Business Intel Engineer II US Transportation Speed Improvement Team

Are you excited about how information insights can bring value to our transportation team. We are looking for a selfdriven insightful resultsoriented Business Intelligence Engineer to join the North America Transportation Speed Improvement Team. Our team mission is to drive improvements to delivery speed across Amazons fulfillment and transportation network from initial delivery promise to final delivery to our customers. This is a tremendous opportunity for Business Intelligence Engineers who want to develop creative new and innovative ways of interacting with and interpreting business key performance indicators and shape the future of how Amazon Transportation systems offer quick deliveries to customers.

We are seeking an exemplary Business Intelligence Engineer with broad technical skills to build analytic and reporting capabilities that enable optimization of delivery promises for our millions of customers worldwide. Further you will help automate processes by developing deepdive tools UIs metrics and dashboards to communicate these insights in realtime to the business teams. Successful members of this team collaborate effectively with internal endusers crossfunctional software development teams and technical support/sustaining engineering teams to solve problems and implement new solutions.

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.
Define develop and maintain critical business and operational reports reviewed on a weekly monthly quarterly and annual basis
Perform ad hoc deep dives to understand drivers for transportation issues and opportunities as well as support North American and Global transportation teams with special projects.
Help continually improve ongoing reporting and analysis processes automating or simplifying selfservice support for customers
Be enthusiastic about building deep domain knowledge about Amazons business and the order fulfillment speed space.
Must possess strong verbal and written communication skills be selfdriven and deliver high quality results in a fastpaced 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 dataset 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 graduatelevel 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).

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.