Description:

The IoT Data Analyst will analyze and interpret IoT data to provide key insights that drive decision-making and innovation.
This role involves collaborating with IoT developers, data scientists, and product teams to process and analyze data from connected devices.
The analyst will help unlock the potential of IoT data in various industries by identifying trends, detecting anomalies, and providing actionable insights.
Key responsibilities include processing large datasets from IoT devices, using statistical and machine learning techniques to identify patterns, and developing predictive models.
The analyst will create visualizations and dashboards to communicate insights effectively to stakeholders.
Continuous monitoring of IoT systems and ensuring data quality and integrity are also essential tasks.

Requirements:

Candidates must have strong experience in analyzing large datasets, particularly IoT data from sensors, devices, and networks.
A solid understanding of IoT architectures, devices, and data protocols is required.
Proficiency in data visualization tools such as Power BI or Tableau is necessary for creating insightful reports and dashboards.
Experience with programming languages like Python or R, and familiarity with data analysis libraries such as Pandas and NumPy is essential.
Strong communication skills are required to explain complex data concepts to both technical and non-technical stakeholders.
A Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Engineering, or a related field is required, with equivalent experience in data analysis being highly valued.
Candidates should have 3+ years of experience in data analysis, particularly with IoT data, and experience with machine learning models and cloud platforms is desirable.

The position offers comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
Employees receive competitive vacation, sick leave, and 20 paid holidays per year.
Flexible work schedules and telecommuting options promote work-life balance.
Opportunities for training, certification reimbursement, and career advancement programs are available for professional development.
Access to wellness programs, including gym memberships and mental health resources, is provided.
Life insurance and short-term/long-term disability coverage are included in the benefits package.
Employees can utilize a confidential Employee Assistance Program (EAP) for personal and professional challenges.
Financial assistance for continuing education and professional development is available through tuition reimbursement.
Opportunities to participate in community service and volunteer activities are encouraged.
Employee recognition programs celebrate achievements and milestones within the organization.