Business Intelligence/ SQL Engineer
3 weeks ago
Business Intelligence Engineer (12 month Fixed Term Contract), Prime Video
Job ID: 2571008 | Amazon Digital UK Limited
Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. Prime members can also subscribe to 100+ channels including Max, Discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. We are seeking an outstanding Business Intelligence Engineer on a 12-month fixed term contract to uncover key insights about marketing efficiency of Prime Video owned and operated marketing channels across the globe and improve churn prevention.
As part of the Prime Video team, you’ll get to work on projects that are fast-paced, challenging, and varied. Also, you’ll get to experiment with new possibilities, take risks, and collaborate with remarkable people.
The successful candidate will thrive in a data-driven environment that seeks business intelligence that is timely, accurate and actionable to aid decision support. Obsessed with solving complex problems and passionate about the potential of analytics to drive a business forward, the successful candidate will relish the prospect of driving forward Prime Video's analytics and automation to the next level. You will relentlessly find opportunities to automate tasks and aim to create state-of-the-art tools and technology to support business teams.
We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented creatives, technologists, marketing professionals and so much more, you can decide where a career with Prime Video takes you
Support the analytical needs of stakeholders in the marketing, finance and PV product teams, including analytical insight, automated report building and metric design
• Build predictive models for customer impressions and partner with finance on business cases
• Partner with technology teams to ensure availability of required data sources
• Ensure that the quality and timeliness of analytic deliverables meet business expectations
Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- 2+ years of experience in analytics or data engineering within a technology environment
Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams
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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