Hardware Data Analyst: IoT Diagnostics & Reliability

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 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.