Manufacturing Data Analytics Specialist

Caterpillar Brazil; México; A distancia; MXN 60.000 - 90.000; Jornada completa

Descripción de la vacante

Caterpillar Inc. in Santa Catarina, Mexico is seeking a Manufacturing Data Analytics Specialist to drive data-driven improvements across operations. You will collect, model, and visualize data from ERP and manufacturing systems, build dashboards, and support automation projects to boost productivity and quality.

Ideal candidates have expertise in Power BI, SQL, Python, data modeling, and collaboration with cross-functional teams, with a focus on data integrity and actionable insights.

Formación

• Experience collecting, integrating, modeling, visualizing, and analyzing data from manufacturing systems and ERP platforms.
• Ability to design dashboards and analytics solutions to improve productivity and quality.
• Knowledge of data quality, data governance, and data-driven decision making.

Responsabilidades

• Develop and maintain data models, dashboards, and analytical solutions.
• Analyze information from ERP and manufacturing systems and data sources.
• Collaborate with Operations, Quality, Supply Chain, and Finance teams on data projects.
• Prepare executive reports and KPIs; support automation and digital transformation.

Conocimientos

Data analytics

Business intelligence

Power BI

Excel

SQL

Python

APIs

Data modeling

Data integration

Educación

Bachelor's Degree in Systems Engineering

Bachelor's Degree in Information Technology

Bachelor's Degree in Industrial Engineering

Herramientas

SAP

MES

Azure Data Services

ETL tools

Descripción del empleo

## Manufacturing Data Analytics SpecialistApply: Santa Catarina, Nuevo León: Full time: Posted Today: R0000389916**Career Area:**Technology, Digital and Data**Job Description:****Your Work Shapes the World at Caterpillar Inc.**When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.**Job Description**Provide support for **Automation & Digitalization initiatives** through the collection, integration, modeling, visualization, and analysis of data from manufacturing systems, ERP platforms, and other business applications, transforming it into actionable information to improve productivity, quality, operational efficiency, and decision-making.**Responsibilities*** Develop and maintain data models, dashboards, and analytical solutions.* Analyze information from ERP systems, manufacturing systems, and other data sources.* Design and implement visualization and automation solutions.* Collaborate with Operations, Quality, Supply Chain, and Finance teams.* Ensure data quality, integrity, and consistency.* Implement data extraction, transformation, and integration processes.* Prepare executive reports and key performance indicators (KPIs).* Participate in automation and digital transformation projects.**Education****Bachelor’s Degree in:** Systems Engineering, Information Technology, Mechatronics, Data Science, Business Analytics, Industrial Engineering, Manufacturing Engineering, or a related field.**English:** Advanced level (B2-C1) required for global meetings, technical documentation, and presentations.**Skills****Data Analytics & Business Intelligence*** Proficiency in **Power BI** for dashboard and KPI development.* Advanced **Excel** skills for data analysis.* Knowledge of **SQL** for data extraction and querying.* Understanding of data modeling and relational databases.* Proficiency in **Python** for automation and data analysis.* Knowledge of APIs and data source integration.* Knowledge with ETL and data integration tools (preferred).**Manufacturing Data & Operational Knowledge*** Knowledge in manufacturing environments.* Knowledge of operational metrics such as **OEE, Productivity, Quality, Traceability, and Downtime**.* Basic understanding of **Lean Manufacturing** principles.* Knowledge handling data generated by manufacturing systems.* Knowledge of **Manufacturing Execution Systems (MES)** (preferred).**Enterprise Systems & Digitalization*** Knowledge working with data from enterprise ERP systems.* Knowledge of **SAP** or other ERP platforms.* Knowledge of **Azure Data Services**.* Understanding of data architecture and integration.* Knowledge with process automation and digitalization solutions.**Stakeholder Collaboration & Communication*** Gather requirements from internal customers.* Present analyses and recommendations.* Facilitate data-driven decision-making.* Collaborate in cross-functional projects.**Preferred Candidate Profile*** Certifications such as: + Microsoft Power BI Data Analyst + Microsoft Fabric Analytics Engineer + AZ-900 + Lean Six Sigma Yellow Belt or Green Belt* Preferred tools: SAP, MES, Azure, ETL platforms.* Differentiating knowledge: + Industry 4.0 + Data Architecture + Automation + Manufacturing Analytics**Additional Information*** Administrative schedule: Monday through Friday, 7:00 AM to 4:00 PM.* Location: Santa Catarina, Nuevo León, Mexico.* Travel requirement: Less than 10%.* Occasional visits to manufacturing plants, training sessions, and digitalization projects.**Final details:**Caterpillar's Code of Conduct states that we will select, and place employees based on their qualifications for the job to be performed, without regard to race, religion, national origin, color, gender, gender identity, sexual orientation, age, or disability. In this company we do not request pregnancy tests or HIV tests as requirements for entry, permanence, or promotion in employment.Please frequently check the email associated with your application, including the junk/spam folder, as this is the primary correspondence method. If you wish to know the status of your application – please use the candidate log-in on our career website as it will reflect any updates to your status.**Posting Dates:**septiembre 11, 2026 - septiembre 17, 2026