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AvernaPosted 1 month ago

Data Analyst

RemoteMexico

Full TimeMedium

Job Summary

Extract, transform, and analyze fleet-scale manufacturing, testing, and deployment data using advanced SQL to ensure data integrity for root-cause analysis. Translate complex quality and reliability concepts into measurable KPIs, intelligent dashboards, and AI-enabled applications while modernizing manual workflows into scalable systems. Design interactive reports in Looker Studio, Tableau, or Power BI to visualize operational metrics and prepare executive summaries that distill technical data into actionable insights. Partner with engineers and product teams to embed AI capabilities into hardware NPI processes and provide 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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