SIOP Data Analytics & Reporting Specialist

Littelfuse; Matamoros; On-site; MXN 380,000 - 720,000; Full time

Job summary

Littelfuse is seeking a SIOP Data Mining Analyst to transform complex data into actionable insights and support forecasting, inventory, and supplier performance. You will extract data from ERP/MRP systems, validate accuracy, and develop KPI dashboards to improve forecast accuracy and reporting efficiency.

Collaborating with Supply Chain, Operations, Production, Procurement, and Customer Service teams, you will drive data-driven decisions, document KPI definitions, and automate reporting

Qualifications

• Bachelor’s degree in Industrial Engineering, Business Analytics, Data Analytics, Information Systems, or related field.
• 2–3 years of experience in Supply Chain, SIOP, Master Scheduling, or data analytics.
• Experience with ERP/MRP systems and supply chain reporting environments.
• Strong knowledge of SIOP, Master Scheduling, and data analytics methodologies.

Responsibilities

• Perform weekly and monthly data extraction from ERP/MRP and planning systems (SAP, SAGE, Netstock).
• Ensure timely availability of information for SIOP, Master Scheduling, and reporting.
• Validate data accuracy, completeness, and consistency before reporting.
• Update and maintain KPI reports and dashboards via data mining and analysis.
• Monitor KPIs: Forecast Accuracy, On-Time Delivery, Fill Rate, and Inventory projections.
• Analyze trends, exceptions, and drivers to identify root causes of issues.
• Provide data-driven insights to support business decisions and performance improvement.
• Consolidate information from multiple sources into structured formats for reporting.
• Prepare dashboards for weekly and monthly SIOP reviews and management reviews.
• Develop automated reporting solutions to reduce manual processing.
• Utilize Power BI, Excel, SQL for recurring reporting tasks.
• Identify opportunities to improve data collection, validation, and workflows.
• Collaborate with cross-functional teams to validate outputs.
• Communicate findings clearly to technical and non-technical stakeholders.
• Document KPI definitions, data sources, and reporting methodologies.
• Support process standardization and knowledge sharing across the organization.

Skills

Data analytics

KPI reporting

Data visualization

Communication

Stakeholder management

Problem solving

Reporting automation

Attention to detail

Multitasking

Education

Bachelor’s degree in Industrial Engineering or related fields

Tools

SAP

SAGE

Oracle

Power BI

SQL

Excel

Power Query

Power Pivot

Visio

Job description

Littelfuse is seeking a SIOP Data Mining Analyst to transform complex data into actionable insights and support forecasting, inventory, and supplier performance. You will extract data from ERP/MRP systems, validate accuracy, and develop KPI dashboards to improve forecast accuracy and reporting efficiency.

Collaborating with Supply Chain, Operations, Production, Procurement, and Customer Service teams, you will drive data-driven decisions, document KPI definitions, and automate reporting