Hardware Data Analyst

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

Benefits offered by this job

Equity

Bonuses

Stipends

Medical insurance

Dental

Vision

401(k)

Long-term disability insurance

Job summary

Aperia Technologies, Inc in San Mateo, CA is seeking a data-focused analyst to turn streaming telemetry from IoT devices into actionable insights for engineering and product teams. This onsite role analyzes sensor data and builds dashboards using QuickSight, Tableau, and Python to visualize hardware performance.

You will collaborate with hardware engineers, data scientists, and customer-facing teams to improve reliability, efficiency, and product decisions based on data-driven findings and

Qualifications

• Bachelor’s degree in Data Science or CS.
• 2–4 years of data analysis experience.
• Proficiency in Python, SQL, MATLAB, or Excel.
• Experience with visualization tools: QuickSight, Tableau, Streamlit, Looker.
• Strong knowledge of statistics, machine learning, and time-series analysis.
• Experience with AWS (S3, Redshift, Kinesis, IoT Core) is a plus.
• Excellent communication for stakeholders.
• Strong problem-solving and analytical skills.

Responsibilities

• Design dashboards, reports, and presentations to visualize hardware performance metrics.
• Monitor sensor/analytics data to identify trends and anomalies.
• Apply statistical models and ML to generate actionable recommendations.
• Compare outputs across firmware versions to validate improvements.
• Partner with hardware, product, and data science teams to define data analysis strategies.
• Assist customer support with data-driven insights.
• Identify and propose new tools or methods to improve data analysis.
• Design and implement data pipelines for large-scale field data.
• Serve as a data advocate to ensure access to data and tools.
• Collaborate with product development to incorporate field data into features.

Skills

Strong problem-solving and analytical

Excellent communication skills

Education

Bachelor’s degree in Data Science or Computer Science

Tools

Python

SQL

MATLAB

Excel

QuickSight

Tableau

Streamlit

Looker

AWS

S3

Redshift

Kinesis

IoT Core

Job description

Aperia Technologies, Inc is building data-driven ways to improve hardware performance, reliability, and efficiency. In this onsite role in San Mateo, CA, you will analyze streaming telemetry from telematics and IoT devices and turn field signals into practical insights for engineering, product, and customer-facing teams.

Compensation: USD 110,000 - 123,000 per year. Base salary only; salary depends on multiple factors, including experience and location. Additional compensation may include equity, bonuses, stipends, medical, dental, vision, 401(k), and long-term disability insurance.

Responsibilities

• Design and deliver dashboards, reports, and presentations using tools such as QuickSight, Tableau, and/or Python libraries to visualize hardware performance metrics and communicate results.
• Continuously monitor incoming sensor and analytics data to identify trends, anomalies, and potential field issues.
• Apply statistical models and machine learning to generate insights and actionable recommendations for hardware reliability and performance improvements.
• Compare outputs across different firmware versions to validate improvements and detect unexpected regressions.
• Partner with hardware engineers, product managers, and data scientists to define and execute data analysis strategies.
• Assist customer support with data-driven insights to resolve product performance questions and anomaly-related inquiries.
• Identify and propose new tools, methods, or processes to strengthen data analysis and improve operational efficiency.
• Work with engineering and data science teams to design and implement data pipelines for reliable ingestion, processing, and storage of large-scale field data.
• Serve as a data advocate by ensuring teams have the data access and tools needed for informed decisions.
• Collaborate with product development teams to incorporate field data into future hardware and software feature design.

Requirements

• 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 analysis and modeling.
• Experience with visualization tools such as QuickSight, Tableau, Streamlit, or Looker.
• Strong understanding of statistical modeling, machine learning, and time-series data analysis.
• Experience with AWS (including S3, Redshift, Kinesis, IoT Core) or similar is a plus.
• Strong problem-solving and analytical skills, with the ability to translate findings into actionable insights.
• Excellent communication skills for presenting complex data to technical and non-technical stakeholders.

Technologies: Python, SQL, MATLAB, Excel, QuickSight, Tableau, Streamlit, Looker, AWS (S3, Redshift, Kinesis, IoT Core).