Data Analyst

This is a fully remote position, open to applicants in Canada.

📋 Description

• Extract, transform, and analyze large-scale manufacturing, testing, deployment, and operational data utilizing advanced SQL (DML).

• Comprehend and convert manufacturing, quality, and reliability concepts into quantifiable, data-driven solutions and KPIs.

• Conduct statistical analysis on manufacturing test data to ensure data integrity, reliability, and preparedness for automation and root-cause analysis.

• Continuously provide upstream feedback to enhance data quality, coverage, and performance.

• Recognize and implement opportunities to automate manual workflows through AI and advanced analytics.

• Create AI-driven recommendation systems for data standards, anomaly detection, intelligent data mapping, and quality insights.

• Assist in the integration of AI and ML services (e.g., Vertex AI, LLMs) into analytics workflows and intelligent applications.

• Collaborate with engineers and product teams to incorporate AI capabilities into hardware NPI and manufacturing processes.

• Design, develop, and maintain interactive dashboards and reports using Looker Studio, Tableau, Power BI, or similar tools.

• Visualize manufacturing performance, data quality scores, operational metrics, headcount status, and organizational spending.

• Prepare executive-level summaries and presentations that simplify complex technical data into clear, actionable insights.

• Provide leadership with real-time, decision-ready visibility into manufacturing and operational health.

• Professionally interact with engineers, product owners, suppliers, and subject-matter experts across manufacturing, quality, IT, and operations.

• Offer technical guidance to suppliers and engineering teams on optimal data collection, standards, and data warehousing solutions.

• Support multiple parallel initiatives by monitoring progress, identifying risks, and escalating delivery impediments as necessary.

• Facilitate change management through documentation, communication plans, and process training.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics, Engineering, or a related field.

• Advanced proficiency in SQL with a 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 abilities.

• Proven experience in creating dashboards, reports, and structured datasets to support business and engineering decisions.

• Excellent verbal and written communication skills in English.

• 5+ years of experience working with cloud data warehouses such as Google BigQuery or equivalent platforms (preferred).

• Familiarity with Google Cloud data products (Vertex AI, Colab, Cloud APIs) (preferred).

• 5+ years of experience building interactive dashboards in Looker Studio, Tableau, Power BI, or similar tools (preferred).

• Practical experience with AI/ML models, Large Language Models (LLMs), and AI-enabled workflow automation (preferred).

• Domain experience in electronics manufacturing processes, quality engineering, test engineering, or reliability engineering (preferred).

• Exposure to data governance, data quality management, or master data management concepts (preferred).

• Familiarity with operational topics such as headcount planning, resource allocation, or vendor/contractor (TVC) tracking (preferred).

• Fluency in English; Mandarin or French is a plus (preferred).

🏝️ Benefits

• Learn and grow through multiple cutting-edge projects.

• Remote work model #LI-REMOTE.

• Competitive benefits package and total compensation.

• An additional day off for your birthday.

• Significant discount on your Montreal transit pass.

• Paid flex days between Christmas and New Year's.

• Become part of a company that places ESG at the core of its mission, focusing on people, planet, and performance.