Description

Additional location includes: Berlin, Munich, Luxembourg

Description

Amazon, one the world’s leaders in e-commerce, is expanding its Analytics team within the Pan-EU Programs team and looking for a talented Data Analyst/Business Intelligence Engineer, to drive the overall growth of our multi-billion business by developing intelligent ways to identify growth opportunities and build analytics to improve the ways we manage business.

We are seeking a passionate, customer-obsessed individual to help us measure, analyze and solve complex problems. You will work alongside of Pan-EU Analytics group and your work will directly impact how we evolve and grow. Flexibility and a strong work ethics are a must.

The successful candidate knows how to work with analytical tools and large data-sets, draw insights from data and partner with customers to answer key business questions. You are analytical and creative, and you don’t quit. Amazon has a culture of data-driven decision-making, and demands analytics that are timely, accurate, and actionable.

Key job responsibilities

The successful candidate will:

• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.

• Write high quality code to retrieve and analyze data.

• Use coding, statistics, modelling and other analytical techniques.

• Draw insights from data, analyze and solve business problems at their root, stepping back to understand the broader context.

• Develop solutions that utilize the highest standards of analytical rigor and data integrity.

• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

• Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use.

• Have an understanding and empathy for business objectives, and continually align your work with those objectives and seek to deliver business value.

• Respond with urgency to high priority requests from senior business leaders.

We are open to hiring candidates to work out of one of the following locations:

Luxembourg, LUX

Basic Qualifications

• Experience with SQL

• Experience with data modeling, warehousing and building ETL pipelines

• Experience with data visualization using Tableau, Quicksight, or similar tools

• Experience in the data/BI space

• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Preferred Qualifications

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

• Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.

• Experience in Statistical Analysis packages such as R, SAS and Matlab

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.