Amazon Business Intel Engineer II US Transportation Speed Improvement Team 

United States, Washington, Bellevue 

11221404

Key job responsibilities
- Create, support, improve, and deep dive transportation metrics to provide actionable insights related to delivery speed, network design, and customer experience. This will require data gathering and analysis, partnering with external teams, synthesis and modeling, problem solving, and communication of insights and recommendations.
- Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.

- BA/BS in Computer Science, Engineering, Mathematics, Statistics or related experience.
- 3+ years of relevant work experience in data science, business analytics, business intelligence (BI), or comparable experience in big data environments.
- 3+ years of experience in data mining and data-set preparation using SQL.
- 3+ years of experience with Tableau Desktop or other relevant data visualization software.
- Knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/analytic tools and environment.
- Proficient understanding of data warehousing, data modeling methods.
- Proficient with Python or other relevant scripting language

- Graduate degree in Computer Science, Engineering, Mathematics, related technical field· Proven ability to solve complex quantitative business challenges.
- Familiarity with forecasting, planning, optimization, and engineering economics - gained through work experience or graduate-level education
- Desire to create and build new predictive/optimization tools that benefit the business and improve customer experience.
- Sound business judgment, proven ability to influence others, strong attention to detail, excellent organization skills, and ability to manage multiple projects and responsibilities are critical to success in this position
- Strong skills with third party tools – MPP DBs (e.g. Redshift, Teradata, Netezza), DFS (e.g. Hadoop), NoSQL (e.g. DynamoDB, Cassandra), Data Modeling tools (e.g. ERWin, ERStudio), ETL Tools (e.g. Informatica, Ab Initio, SSIS), BI Tools (e.g. Tableau).
- Exceptional working knowledge of SQL.
- Knowledge of statistics and statistical models as applied to experimentation best practices
- Proficient in at least one scripting language (e.g., Python, R, SPSS).