Job summary
Come build the future of entertainment with us.
Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.

We, the Prime Video Financial Services team, are looking for an outstanding Business Intelligence Engineer to help manage our ever growing information needs and support analysis of increasingly complex business questions within the video commerce space. You will be focused on building understanding and measurement of how our teams deliver value to customers and guide decisions around product direction.

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 formulate quantitative metrics which allow us to track our progress, devise creative measurement and audit solutions which allow us to track those metrics with minimal cost and human effort, and design, build, and maintain the data pipelines, datasets and visualisations which provide the foundation for your work. Your work will influence business, product, and technical direction, steering broader solutions in support of these objectives.

The position offers exceptional opportunities for you to grow your skill set, build your understanding of data science, and really make a difference for our customers and our business by inventing, enhancing and building world class analysis and measurement systems, delivering results, working on exciting and challenging projects.

BASIC QUALIFICATIONS

· BA/BSc in Computer Science, Engineering, Statistics, Mathematics, Finance or related field, or equivalent experience.
· Experience using SQL, ETL and databases in a business environment with large-scale, complex datasets
· Skills in Excel as well as any data visualisation tools like Quicksight, Tableau or similar BI tools.
· Experience of displaying complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner

PREFERRED QUALIFICATIONS

· MSc or PhD in Computer Science, Engineering, Statistics, Mathematics, Finance or related field.
· In depth knowledge of AWS solutions such as Redshift, S3, EMR, Athena, DynomoDB
· Coding proficiency Python or other relevant scripting language
· Familiarity in designing and building data infrastructure
· Interest and familiarity with theory and practice of machine learning.




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.

All offers are conditional on references, verification of the right to work in the UK, and successful background screening check. This will include previous employment verification, qualification verification (if relevant) and a relevant criminal check.