Entry Level - Data Analyst (Remote)
Aperia Technologies provides automatic tire inflation devices that help improve the safety and efficiency of commercial vehicles. As a Data Analyst, you will analyze data from telematics and IoT devices to enhance product performance and customer experience, collaborating with various teams to drive continuous improvement.
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.
Qualification
Required
• Bachelor’s degree in Data Analytics, Computer Science, or a related field.
• 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.
Preferred
• 1-3 years of experience in data analysis, with exposure to hardware-related roles or IoT systems preferred.
• Experience with cloud platforms like AWS (S3, Redshift, Kinesis, IoT Core) or similar is a plus.
Apply Now
Apply Now
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.
Qualification
Required
• Bachelor’s degree in Data Analytics, Computer Science, or a related field.
• 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.
Preferred
• 1-3 years of experience in data analysis, with exposure to hardware-related roles or IoT systems preferred.
• Experience with cloud platforms like AWS (S3, Redshift, Kinesis, IoT Core) or similar is a plus.
Apply Now
Apply Now