IoT Hardware Data Analyst—Sustainability & Reliability

aperiatechnologies; United States; Remote; USD 95,000 - 123,000; Full time

Benefits offered by this job

Equity

Bonuses

Stipends

Medical insurance

Dental insurance

Vision insurance

401(k)

Long-term disability

Job summary

Aperia Technologies is seeking a Hardware Data Analyst to process and analyze sensor data from telematics and IoT devices. You will help improve hardware performance, reliability, and efficiency by delivering data-driven insights and dashboards.

You will collaborate with engineering, product, and data science teams to drive continuous improvement. You will design dashboards, monitor field data for trends, and leverage ML to extract actionable recommendations, including data pipelines and tool

Qualifications

• Bachelor's degree in Data Science, Computer Science, or related field.
• 2–4 years of data analysis experience, preferably with hardware or IoT exposure.
• Proficiency in Python, SQL, MATLAB, or Excel for analysis and modelling.
• Visualization tools: QuickSight, Tableau, Streamlit, Looker.
• Strong grasp of statistical modelling, ML, and time-series data analysis.
• Experience with cloud platforms like AWS (S3, Redshift, Kinesis, IoT Core).
• Excellent communication to translate data into actionable insights.

Responsibilities

• Design and deliver dashboards, reports, and presentations using QuickSight, Tableau, or Python libraries to visualize performance metrics.
• Monitor and analyze incoming sensor data to identify trends, anomalies, and issues in the field.
• Use statistical models and ML techniques to extract insights and recommend improvements.
• Compare outputs from firmware versions to validate improvements or detect regressions.
• Collaborate with hardware engineers, product managers, and data scientists to define data strategies.
• Support customer support with data-driven insights for performance and anomaly inquiries.
• Proactively identify and propose new tools, methods, or processes to enhance data analysis.
• Collaborate on data pipelines for reliable ingestion, processing, and storage of large-scale field data.
• Act as a data advocate to ensure teams have data access and tools.
• Work with product teams to incorporate field data into future hardware/software features.

Skills

Python

SQL

MATLAB

Excel

Visualization

Time-series

Communication

Education

Bachelor's degree in Data Science/CS

Tools

AWS

Tableau

Quicksight

Looker

Streamlit

Job description

Aperia Technologies is seeking a Hardware Data Analyst to process and analyze sensor data from telematics and IoT devices. You will help improve hardware performance, reliability, and efficiency by delivering data-driven insights and dashboards.

You will collaborate with engineering, product, and data science teams to drive continuous improvement. You will design dashboards, monitor field data for trends, and leverage ML to extract actionable recommendations, including data pipelines and tool