Business Intelligence Engineer, SQL, Tableau

2 weeks ago


London, United Kingdom Amazon Full time

Snr Business Intelligence Engineer, WW Prime Video
Job ID: 2618068 | Amazon Development Centre (London) Limited
Come build the future of entertainment with us.
Are you interested in shaping the future of movies and television? 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 marketing team for Amazon Prime Video in the UK, London and they have the responsibility for driving the customer growth and engagement with this service through a very broad combination of marketing channels across EU.
You will work in a team of high performing Business Analysts and Data Scientists and you will be a thought partner of the Amazon Video EU marketing team. The marketing team is highly data driven and you will be responsible for partnering with them on a wide variety of customer and content insights including streaming, movies and shows KPIs, conversion and retention analyses. Working closely with internal clients, the successful candidate will have excellent stakeholder management, Big Data analytics, advanced modelling techniques as well as good communication skills.
In order to scale and have the same pace this rapidly evolving business, the Analytics team is increasingly focused on automation and creating self-serve platforms to make its models and insights available throughout Amazon Video. Ability to translate business problems into analytical tasks and initiatives to support the growth of our shows
- Ability to communicate results to a business audience in a clear and concise way
- Project and stakeholder management
- Experience of working with business leads and marketing teams to successfully meet deadlines in a fast-paced, rapidly-changing environment.
- Deep analytical abilities, specifically but not limited to campaign performance and experiment design and analysis
- Excellent data manipulation skills. SQL required
- This position will suit a Data Analyst, Marketing Analyst or Business Analyst that has specifically worked with marketing data and has experience with SQL and data manipulation. Attention to detail is crucial and we welcome the ability to bring data to life, conveying insight in a simple and impactful way. Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with SQL
- Python) and advanced SQL skills.
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
- Experience with AWS technologies
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in the data/BI space
Experience managing, analyzing and communicating results to senior leadership
Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.
If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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