Job Description

DESCRIPTION

Amazon’s global fulfillment network enables any merchant to ship items that are ordered on Amazon to any place on earth. There is a complex network of ways in which items move between vendor locations, Amazon warehouses, and customer locations as well as several intermediate locations through which packages travel before reaching the customer. With a scale of millions of packages, each with different attributes and delivery requirements, what results is a highly dense graph of nodes.

We have built a highly respected BI and Data Engineering team which is focused on solving complex problems in worldwide transportation using workflows, optimization algorithms, and machine learning systems. These are large-scale distributed systems handling millions of packages being shipped through the Amazon logistics network.

As a Senior Business Intelligence Engineer, you will develop datasets, dashboards, reports, and visualizations using BI tools, and provide data-driven recommendations to support strategic planning within Amazon Shipping. Additionally, you will deliver across planned projects that will improve overall cost and profitability for the business.

Key job responsibilities
Data Management and Integration: Collect, process, and manage large datasets from various sources, ensuring data accuracy, consistency, and accessibility.

Data Analysis: Analyze complex data sets to identify trends, patterns, and insights that can inform business decisions.

Reporting and Visualization: Develop and maintain dashboards, reports, and visualizations to present data insights in an understandable and actionable format.

Stakeholder Collaboration: Work closely with stakeholders to understand their data needs, provide data-driven recommendations, and support strategic planning.

Tool and Technology Utilization: Utilize and stay updated with the latest BI tools and technologies to enhance data analysis and reporting capabilities.

BASIC QUALIFICATIONS

- 5+ years of professional or military experience
- 5+ years of SQL experience
- 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 with AWS technologies
- 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

Job Tags

Worldwide,

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