IoT Data Analytics Specialist

Jump! Recruteurs; Montreal; On-site; CAD 60,000 - 100,000; Full time

Job summary

An established industry player in the Internet of Things (IoT) sector is seeking an IoT Data Analytics Specialist to join their Montreal team. This role involves analyzing data from millions of devices, refining diagnostic algorithms, and collaborating with diverse teams to enhance service quality and connectivity. You will leverage your expertise in programming and data analytics to drive improvements and deliver actionable insights. If you're passionate about data and eager to contribute to innovative solutions, this opportunity is perfect for you.

Qualifications

• Proficiency in programming languages and experience with large datasets.
• Ability to improve and optimize algorithms and work with data visualization tools.

Responsibilities

• Analyze data from IoT devices to ensure quality and service standards.
• Collaborate with cross-functional teams to develop solutions and improve performance.

Skills

Python

SQL

C#

VBA

Data Visualization

AI and Machine Learning

Data Analysis

Tools

Cloud-based AI

Automation Tools

Job description

Our client, a key player in the Internet of Things (IoT) sector in Quebec, is currently seeking an IoT Data Analytics Specialist for its Montreal office.

The ideal candidate will use their expertise to analyze data from over 3 million IoT devices, refine diagnostic algorithms, and proactively resolve issues to ensure exceptional quality and service standards. By collaborating with cross-functional teams, including Product, Sales, Quality Assurance, Production, and Hardware/Embedded Software, you will contribute to the development of cutting-edge solutions that improve performance, strengthen connectivity, and deliver actionable insights.

Main Responsibilities:

• Prioritize business outcomes for improvement through advanced analytics.
• Analyze data from over 3 million devices to ensure high quality and service standards.
• Improve and optimize existing algorithms to optimize performance, resolve issues, and identify trends.
• Identify and deploy appropriate analytical approaches and tools, including cloud-based AI.
• Continuously refine device diagnostics to improve accuracy and efficiency.
• Generate comprehensive reports and visualizations to effectively communicate findings and recommendations.
• Work closely with technical support teams to deploy tools and provide training.
• Collaborate with the hardware and embedded software departments to align on diagnostics and improvements.
• Use AI and machine learning tools to detect issues in the field.
• Collaborate with the Quality Assurance team to develop and implement data-driven strategies.

Required Knowledge:

• Proficiency in programming languages such as Python, SQL, C#, VBA, or other relevant languages.
• Understanding of electronic products, including hardware and embedded software.
• A methodical, structured, and organized approach to tasks.
• High level of autonomy, initiative, and sense of responsibility. Ability to work effectively independently and as part of a team.
• Experience working with large datasets and data visualization tools.
• Experience with databases and automation tools for data analysis.
• Demonstrated ability to improve and optimize existing algorithms.
• Proficiency in AI and machine learning tools and techniques.

Location:

Montreal