Job Description

DESCRIPTION

The Amazon Warehousing and Distribution team (AWD) is at the forefront of supply chain innovation, and is leading the next generation of marketplace and multi-channel storage and distribution services.

We are looking for a passionate, result-oriented and inventive Business Intelligence Engineer. This is an opportunity to work in a startup like environment within Amazon and we seek an individual who is motivated by a fast-paced and highly entrepreneurial environment. You will be part of a growing Business Intelligence team within the wider FBA org with leaders to mentor and support your growth.

We are looking for someone who is detail-driven, and has excellent problem solving and deep dive abilities including experience with modelling complex data. Ability to navigate ambiguous programs while keeping a high bar on quality of outputs is a must. You will be a key contributor to shaping our strategic innovations and customer experience by equipping the product and operations teams with the relevant insights.

The role requires you to feel comfortable working with and clearly communicating with other functional teams, regionally and globally.

Key responsibilities are to:
1. Design, develop and maintain scalable (automated) reports and dashboards that track progress towards plans
2. Automate data pipelines
3. Define, track and report program success metrics
4. Collaborate with business and product teams to define data requirements and processes
5. Building scalable, efficient, and automated data processes to facilitate customer-facing reporting.

Key job responsibilities
1. Design, develop and maintain scalable (automated) reports and dashboards that track progress towards plans
2. Automate data pipelines
3. Define, track and report program success metrics
4. Collaborate with business and product teams to define data requirements and processes
5. Building scalable, efficient, and automated data processes to facilitate customer-facing reporting.

BASIC QUALIFICATIONS

- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience writing complex SQL queries
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

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