Data Analyst

Summary

Join Aperia, a company revolutionizing commercial vehicle fleet efficiency and sustainability through innovative hardware and data analytics, as a Data Analyst. You will analyze data from telematics and IoT devices, impacting hardware and software performance and customer experience. Collaborate with engineering, product management, data science, and customer support teams to uncover insights, identify issues, and drive continuous improvement. This remote role requires strong analytical and communication skills to present complex data to both technical and non-technical audiences. You will contribute to enhancing data analysis capabilities and incorporating field data into future product development. Aperia offers a competitive salary and benefits package.

Requirements

• Bachelor’s degree in Data Analytics, Computer Science, or a related field
• 1-3 years of experience in data analysis, with exposure to hardware-related roles or IoT systems preferred
• Proficiency in Python, SQL, and Excel/Google Sheets for data analysis and modeling
• Familiarity with visualization tools like Quicksight, Tableau, Power BI, or Looker
• Strong understanding of statistical modeling and time-series data analysis
• Strong problem-solving and analytical skills, with the ability to translate data findings into actionable insights
• Excellent communication skills to present complex data in a clear, concise manner to technical and non-technical stakeholders

Responsibilities

• Continuously monitor and analyze incoming sensor and analytics data to identify trends, anomalies, and potential issues in the field
• Utilize and maintain dashboards, reports, and presentations using tools like Quicksight, Tableau, or Python libraries to visualize performance metrics and communicate findings effectively
• Compare outputs from various firmware, software, and algorithm versions to validate improvements or detect unexpected regressions
• Collaborate with 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
• 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

Preferred Qualifications

Experience with cloud platforms like AWS (S3, Redshift, Kinesis, IoT Core) or similar is a plus

Benefits

• Medical
• Dental
• Vision
• 401(k)
• Long-term disability insurance
• Equity
• Bonuses
• Stipends