomaly-related inquiries.
• Proactively identify and propose new tools, methods, or processes to enhance data analysis capabilities and improve operational efficiency.
• Collaborate with the engineering and data science teams to design and implement data pipelines that ensure reliable ingestion, processing, and storage of large-scale field data.
• Act as a data advocate within the organization, ensuring teams have the necessary data access and tools to make informed decisions.
• Collaborate with product development teams to ensure field data is incorporated into the design of future hardware and software features.

Skills/Qualifications

• 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.

Pay Range

Pay Range: $95,000 - $115,000

*Base salary only. Salary is dependent on multiple factors including, but not limited to, experience and location.

**Additional compensation may include equity, bonuses, stipends, medical, dental, vision, 401(k), and long-term disability insurance.

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