AI Savvy Data Analyst

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Savvy Data Analyst in Mexico.

This role offers a unique opportunity to work at the crossroads of data analytics, artificial intelligence, manufacturing operations, and digital transformation. You will leverage large-scale manufacturing, testing, and operational datasets to generate actionable insights that drive product quality, reliability, and business performance. Working in a highly collaborative and technology-driven environment, you will help modernize processes through automation, advanced analytics, and AI-powered solutions. The position combines hands-on data analysis with strategic problem-solving, enabling you to influence both engineering and operational decision-making. You will collaborate with cross-functional teams across manufacturing, quality, product, and IT functions while supporting innovative initiatives that improve efficiency and scalability. This is an ideal role for a data professional who is passionate about AI, analytics, and transforming complex data into meaningful business value.

• Extract, transform, and analyze large-scale manufacturing, testing, deployment, and operational datasets using advanced SQL and analytical techniques.
• Translate manufacturing, quality, and reliability concepts into measurable KPIs, reporting frameworks, and data-driven solutions.
• Conduct statistical analysis to identify trends, anomalies, root causes, and opportunities for process improvement and automation.
• Design and implement AI-driven solutions for workflow automation, anomaly detection, intelligent data mapping, and operational insights.
• Support the integration of AI and machine learning technologies into manufacturing and product operations processes.
• Develop, maintain, and optimize dashboards, reports, and visualizations using tools such as Power BI, Tableau, Looker Studio, or equivalent platforms.
• Prepare executive-level presentations and summaries that communicate complex technical findings in a clear and actionable manner.
• Collaborate with engineers, product teams, suppliers, and operational stakeholders to improve data quality, governance, and reporting capabilities.
• Support multiple projects simultaneously by tracking progress, identifying risks, and contributing to successful project delivery and change management initiatives.

Requirements:

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Advanced SQL expertise with strong knowledge of data modeling, database structures, and normalization principles.
• Proficiency in Python or R for data analysis, statistical modeling, and data manipulation using modern analytics libraries.
• Strong analytical, statistical, and problem-solving skills with the ability to derive insights from complex datasets.
• Experience building dashboards, reports, and data visualization solutions that support operational and business decisions.
• Excellent written and verbal communication skills in English, with the ability to present findings to both technical and non-technical audiences.
• Experience with cloud-based data platforms such as BigQuery or equivalent data warehouse technologies is highly desirable.
• Familiarity with AI/ML technologies, Large Language Models (LLMs), workflow automation, and AI-enabled analytics solutions.
• Experience in manufacturing, quality engineering, test engineering, reliability engineering, or related operational environments is a strong advantage.
• Knowledge of data governance, data quality management, and master data management concepts is considered a plus.

Benefits:

• Flexible remote work model with adaptable working hours.
• Competitive salary and comprehensive compensation package.
• Opportunity to work on cutting-edge projects involving AI, analytics, and advanced manufacturing technologies.
• Exposure to global teams and international collaboration opportunities.
• Continuous learning and professional development in innovative technical domains.
• Additional paid day off for your birthday.
• Paid company shutdown period between Christmas and New Year.
• Inclusive and collaborative workplace culture with a strong focus on innovation and sustainability.
• Opportunity to contribute to projects that drive meaningful business, operational, and technological impact.