IoT Hardware Data Analyst — Analytics & ML

Hardware FYI; Detroit (MI); Hybrid; USD 95,000 - 115,000; Full time

Benefits offered by this job

Equity

Bonuses

Medical, Dental, Vision

401(k)

Job summary

Aperia is seeking a Hardware Data Analyst to unlock insights from telematics and IoT sensor data across our fleet deployments. You will build dashboards, monitor streams, and apply ML to improve hardware performance and reliability.

Collaborating with engineering, product, and data science, you will drive data-driven decisions, influence design, and support customer-facing analytics. This role is based in Detroit, with competitive pay and benefits.

Qualifications

• Bachelor's degree in data science, CS, or related field.
• 2–4 years in data analysis, with exposure to hardware or IoT 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).
• Strong problem-solving and analytical skills with the ability to translate findings into actions.
• Excellent communication to present data to technical and non-technical stakeholders.

Responsibilities

• Design dashboards and reports using QuickSight, Tableau, or Python libraries to visualize performance metrics.
• Monitor sensor and analytics data to identify trends and issues in the field.
• Use statistical models and machine learning techniques to improve hardware reliability and performance.
• Compare outputs from firmware versions to validate improvements or detect regressions.
• Collaborate with hardware, product, and data science teams to define data analysis strategies.
• Provide data-driven insights to support customer support inquiries.
• Proactively identify new tools or processes to enhance data analysis and efficiency.
• Design and implement data pipelines for reliable ingestion, processing, and storage of field data.
• Act as a data advocate to ensure teams have access to necessary data and tools.
• Work with product teams to incorporate field data into future hardware/software features.

Skills

Data analysis

IoT exposure

Communication

Problem solving

Education

Bachelor's degree in Data Science/CS

Tools

Python

SQL

MATLAB

Excel

QuickSight

Tableau

Streamlit

Looker

AWS

Job description

Aperia is seeking a Hardware Data Analyst to unlock insights from telematics and IoT sensor data across our fleet deployments. You will build dashboards, monitor streams, and apply ML to improve hardware performance and reliability.

Collaborating with engineering, product, and data science, you will drive data-driven decisions, influence design, and support customer-facing analytics. This role is based in Detroit, with competitive pay and benefits.