IoT Hardware Data Analyst — Optimize Fleet Reliability

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

Benefits offered by this job

Equity

Bonuses

Medical insurance

Dental

Vision

401(k)

Job summary

Aperia Technologies is seeking a Hardware Data Analyst to harness data from telematics and IoT devices, impacting hardware performance and reliability.

You will collaborate with engineering, product, data science, and support teams to analyze sensor data, build dashboards, and drive continuous improvements. This role requires 2–4 years of data analysis experience, proficiency in Python and SQL, and the ability to present insights to technical and non-technical stakeholders.

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 clearly to stakeholders.

Responsibilities

• Design and deliver dashboards, reports, and presentations using 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

Python

SQL

MATLAB

Excel

Tableau

Quicksight

Streamlit

Looker

Statistical modelling

Time-series analysis

IoT

AWS

Education

Bachelor’s degree in Data Science

Bachelor’s degree in Computer Science

Tools

AWS

Job description

Aperia Technologies is seeking a Hardware Data Analyst to harness data from telematics and IoT devices, impacting hardware performance and reliability.

You will collaborate with engineering, product, data science, and support teams to analyze sensor data, build dashboards, and drive continuous improvements. This role requires 2–4 years of data analysis experience, proficiency in Python and SQL, and the ability to present insights to technical and non-technical stakeholders.