Analyste technique en données et diagnostics (Montreal)

Analyste technique en données et diagnostics (Montreal)

25 Oct
|
Otodata
|
Montreal

25 Oct

Otodata

Montreal

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JOB SUMMARY

The Technical Data & Diagnostics Analyst transforms data from millions of connected devices into actionable solutions for our customers and our support and installation teams.

As part of our analytics team, and working closely with the hardware, embedded software, software development, and technical support teams, the analyst develops algorithms capable of identifying field issues and recommending the appropriate corrective actions.

The analyst combines data with the expertise of colleagues to produce reliable diagnostics, then translates these algorithms into code within our diagnostic engine. The role also leverages artificial intelligence (AI) to accelerate analysis, development, and automation.

KEY RESPONSIBILITIES

Data Analysis & Diagnostics

- Analyze large volumes of data to identify anomalies, trends, and field issues.
- Develop, validate, and improve diagnostic algorithms and recommended corrective actions.
- Interpret data based on the hardware and software behaviour of our products.

Development & Integration

- Translate diagnostic algorithms into functional, maintainable code, primarily in C#, and integrate them into our diagnostic engine.
- Use SQL and automation tools to extract, transform, and validate data.
- Contribute to a modular, scalable, and centralized diagnostic architecture.
- Explore and leverage AI to accelerate data analysis, algorithm development, programming, and automation.
- Validate the accuracy, robustness, and relevance of AI-generated results.
- Collaborate with hardware, embedded software, software development, and technical support teams.




- Work with the technical support and installation teams to validate diagnostics and ensure recommendations are practical and actionable.
- Gradually take ownership of specific projects and areas of expertise, driving them forward independently while demonstrating initiative and leadership.

REQUIRED SKILLS & QUALIFICATIONS

Education / Experience / Certifications

- Education in Data Analytics, Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, or a related field.
- Experience extracting and analyzing data from databases, as well as developing algorithms.
- Experience with IoT, embedded systems, or cellular communications is considered a strong asset.

Technical Knowledge

- Strong proficiency in SQL and experience working with large datasets.
- Positive understanding of electronics and the ability to interpret data generated by technical products.
- Solid programming foundations and the ability to translate diagnostic algorithms into functional, maintainable code.
- Knowledge of C# is preferred, or the ability to learn it quickly. Python, VBA, or other relevant programming languages are considered assets.
- Experience with, or a strong interest in, using artificial intelligence for analysis, development, and automation.

Required Skills & Abilities

- Strong analytical, problem-solving, and troubleshooting skills.
- Methodical, structured, and rigorous approach with strong attention to detail.
- Ability to work independently and demonstrate initiative and leadership in assigned projects.
- Strong learning ability and willingness to quickly develop new technical skills.
- Strong communication and collaboration skills.
- Ability to manage multiple projects simultaneously and adapt to a fast-paced, rapidly evolving environment.

📌 Analyste technique en données et diagnostics (Montreal)
🏢 Otodata
📍 Montreal

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