Data Analyst (English version)
RemoteCanada
Job Summary
Extract, transform, and analyze fleet-scale manufacturing, testing, and deployment data using advanced SQL. Translate complex manufacturing and quality concepts into data-driven metrics, intelligent dashboards, and AI-enabled applications. Identify opportunities to automate manual workflows and develop AI-driven recommendation systems for anomaly detection and quality insights. Design interactive reports in Looker Studio, Tableau, or Power BI to visualize operational metrics and prepare executive-level summaries. Partner with engineers and product teams to embed AI capabilities into hardware NPI and manufacturing processes while providing technical guidance on data standards and warehousing solutions.
Required 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.
Desired Qualifications
- 5+ years of experience working with cloud data warehouses such as Google BigQuery or equivalent platforms.
- Familiarity with Google Cloud data products (Vertex AI, Colab, Cloud APIs).
- 5+ years of experience building interactive dashboards in Looker Studio, Tableau, Power BI, or similar tools.
- Practical experience with AI/ML models, Large Language Models (LLMs), and AI-enabled workflow automation.
- Domain experience in electronics manufacturing processes, quality engineering, test engineering, or reliability engineering.
- Exposure to data governance, data quality management, or master data management concepts.
- Familiarity with operational topics such as headcount planning, resource allocation, or vendor/contractor (TVC) tracking.
- Fluency in English, Mandarin or French is a plus.
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