Transportation Procurement Analyst, Transportation Procurement Brazil

Role summary: Lead transportation procurement operations, managing carrier contracts and processes to ensure efficient delivery while optimizing costs.


Key job responsibilities
- Develop and manage cost-effective transportation contracts;
- Build/maintain relationships with 3P carriers;
- Evaluate contracts and conduct performance audits;
- Perform cost analysis and establish improvement benchmarks;
- Implement risk management procedures;
- Collaborate with legal for contract reviews;
- Drive supplier relationships and negotiations;
- Ensure compliance with company spending policies;
- Lead procurement metrics and improvement initiatives;
- Track KPIs and develop action plans for savings goals;
- Python and SQL heavy user.- Drive appropriate relationships with category suppliers, with a principal objective of achieving the optimal solution and cost of ownership that meets the business’ goals supported by a culture of continuous improvement with performance benchmarks in use.
- Manage category suppliers to proactively identify, monitor and optimize opportunities.
- Act as a market intelligence provider regarding categories; anticipate strategic opportunities and keep key stakeholders informed.
- Drive category suppliers in Supplier Relationship Management activities to mitigate risk, improve performance and add value to Amazon.
- Identify, achieve and report on savings and value targets for category sourcing activities.
- Align with internal customers and understand the business application of the category.
- Analyze data and find patterns to optimize Amazon Costs;

Basic Qualifications

- Experience in program or project management;
- Experience working cross functionally with tech and non-tech teams;
- Bachelor's degree;
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL;
- Experience defining program requirements and using data and metrics to determine improvements;
- Advanced English Level.

Preferred Qualifications

- Proficiency in Python or similar programming languages (R, SQL);
- Experience with data visualization tools (Power BI, Tableau);
- Strong background in data analysis and statistical modeling;
- Knowledge of machine learning concepts for demand forecasting;
- Ability to create automated reporting solutions.

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