Business Intelligence Engineer, Legal Litigation

Are you interested in creating the most innovative Legal department in the world, solving unique operational challenges no other company has tackled? Operating at Amazon’s scale demands intelligent systems, and a business operations mindset, to wrangle the tens of thousands of incoming legal requests and claims with increasing efficiency as Amazon grows.

In this role, you will sit with the Litigation data engineering team, and work with paralegals, business analysts, Legal technologists, lawyers and global business leaders to operationalize the production of legal work and reduce risk for Amazon. You’ll enjoy breaking things to see how they work, improving on what works, discarding what doesn't, and learning from both. You should be passionate about technology and solving high-impact, ambiguous, business problems in the legal space.

We are looking for a Business Intelligence Engineer to help setup and deliver robust, structured reporting, analytics and models in Europe. You will be a key contributor to shaping our strategic innovation program by equipping the project teams with the insights into the operation performance.

You will have an eye for detail, are proficient / advanced in SQL / DW / Python and have a knack for solving challenging data and reporting challenges. The role requires you to feel comfortable working with and clearly communicating with other functional teams, regionally and globally.

The position will be based in Luxembourg. The ideal candidate will be comfortable in a fast-paced, dynamic environment; will be a creative and an analytical problem solver with the opportunity to fulfill the Amazon motto to “Work Hard. Have Fun. Make History”.

Key job responsibilities

Analysis of business requirements and translation into technical requirements. By support of senior colleagues integration into a working, stable and scalable system

Independent realization of requirements for Business Intelligence and custom software development products

Creation of test cases and guidance of business stakeholders within the testing process

Presentation of solutions and implemented features within weekly sync up with business stakeholders

Ownership of maintenance and error handling of deployed solutions

1 – 2 main projects in parallel

Focus on project delivery

BASIC QUALIFICATIONS

• Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
• Experience with SQL
• Experience in the data / BI space

PREFERRED QUALIFICATIONS