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Data Analyst (English version)
Averna
Montreal, CAN
Full Time
Mid
4 days ago
SQLPythonData AnalysisStatistical AnalysisLooker StudioTableau
Free
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SQLPythonData Analysis
About the Role
Averna is seeking a Data Analyst to generate insights from manufacturing, test, and deployment data. You will transform complex quality concepts into data-driven metrics and AI-enabled applications, leveraging SQL, Python, and cloud platforms.
Key Skills for This Role
SQLPythonData AnalysisStatistical AnalysisLooker StudioTableau
Responsibilities
- Extract, transform, and analyze fleet scale manufacturing, testing, deployment, and operational data using advanced SQL
- Translate manufacturing, quality, and reliability concepts into measurable, data driven solutions and KPIs
- Perform statistical analysis on manufacturing test data to ensure data integrity and reliability
- Identify and implement opportunities to automate manual workflows using AI and advanced analytics
- Develop AI driven recommendation systems for data standards, anomaly detection, and quality insights
- Design, develop, and maintain interactive dashboards and reports using Looker Studio, Tableau, Power BI, or equivalent
- Prepare executive level summaries and presentations distilling complex technical data into actionable insights
- Collaborate cross functionally with engineers, product owners, suppliers, and subject matter experts
Requirements
- Bachelor's degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics, Engineering, or related discipline
- Advanced proficiency in SQL with strong understanding of data modeling and normalization
- Proficiency in Python (or R) for data analysis, including PyData stack (NumPy, Pandas, Matplotlib, scikit learn)
- Strong analytical, problem solving, and statistical analysis skills
- Proven experience creating dashboards, reports, and structured datasets
- Excellent verbal and written communication skills in English
Full Job Posting
Role Summary
- This role sits at the intersection of data analytics, hardware manufacturing, quality & reliability engineering, and digital transformation.
- As an AI savvy Data Analyst, you will generate value driven insights from fleet scale manufacturing, test, and deployment data while supporting New Product Introduction (NPI) and Product Operations teams.
- You will transform complex manufacturing and quality concepts into data driven metrics, intelligent dashboards, and AI enabled applications.
Key Responsibilities
- Extract, transform, and analyze fleet scale manufacturing, testing, deployment, and operational data using advanced SQL (DML).
- Understand and translate manufacturing, quality, and reliability concepts into measurable, data driven solutions and KPIs.
- Perform statistical analysis on manufacturing test data to ensure data integrity, reliability, and readiness for automation and root cause analysis.
- Continuously provide feedback upstream to improve data quality, coverage, and performance.
- Identify and implement opportunities to automate manual workflows using AI and advanced analytics.
- Develop AI driven recommendation systems for data standards, anomaly detection, intelligent data mapping, and quality insights.
- Support the integration of AI and ML services (e.g., Vertex AI, LLMs) into analytics workflows and intelligent applications.
- Partner with engineers and product teams to embed AI capabilities into hardware NPI and manufacturing processes.
- Design, develop, and maintain interactive dashboards and reports using Looker Studio, Tableau, Power BI, or equivalent tools.
- Visualize manufacturing performance, data quality scores, operational metrics, headcount status, and organizational spending.
- Prepare executive level summaries and presentations that distill complex technical data into clear, actionable insights.
- Provide leadership with real time, decision ready visibility into manufacturing and operational health.
Qualifications
- Bachelor's degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics, Engineering, or a related discipline.
- Advanced proficiency in SQL with strong understanding of data modeling and normalization best practices.
- Proficiency in Python (or R) for data analysis, including experience with the PyData stack (NumPy, Pandas, Matplotlib, scikit learn).
- Strong analytical, problem solving, and statistical analysis skills.
- Proven experience creating dashboards, reports, and structured datasets to support business and engineering decisions.
- Excellent verbal and written communication skills in English.
What’s in It for You
- Learn and grow through multiple cutting edge projects
- Remote work model
- 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
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