IoT Data Analyst

2 weeks ago


Austin, Texas, United States Unreal Gigs Full time
Unlock the Power of IoT Data

At Unreal Gigs, we're seeking a talented IoT Data Analyst to join our team and help us unlock the full potential of IoT data. As a key member of our data analytics team, you'll play a crucial role in analyzing and interpreting large datasets generated by IoT devices, sensors, and networks.

Key Responsibilities:

  1. Analyze IoT Data to Drive Business Insights:
  • Process and analyze large datasets to extract actionable insights, identifying trends, detecting anomalies, and providing key recommendations for business growth.
Collaborate with Cross-Functional Teams:
  • Work closely with IoT engineers, data scientists, and product managers to provide data-driven insights that inform product development, system improvements, and business strategies.
Develop Predictive Models and Algorithms:
  • Build and refine predictive models that anticipate system failures, optimize device performance, and enhance operational efficiency.
Ensure Data Quality and Integrity:
  • Work to ensure that IoT data is clean, accurate, and reliable, developing processes for data validation, cleansing, and anomaly detection.

Requirements:

  • Data Analytics Expertise: Strong experience in analyzing large datasets, particularly IoT data from sensors, devices, and networks.
  • IoT Knowledge: Understanding of IoT architectures, devices, and data protocols.
  • Data Visualization and Reporting: Proficiency in data visualization tools such as Power BI, Tableau, or similar platforms.
  • Programming and Data Analysis: Experience with programming languages such as Python or R, and familiarity with data analysis libraries like Pandas, NumPy, and scikit-learn.
  • Collaboration and Communication: Strong communication skills, with the ability to explain complex data concepts to both technical and non-technical stakeholders.

What We Offer:

  • Competitive Salary: A competitive salary and benefits package.
  • Opportunities for Growth: Opportunities for career advancement and professional development.
  • Collaborative Environment: A collaborative and dynamic work environment.


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