Hardware Data Analyst: IoT & Fleet Analytics

Aperia Technologies Inc.; San Mateo (CA); On-site; USD 110,000 - 123,000; Full time

Benefits offered by this job

Equity

Bonuses

401(k)

Job summary

Aperia Technologies Inc. is hiring a Hardware Data Analyst to harness sensor data from our telematics IoT devices and influence hardware performance and reliability.

You will create dashboards and analyses that drive improvements and inform engineering decisions, collaborating with cross-functional teams to turn data into action. The role emphasizes statistical modeling, ML, and time-series analysis with tools like QuickSight/Tableau.

Qualifications

• Bachelor's degree in data-related field or equivalent.
• 2–4 years of data analysis experience, preferably with hardware or IoT exposure.
• Proficiency in Python, SQL, MATLAB or Excel for analysis and modeling.
• Experience with data visualization tools (Quicksight/Tableau/Streamlit/Looker).
• Strong statistical, ML, and time-series analysis skills with problem solving.

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

Statistical modeling

Machine learning

Time-series analysis

Communication

Education

Bachelor's degree in Data Science, Computer Science, or related field

Tools

AWS

Quicksight

Tableau

Streamlit

Looker

Job description

Aperia Technologies Inc. is hiring a Hardware Data Analyst to harness sensor data from our telematics IoT devices and influence hardware performance and reliability.

You will create dashboards and analyses that drive improvements and inform engineering decisions, collaborating with cross-functional teams to turn data into action. The role emphasizes statistical modeling, ML, and time-series analysis with tools like QuickSight/Tableau.