Business Intelligence Engineer

Description

  • Must be enrolled at a university and plan to graduate before August 2018 or within six months of graduation. Otherwise, please apply to the Business Intelligence Engineer internship posting if you are graduating after August 2018, or to full-time non-university positions if you have graduated more than six months ago.*

https://www.amazon.jobs/en/jobs/560701

We will begin reviewing resumes on a rolling basis and begin reach-outs for interviews around Sept 1, 2017.

Amazon is looking for a Business Intelligence Engineer to help manage our ever growing information needs and support analysis of increasingly complex business questions. You will design and execute ongoing programs of experimentation and study which inform these efforts. This will include working closely with software engineers to create innovative randomized experiments within the constraints of production software systems. You will seek out hidden and valuable correlations between the easily-measurable and the hard-to-quantify, within immense volumes of real-world data. You will also formulate quantitative metrics which allow us to track our progress, and then devise creative measurement and audit solutions which allow us to track those metrics with minimal cost and human effort. You will provide input into business and technical direction, steering broader solutions in support of these objectives. This role is expected to push the boundaries of measurability without sacrificing rigor.

Basic Qualifications

  • Master's degree in Information Technology, Business Analytics, Mathematics, Engineering, or Statistics in a field of experimental science.
  • Programming skills sufficient to extract, transform, and clean large (multi-TB) data sets in a Unix/Linux environment.
  • Knowledge of scripting for automation (e.g. Python, Perl, Ruby)
  • Experience in data mining and optimizing database query performance in SQL or Oracle.
  • Knowledge and direct experience using statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R.
  • Exemplary communication skills, ability to work with large cross functional teams of technical and non-technical members
  • Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.
  • Familiar with theory and practice of information retrieval, relevance, machine learning, and data mining.
  • Strong desire to push your ideas into production, overcoming obstacles, in order to benefit Amazon's customers.

Preferred Qualifications

  • Preferred graduation date between May 2017 and July 2018
  • Theory and practice of Design of Experiments and statistical analysis of results
  • Experience with AWS Solutions, including EC2, S3, Redshift, EMR (or Hadoop)
  • Experience with Big Data Technologies and familiar with the techniques and limitations of observational studies
  • Skilled at data visualization and presentation
  • Familiar with the core undergraduate curriculum of Computer Science

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