Hardware Data Analyst

🕒 October 13

🇺🇸 United States – Remote

💵 $95k - $123k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📉 Data Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Aperia Technologies

WebsiteLinkedInAll Job Openings

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Founded 2010

🏭 Manufacturing

🚗 Transport

☁️ SaaS

💰 $36M Series C on 2019-05

Manufacturing • Transport • SaaS

Aperia Technologies is a leader in tire management solutions, offering the Halo Tire Management platform that extends tire life, improves fuel economy, and enhances safety across all wheel positions. With over 100 billion industry-proven miles, Aperia's Halo Connect system integrates automatic tire inflation with predictive tire pressure monitoring, utilizing machine learning to alert users about potential tire issues early on. This technology helps fleets maximize uptime, reduce fuel consumption, and improve overall safety. Aperia Technologies is committed to sustainability and provides innovative solutions for both entrepreneurs and Fortune 500 companies.

📋 Description

• Design and deliver dashboards, reports, and presentations using QuickSight, Tableau, or Python libraries • Monitor and analyze incoming sensor and analytics data to identify trends, anomalies, and potential field issues • Use statistical models and machine learning techniques to generate recommendations for hardware reliability and performance improvements • Compare outputs from firmware versions to validate improvements or detect regressions • Collaborate with hardware engineering, product management, data science, and customer support teams • Provide data-driven insights to support customer inquiries about product performance and anomalies • Propose tools, methods, and processes to improve data analysis capabilities and operational efficiency • Collaborate on data pipelines for reliable ingestion, processing, and storage of large-scale field data • Ensure teams have necessary data access and tools for informed decisions • Incorporate field data into future hardware and software features

🎯 Requirements

• Candidates must be authorized to work in the US on an ongoing basis without current or future employer sponsorship • Candidates currently on F-1, OPT, or STEM OPT status are not eligible • Bachelor’s degree in Data Science, Computer Science, or a related field • 2–4 years of experience in data analysis; exposure to hardware-related roles or IoT systems preferred • Proficiency in Python, SQL, MATLAB, or Excel for data 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 (S3, Redshift, Kinesis, IoT Core) or similar cloud platforms is a plus • Strong problem-solving and analytical skills • Ability to translate data findings into actionable insights • Excellent communication skills for presenting complex data clearly to technical and non-technical stakeholders

🏖️ Benefits

• Additional compensation may include equity • Additional compensation may include bonuses • Additional compensation may include stipends • Medical insurance • Dental insurance • Vision insurance • 401(k) • Long-term disability insurance

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