Amazon

DESCRIPTION

The Fulfillment by Amazon (FBA) Supply Cahin Analytics team is looking for a talented junior Business Intelligence Engineer to reinforce our team, currently covering a broad scope of topics like inbound, placement, Speed, Inventory Management, Capacity and Value Recovery Services.

In this role you will contribute from an analytics standpoint to end-to-end analysis: from opportunities/problem identification, to scoping of new ideas and expected financial entitlement, to data engineering, effective reporting and data visualization mechanisms. In the process you'll cooperate with stakeholders worldwide, from multiple business areas such as Business Intelligence, Program Management, Sales, Operations Manager, etc. You will be exposed to a wide and senior audience, and to the opportunity to develop a comprehensive understanding of our business.

Key job responsibilities

As a Business Intelligence Engineer, you will work on:

• Reporting: Own and develop Weekly/Monthly/Quarterly Business Reviews and Data Visualizations for topline metrics, programs, and goals.
• Cross-functional Collaboration: Partner with various departments including Seller Operations, Worldwide FBA teams, and Account Managers to develop scalable frameworks and metrics.
• Data Management: Create and optimize data tables, develop efficient data pipelines, and manage complex data operations involving multiple datasets.

About the team

Our team is responsible for the Supply Chain Analytics within Amazon's Fulfillment by Amazon (FBA) program. FBA is a service that allows sellers to store their products in Amazon's fulfillment centers, and Amazon then picks, packs, ships, and provides customer service for these items.

The key initiatives we focus on include optimizing the supply chain, preventing product defects, engaging with sellers to improve their performance. By supporting these critical areas, we aim to drive growth and profitability for both Amazon and the third-party sellers utilizing the FBA program.

Key job responsibilities

Basic qualifications

• Experience programming to extract, transform and clean large (multi-TB) data sets
• Experience with theory and practice of design of experiments and statistical analysis of results

Experience in scripting for automation (e.g. Python) and advanced SQL skills.

• Experience with theory and practice of information retrieval, data science, machine learning and data mining
• Experience working directly with business stakeholders to translate between data and business needs
• Experience with SQL
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience in the data/BI space

Preferred qualifications

• Experience managing, analyzing and communicating results to senior leadership
• Knowledge of data warehousing and data modeling
• Experience with the Amazon Web Services suite

A day in the life

• Engage with stakeholders to understand their needs and to stay connected with the business reality and priorities
• Think creatively about solving business problems through data
• Identify opportunities for improvements and new initiatives
• Plan your work, communicate timelines to stakeholders and deliver projects
• Seek feedback to improve your deliverables
• Report on business performance, identify emerging trends and explain variances

About the team

Our team is responsible for the Analytics of the EU FBA Supply Chain team, covering a broad scope of topics like inbound, placement, Speed, Inventory Management, Capacity and Value Recovery Services.

BASIC QUALIFICATIONS

• Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
• 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)
• Experience with SQL
• Experience in the data/BI space

PREFERRED QUALIFICATIONS

• Master's degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.