Posted on 7/8/2025
Entry Level - Data Analyst (Remote)
Jobright.ai
美國 Illinois, 史普林菲爾德
Qualifications
- 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
Responsibilities
- 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
- 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
Full Description
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.
Find AI, ML, Data Science Jobs By Location
Find Jobs By Position
Subscribe to the AI Search Newsletter
Get top updates in AI to your inbox every weekend. It's free!