Hardware Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and present dashboards, reports, and presentations utilizing QuickSight, Tableau, or Python libraries.

• Track and evaluate incoming sensor and analytics data to uncover trends, anomalies, and possible field issues.

• Apply statistical models and machine learning methods to provide recommendations for enhancing hardware reliability and performance.

• Assess outputs from various firmware versions to confirm improvements or identify regressions.

• Work in collaboration with hardware engineering, product management, data science, and customer support teams.

• Deliver data-driven insights to assist customers with inquiries regarding product performance and anomalies.

• Suggest tools, methods, and processes to enhance data analysis capabilities and operational efficiency.

• Participate in the development of data pipelines for the reliable ingestion, processing, and storage of extensive field data.

• Ensure that teams have the required data access and tools to make informed decisions.

• Integrate field data into upcoming hardware and software features.

⛳️ Requirements

• Candidates must be authorized to work in the US on a continuous basis without current or future employer sponsorship.

• Candidates currently on F-1, OPT, or STEM OPT status are ineligible.

• Bachelor’s degree in Data Science, Computer Science, or a related field is required.

• 2–4 years of data analysis experience; familiarity with hardware-related roles or IoT systems is preferred.

• Proficient in Python, SQL, MATLAB, or Excel for data analysis and modeling.

• Experience with visualization tools such as QuickSight, Tableau, Streamlit, or Looker.

• Strong grasp of statistical modeling, machine learning, and time-series data analysis.

• Experience with AWS (S3, Redshift, Kinesis, IoT Core) or similar cloud platforms is advantageous.

• Excellent problem-solving and analytical abilities.

• Capability to translate data findings into actionable insights.

• Outstanding communication skills for effectively presenting complex data to both 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.