Data Analyst

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

📋 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-centric solutions and KPIs.

• Conduct statistical analysis on manufacturing test data to guarantee data integrity, reliability, and readiness for automation and root-cause examination.

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

• Spot and implement opportunities for automating manual workflows through AI and advanced analytics.

• Create AI-powered 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 sustain interactive dashboards and reports using Looker Studio, Tableau, Power BI, or similar tools.

• Visualize manufacturing performance, data quality metrics, operational statistics, headcount information, and organizational expenditures.

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

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

⛳️ Requirements

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

• Advanced SQL proficiency with a robust understanding of data modeling and normalization best practices.

• Proficient 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 capabilities.

• Demonstrated experience in creating dashboards, reports, and structured datasets to facilitate business and engineering decisions.

• Exceptional verbal and written communication skills in English.

• Over 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).

• More than 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).

🏝️ Benefits

• Learn and grow through multiple cutting-edge projects.

• Flexible working hours and a remote work model.

• Competitive benefits package and total compensation.

• An additional day off for your birthday.

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

• Be part of a company that prioritizes ESG in its mission, focusing on people, planet, and performance.