Description:
The Supply Chain Analyst will be a key partner responsible for driving significant analysis opportunities across the Australian Fulfillment Center network. This role encompasses a range of responsibilities, including managing operational metrics, enhancing reporting systems, and providing insightful forecasting and analysis. The ideal candidate will be strategic and analytical, demonstrating a proven ability to effectively elevate the performance of a high-growth business.In addition, the candidate should possess a robust capacity to generate and implement actionable insights derived from data within the Fulfillment network. This role requires not only a keen eye for detail but also the ability to collaborate effectively with various teams, ensuring that strategic initiatives are aligned with overall business objectives in the Australian market
Key job responsibilities
• Perform operational reporting, ad-hoc business analyses and appropriate modeling.
• Develop evaluation framework for the network to invest in various continuous improvement initiatives
• Contribute to business decisions by providing insightful analysis and methodical consideration for the end-to-end impact to systems, tools and ongoing support requirements.
• Identify opportunities and drive automation in existing manual process
• Develop ad hoc business analysis and present recommendations to senior management on strategic decisions and planned future initiatives.
• Facilitate the Business reviews with data analysis and follow through with business leaders on actionable items
We are open to hiring candidates to work out of one of the following locations:
Melbourne, VIC, AUS | Sydney, NSW, AUS
Requirements:
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected attributes.
11 Apr 2024;
from:
amazon.jobs