Location
London

Hours
Full Time

Salary
Competitive, commensurate with experience

About the Role
The challenges business intelligence engineers solve at Amazon are significant and impact millions of customers, sellers, and products worldwide. This role is ideal for someone excited by creating new products, features, and services from scratch while managing ambiguity and working at the fast pace of a company with ship cycles measured in weeks, not years. At Amazon, your work will frequently change the world.

As part of the Amazon EU Student Programs Team, you will join at the heart of our core consumer business. This 1-year fixed term contract offers the opportunity to develop analytical solutions to complex business problems using the highest standards of analytical rigor and data integrity. You will write high-quality code to retrieve and analyze data, design pragmatic analyses and automated metrics, and work closely with business stakeholders to deliver measurable business value.

Our team values work-life balance, fostering an inclusive culture that attracts and retains diverse talent. We are committed to mentorship and career growth, supporting your development as the business grows rapidly.

Experience
- Programming to extract, transform, and clean large (multi-TB) data sets
- Design of experiments and statistical analysis of results
- Experience with AWS technologies
- Scripting for automation (e.g. Python) and advanced SQL skills
- Information retrieval, data science, machine learning, and data mining
- Working directly with business stakeholders to translate data into business needs
- Data visualization using Tableau, Quicksight, or similar tools
- Experience in the data/business intelligence space

About you
Ambitious and analytical thinker who thrives in a fast-paced, dynamic environment. You are passionate about using data to solve complex business problems and eager to grow your skills in a collaborative and inclusive team culture. You value work-life balance and are motivated by delivering real business impact.

Qualifications
Proven experience managing, analyzing, and communicating results to senior leadership is preferred. Strong technical skills in SQL, Python, and AWS technologies are essential. A background in data science, machine learning, or related fields is highly advantageous.