Business Analyst – Machine Monitoring & Automation (N)

Sanmina; Región Centro; On-site; MXN 420,000 - 640,000; Full time

Job summary

Sanmina is seeking a data-driven Business Systems Analyst to bridge OT and business strategy in our manufacturing environment in Jalisco, Mexico. You will analyze machine performance data, map workflows, and identify opportunities to deploy automation, driving uptime and efficiency.

You will collaborate with engineering, IT, and operations to translate telemetry into actionable insights, develop KPIs and dashboards, and support the implementation of automated workflows and predictive maintenance

Qualifications

• Bachelor’s degree in Business Analytics, Industrial Engineering, Computer Science, Information Systems, or a related field.
• 3+ years of experience as a Business Analyst, preferably in a manufacturing, logistics, IoT, or heavy industry environment.
• Proven experience working with machine monitoring systems, industrial automation, or IoT/OT platforms.

Responsibilities

• Collaborate with operations, engineering, and maintenance teams to understand current machine workflows and opportunities.
• Define and document detailed business and technical requirements for machine monitoring systems (IoT platforms, SCADA, MES) and automation initiatives.
• Create detailed current-state and future-state process maps highlighting automation opportunities.
• Analyze machine telemetry, sensor data, and error logs to identify performance bottlenecks, cycle time inefficiencies, and root causes of downtime.
• Develop and maintain KPIs and operational dashboards (e.g., OEE) to provide visibility to stakeholders.
• Translate complex machine data, with support of engineering teams, into clear, actionable business recommendations for leadership.
• Partner with automation engineers and software developers to design, test, and implement automated workflows and predictive maintenance models.
• Act as the primary liaison between technical teams (IT/OT) and business stakeholders to ensure solutions align with strategic goals.
• Assist in user acceptance testing (UAT) and validate that automated systems meet defined business criteria.
• Standardize operating procedures (SOPs) for newly automated processes.
• Provide training and documentation to end-users to ensure smooth adoption of new monitoring tools and automated systems.
• Continuously monitor implemented solutions to measure ROI and identify areas for further optimization.

Skills

Data Visualization

SQL

Python

R

MES

SCADA

PLC data

ERP systems

Visio

Lucidchart

Miro

Microsoft Office

Google Workspace

Education

Bachelor’s degree in Business Analytics, Industrial Engineering, Computer Science, Information Systems

Tools

Microsoft Visio

Lucidchart

Miro

Microsoft Office

Google Workspace

SAP

Oracle

Job description

Job Description

Business Systems Analyst 3

We are seeking a data-driven and technically savvy Business Analyst specializing in Machine Monitoring and Automation to bridge the gap between our operational technology (OT) and business strategy. In this role, you will analyze machine performance data, map complex industrial workflows, and identify opportunities to deploy automation solutions. You will work closely with engineering, IT, and operations teams to translate raw machine telemetry into actionable business insights, driving efficiency, reducing downtime, and scaling our automated processes.

1. Requirements Gathering & Process Mapping

• Collaborate with operations, engineering, and maintenance teams to understand current machine workflows and opportunities.
• Define and document detailed business and technical requirements for machine monitoring systems (IoT platforms, SCADA, MES) and automation initiatives.
• Create detailed current-state and future-state process maps highlighting automation opportunities.

2. Data Analysis & Insights

• Analyze machine telemetry, sensor data, and error logs to identify performance bottlenecks, cycle time inefficiencies, and root causes of downtime.
• Develop and maintain KPIs and operational dashboards (e.g., Overall Equipment Effectiveness - OEE) to provide visibility to stakeholders.
• Translate complex machine data, with support of engineering teams, into clear, actionable business recommendations for leadership.

3. Solution Design & Implementation Support

• Partner with automation engineers and software developers to design, test, and implement automated workflows and predictive maintenance models.
• Act as the primary liaison between technical teams (IT/OT) and business stakeholders to ensure solutions align with strategic goals.
• Assist in user acceptance testing (UAT) and validate that automated systems meet defined business criteria.

4. Change Management & Continuous Improvement

• Standardize operating procedures (SOPs) for newly automated processes.
• Provide training and documentation to end-users to ensure smooth adoption of new monitoring tools and automated systems.
• Continuously monitor implemented solutions to measure ROI and identify areas for further optimization.

Qualifications & Skills

Educational Background

Bachelor’s degree in Business Analytics, Industrial Engineering, Computer Science, Information Systems, or a related field.

Work Experience

• 3+ years of experience as a Business Analyst, preferably in a manufacturing, logistics, IoT, or heavy industry environment.
• Proven experience working with machine monitoring systems, industrial automation, or IoT/OT platforms.

Technical Skills

• Data Visualization: Proficiency in tools to build operational dashboards.
• Data Analysis: Strong SQL skills; familiarity with Python or R for analyzing large datasets is a significant plus.
• Systems Knowledge: Familiarity with industrial systems such as MES, SCADA, PLC data structures, or ERPs (e.g., SAP, Oracle).
• Process Mapping: Expertise in tools like Microsoft Visio, Lucidchart, or Miro using BPMN standards.
• Computing Proficiency: Advanced command of IT infrastructure, PC hardware, Windows OS, software installation, system updates, browser environments, and enterprise productivity tools including Microsoft Office and Google Workspace.
• Statistical Analysis: Advanced knowledge of analytical methodologies applied to industrial engineering, including OEE metrics, SPC, and various root-cause frameworks within automated environments.

Soft Skills

• Strong analytical thinking and root-cause analysis capabilities.
• Excellent communication skills, with the ability to explain complex technical machine data to non-technical business partners.
• Comfortable working on-site/on the floor alongside engineers and operators.

Additional requirements

• Must have excellent English language skills both written and spoken
• Must be able to travel as needed to US and MX