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    Business Intelligence Engineer - London, United Kingdom - Amazon Digital UK Limited

    Amazon Digital UK Limited
    Amazon Digital UK Limited London, United Kingdom

    1 week ago

    Default job background
    Full time
    Description

    Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices.

    U.S.

    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.

    More than 200 million Prime members in 25 countries around the world enjoy access to Amazon's enormous selection, exceptional value, and fast delivery.


    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.

    Mindful of dependencies and able to make sensible trade-offs, you will be hands-on with a passion for code and design.

    You are passionate about tools and technology and do not hesitate to develop new skills if that is what it takes to provide a better solution.

    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

    Key job responsibilities


    • 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
    We are open to hiring candidates to work out of one of the following locations:

    London, GBR

    BASIC QUALIFICATIONS

    • 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
    PREFERRED QUALIFICATIONS

    • 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 largescale, 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
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