Demand & Supply Planning Analyst - São Caetano do Sul/SP

General Motors; São Caetano do Sul; Híbrido; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading automotive company is seeking a Demand & Supply Planning Analyst in São Caetano do Sul, Brazil. This hybrid position involves managing supplier capacity, creating automated analytics tools, and collaborating across functions to enhance supply chain efficiency. Candidates should have a Bachelor's degree in a related field, strong English skills, and experience in supply chain analytics. This role offers the opportunity to implement innovative solutions that optimize performance and ensure production continuity.

Qualificações

• Intermediate to Advanced English proficiency.
• Proven experience in Supply Chain, especially in capacity and production planning.
• Hands-on experience with data analytics and automation projects.

Responsabilidades

• Manage supplier capacity and ensure alignment with production forecasts.
• Design automated dashboards using BI tools and Python.
• Work cross-functionally to ensure integrated planning and execution.
• Proactively identify and mitigate capacity-related issues.

Conhecimentos

Analytical thinking

Strong communication

Collaboration skills

Critical thinking

Formação académica

Bachelor’s degree in Engineering, Administration, Foreign Trade or related field

Ferramentas

BI tools

Microsoft Office Suite

SQL

Python

Descrição da oferta de emprego

Hybrid: This position requires you to work on-site 3 times a week (Tue to Thu)

Role

We are seeking a Demand & Supply Planning Analyst to ensure alignment between production forecasts and supplier capacity across GM South America. This role combines advanced analytics, automation, and programming capabilities with supply chain expertise to deliver proactive solutions that protect production continuity and optimize supplier performance.

What you will do (responsibilities)

• Manage contracted supplier capacity across GM South America, ensuring alignment with production forecasts and DSB decisions.
• Monitor mix changes and volume fluctuations; conduct scenario analysis using advanced analytics tools.
• Support commercial negotiations and resolve issues impacting supply capacity.
• Develop and implement strategic action plans for critical supplier situations.

Digital Analytics & Automation

• Design and implement automated dashboards and reports using BI tools and Python scripts.
• Develop predictive models and algorithms to anticipate capacity risks and optimize supply-demand balancing.
• Apply data manipulation and visualization techniques to improve decision-making speed and accuracy.

Cross-Functional Collaboration

• Interface with Purchasing, PPM, Engineering, Supply Chain to ensure integrated planning and execution.
• Prepare engineering documentation detailing daily volumes and vehicle lifecycle.
• Conduct training sessions for buyers on supplier capacity management and digital tools.

Risk Mitigation & Continuous Improvement

• Proactively identify and mitigate issues related to contracted capacity vs. EDI and plant production capacity.
• Recommend process optimization initiatives leveraging automation and advanced analytics.

Core Competencies

• Analytical and critical thinking for capacity and demand analysis.
• Ability to manage multiple priorities and meet tight deadlines.
• Strong communication and collaboration skills across functions.
• Continuous improvement mindset and digital innovation orientation.

Your skills and abilities (required qualifications)

• Bachelor’s degree in Engineering, Administration, Foreign Trade or related field.
• Intermediate to Advanced English.
• Proven experience in Supply Chain, with strong exposure to capacity and production planning processes.
• Hands-on experience with data analytics and automation projects.

Technical Skills

• Proficiency in BI tools and Microsoft Office Suite.
• Programming language skills (e.g. Python); experience with automation frameworks desirable.
• Knowledge of supply chain principles, demand-supply balancing, and forecasting.
• Familiarity with SQL and data manipulation tools for datasets.

What can give you a competitive edge

• Experience developing predictive models and automation scripts for supply chain optimization.
• Advanced Python programming/language programming and data engineering skills.
• Highly analytical, digitally savvy, and capable of leveraging data-driven tools and programming to enhance planning efficiency and decision-making.
• Track record of implementing digital transformation initiatives in planning processes.
• Strong ability to integrate analytics with operational decision-making.