Data Analyst (English version)

Company Description

As of January 2026, Averna and Spherea joined forces to form the Spherea Group.  A global Test & Quality Solution leader, Averna Powered by Spherea partners with product designers, developers and manufacturers to help them achieve higher product quality, accelerate time to market and protect their brands by covering and offering solutions and expertise for the entire product lifecycle.  

Averna Powered by Spherea offers specialized expertise and innovative test, vision inspection, precision assembly and automated solutions that deliver substantial technical, financial and market benefits for clients in the aerospace, automotive, consumer electronics, defense, energy, industrials, medical devices & life sciences, semiconductor, telecom and transportation industries.   

Their solutions include prototyping & consulting, precision assembly & production, automated test solutions, in-line test systems, test system replication, and test platforms & products. Averna Powered by Spherea’s expertise ranges from vision systems, specialized battery test, RF & microwave and fiber optics to robotics & motion, instrumentation, control systems, and data management. 

Job Description

Data Analyst 

Role Summary

As a Data Analyst, you will support business decision-making by gathering, organizing, and interpreting information to identify trends, opportunities, and areas for improvement. You will collaborate with stakeholders across the organization to develop reports, dashboards, and solutions that provide visibility into key business activities and performance.  

You will contribute to projects focused on process improvement, operational efficiency, and organizational effectiveness, helping teams leverage information and technology to achieve business goals and drive continuous improvement. 

Responsibilities  

• Identify and solve ambiguous problems, transforming data into clear, actionable insights that directly influence leadership decisions.  
• Build data pipelines, reports, best practices, and frameworks that enable analysts and other stakeholders across the organization.  
• Transform complex data formats into data‑driven metrics, intelligent dashboards, and AI‑enabled applications.  
• Modernize manual workflows into scalable, automated, and insight‑driven systems, leveraging statistical analysis, cloud data platforms, and AI technologies.

Qualifications

The ideal candidate in a few words:

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics, Engineering, a related technical field, or equivalent experience.  
• Advanced experience using analytics to solve engineering problems, performing statistical analysis, and coding (e.g. SQL, Python, R).  
• Proven experience creating dashboards, reports, and structured datasets to support business and engineering decisions.  
• Strong analytical, problem‑solving, and statistical analysis skills.  
• Excellent verbal and written communication skills in English, Mandarin or French is a plus.

Preferred Qualifications  

• Experience with GCP specific analytics tools and data management.  
• Experience designing data pipelines (ETL) and model data.  
• Practical experience with AI/ML models, Large Language Models (LLMs), and AI‑enabled workflow automation.  
• Strong experience managing stakeholder expectations and presenting solutions.  

Additional Information

What’s in It for You

• Learn and grow through multiple cutting-edge projects 
• Remote work model #LI-REMOTE
• Competitive benefits package and competitive total compensation
• An additional day off for your birthday
• Significant discount on your Montreal transit pass 
• Flex days paid between Christmas and New year's 
• Be part of a company that puts ESG at the heart of its mission, for people, planet, and performance. 

Averna is committed to employment equity and to encouraging diversity and inclusion. We are pleased to consider all qualified applicants for employment, regardless of race, color, religion, sexual orientation, gender, national origin, age, disability, veteran status, or any other legally protected status.