Job Description :
Job summary
Amazon’s mission is simple: we want to be Earth’s most customer-centric company. Fulfilment by Amazon (FBA) enables third-party businesses (our Selling Partners) to hand over the heavy lifting of warehousing, payment processing, delivery returns and customer service to Amazon, utilizing the capabilities that Amazon has built over the last 25 years. Today thousands of Amazon Sellers from more than 130 different countries around the world fulfill orders to customers in 185 countries using FBA. Last year FBA in EU served more than 2 billion units.
FBA Operations, Supply Chain and Recovery Services team currently seeks a competent, curious, resourceful, and experienced Business Analyst to discover new ways of optimizing FBA Recovery of Sellers unwanted products. We reduce the environmental impact of our business overall and achieve Zero Waste by creating a hands-of-the-wheel experience for our SPs and auto-enable them for our services wherever it makes sense.
The role presents an exciting opportunity to work on very large data sets in one of the world’s largest data warehouse environments via leveraging the wide plethora of Data Analysis and Data Visualization techniques.
Key job responsibilities
To build data flows for key Recovery metrics and identify Value Recovery and Sustainability improvement opportunities
.To automate manually maintained ETL
pipelines
.To lead deep dives
.To build insightful dashboards
.To efficiently collaborate with business
stakeholders
.To contribute to key business documents
.To derive insights for call-outs during weekly and monthly business reviews
Basic Qualifications :
.Bachelor’s degree in Computer Science, Mathematics, Statistics, Finance, Engineering, Operations Research, Finance, Economics or similar .
.3+ years of relevant professional experience in business intelligence, business analytics, statistics, data engineering, data science or related field .
.Experience gathering requirements, and designing data system solutions to meet customer needs .
.Experience using SQL, ETL and databases in a business environment . Experience with data visualization using PowerBI, Tableau, Amazon QuickSight, or similar tools .
.Record of delivering small and medium analytical solutions with business impact . Impeccable attention to detail, passion for processes, systems and data mining
Preferred Qualifications :
.Master’s degree in Computer Science, Mathematics, Statistics, Finance, Engineering, Operations Research, Finance, Economics or similar
.5+ years of relevant professional experience in a fast-paced, high-tech environment with the main expertise in business intelligence, business analytics, statistics, data engineering, data science or related field
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