S&OP Analyst, Supply Chain

Amazon; São Paulo; Presencial; BRL 60.000 - 100.000; Tempo integral

Resumo da oferta

An established industry player is seeking a skilled Business Analyst to enhance its Supply Chain Operations in Brazil. This role is pivotal in driving the Sales & Operations Planning (S&OP) process, focusing on optimizing external fulfillment network performance. You will leverage your analytical and problem-solving skills to develop KPIs, automate reporting solutions, and create interactive dashboards. Collaborating with various stakeholders, you'll identify bottlenecks and recommend data-driven strategies to improve efficiency. Join a dynamic team and make a significant impact on the operational excellence of a rapidly growing network while utilizing cutting-edge supply chain solutions.

Qualificações

• Experience as a business analyst/data analyst with strong analytical skills.
• Proficiency in SQL and Excel for data extraction and analysis.

Responsabilidades

• Drive S&OP process for External Fulfillment partners including demand planning.
• Develop KPI frameworks to monitor operational efficiency and performance.

Conhecimentos

Analytical Skills

Problem-Solving

Project Management

Communication Skills

Supply Chain Metrics

Process Improvement

Formação académica

Bachelor's degree in Business

Bachelor's degree in Engineering

Bachelor's degree in Statistics

Bachelor's degree in Computer Science

Bachelor's degree in Mathematics

Bachelor's degree in Supply Chain

Ferramentas

SQL

Excel

Python

Quicksight

Tableau

Descrição da oferta de emprego

Amazon is seeking an experienced Business Analyst to join our Supply Chain Operations team in Brazil, specifically supporting the External Fulfillment (EF) Sales & Operations Planning (S&OP) process. This role represents a critical position within our Brazil Operations organization, helping to optimize our external fulfillment network performance.

Key Responsibilities:

1. Drive the S&OP process for External Fulfillment partners, including demand planning, capacity management, and performance tracking.
2. Develop and maintain comprehensive KPI frameworks to monitor operational efficiency, cost metrics, and capacity utilization across EF partners.
3. Design and implement automated reporting solutions for Weekly Business Reviews (WBR) and monthly S&OP meetings.
4. Create and maintain interactive dashboards using tools like Quicksight/Tableau to provide real-time visibility into EF network performance.
5. Perform complex data analysis using SQL to extract insights and identify optimization opportunities within the EF network.
6. Partner with business stakeholders to identify bottlenecks and develop action plans to improve planning accuracy and operational efficiency.
7. Lead deep-dive analyses to identify trends and root causes for performance deviations.
8. Provide data-driven recommendations to optimize the EF network within the broader Amazon Fulfillment ecosystem.

Success in this role requires:

1. Strong analytical and problem-solving skills with attention to detail.
2. Excellent project management and organizational abilities.
3. Effective communication skills to present complex data to various stakeholders.
4. Ability to work independently in a fast-paced environment.
5. Experience with supply chain metrics and KPI development.
6. Proven track record of implementing process improvements.

This position offers an exciting opportunity to impact Amazon's rapidly growing External Fulfillment network in Brazil while working with cutting-edge supply chain solutions.

BASIC QUALIFICATIONS

1. Bachelor's degree in Business, Engineering, Statistics, Computer Science, Mathematics, Supply Chain or related field.
2. Experience working as business analyst/data analyst/statistical analyst role and conducting analysis and data mining using Excel.
3. Experience extracting and processing data using SQL.
4. Experience creating Macros to solve business needs.
5. Experience conducting statistical analysis using Python.

PREFERRED QUALIFICATIONS

1. Understanding of data warehousing and data modeling.
2. Excellent communication (verbal, written, and data presentation) and interpersonal skills to effectively communicate with both business and technical teams.
3. Ability to deal with ambiguity and competing objectives in a fast-paced environment.
4. Software development experience / Coding knowledge.

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