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.
Accountabilities:
- 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.