Business Intelligence Engineer

Job description

DESCRIPTION

Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, the Amazon EU Supply Chain Finance organization is for you.

In the EU Supply Chain Finance team, we focus on improving the customer experience and lower cost for the benefit of our customers by analyzing the end-to-end performance of our supply chain. This includes inventory delivery to our fulfillment network, inventory transfers within our network, order processing and shipping to our customers.

Are you passionate about big data and analytics? Does working in one of the world's largest data environment excite you? Do you want to be a critical part of a high-growth business that is fundamentally changing an industry? If so, then this role is for you.

As a Business Intelligence Engineer, you will be responsible for understanding and mining a large amount of data, building metrics, finding answers and creating solutions. The team will look to you for advice on analytical and business issues facing them. You should be a self-starter who knows BI tools and enjoys working with data, and who thrives on implementing creative approaches and dealing with the intricate complexity of large data sets.

Responsibilities include:
· Interfacing with internal customers, gathering requirements and delivering complete BI solutions
· Interfacing with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift) and ability to use a programming and/or scripting language to process data for modeling
· Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

Desired profile

BASIC QUALIFICATIONS

· Bachelors degree in a quantitative field such as Computer Science, Engineering, Math, Finance, Economics, Statistics, or equivalent work experience
· 2+ years of relevant working experience in an analytical role involving data extraction and analysis
· Knowledge and direct experience using business intelligence reporting/visualization tools (Excel, OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes, etc.)
· 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)