Offers “Amazon”

Expires soon Amazon

Business Intelligence Engineer

  • Seattle (King County)
  • Design / Civil engineering / Industrial engineering

Job description

DESCRIPTION

Who are we?
It's no secret that Amazon relies on its technology to deliver millions of packages every day to its customers – on time, with low cost. We, the Transportation Technology division, build the complex software solutions that are needed to work across our vendors, warehouses and carriers to optimize both time & cost of getting the packages delivered. That said, this is a multi-billion-dollar business, and our technical journey has only started. We are looking to build brand new systems that use our vast collection of data to optimize the delivery algorithms – and make a big impact on Amazon's business costs. If you find this space interesting, Transportation Forecasting Technology team might be the right fit for you. Read on…

What do we do?
The first step in ensuring we can figure out an optimal solution to ship all our packages is knowing the data for the problem well in advance. Yes - forecasting! Our team's vision is to build systems that analyze forecast how many packages will flow through the entire Amazon transportation network – from our vendors into our warehouses, out of our warehouses to our customers, between our warehouses. Constantly measuring & ensuring the accuracy of forecast is also critical given the whole transportation plan (and thus billions of dollars of expense) are impacted by this crucial piece of data. This is easier said than done. From figuring out how to collect the right data from various systems, to designing systems on how to quickly process this data, to developing machine-learning algorithms to use this data - and a multitude of other factors - into predicting what the future demand will look like, to constantly measuring & improving the accuracy of our algorithms … well, you get the idea … it is a tough nut to crack. And that's why we are building a brand new team to solve this, and need smart and passionate engineers such as you to join in the effort

What will you do?
As a Business Intelligence Engineer, you will be responsible for understanding and mining the large amount of data, build metrics and drive customer adoption. You will play a leadership role in our team – the team will look to you for advice on analytical and business issues facing them. You will have a department-wide view of the analytical solutions that you build, and you will consistently think in terms of automating or expanding the results company-wide.

You should be a self-starter who knows and loves working with BI tools, and who thrives on implementing creative approaches and dealing with the intricate complexity of large data sets, while partnering with customers to answer key business questions. You are analytical and creative, and you don't quit. You will also have the opportunity to display your skills in the following areas:
· Interface with business customers, gathering requirements and delivering complete BI solutions.
· Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift, Oracle) and ability to use a major programming and/or scripting language to process data for modeling
· Lead customer utilization research projects to better understand how our customers are using our forecast including the accuracy reporting metrics.
· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

Desired profile

BASIC QUALIFICATIONS

· Bachelor's degree in Math/Statistics/Engineering or other equivalent quantitative discipline
· 3+ years in relevant experience as data scientist, software engineer, business intelligence engineer, or equivalent
· Demonstrated development and application of predictive statistical procedures in languages such as R, SAS, SPS
· Experience data modeling and transformation of large scale data sources using SQL, Hadoop, Spark, Hive, EMR, or other Big Data technologies
· Knowledge of scripting for automation (e.g. Python, Perl, Ruby)
· Strong active listener with solid written and verbal communication skills
· Ability to work cross-functionally, building and maintaining trust with internal stakeholders

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