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    Business Intelligence Engineer, Prime Video Finance BI - Seattle, United States - Amazon Services LLC

    Amazon Services LLC background
    Full time
    Description

    Are you passionate about **data analytics** and ready to take your career to the next level?

    Join **Amazon's Prime Video**, a leading on-demand video entertainment service, offering a wide range of exclusive content to customers around the globe. From popular **Amazon Original TV shows** like The Grand Tour and The Boys to award-winning Original Movies like Manchester by the Sea, Prime Video sets the standard for premium entertainment.

    As part of the **Prime Video Finance BI team**, we are looking for a **Business Intelligence Engineer** to play a key role in supporting the strategic direction and performance of Prime Video. This role involves producing essential business reports, developing scalable data solutions, and conducting in-depth analysis to optimize performance metrics. You will collaborate with tech teams to build data pipelines, create KPIs, and work closely with business stakeholders to address challenges through BI tools.

    Key job responsibilities:

    • Own global business-critical reporting systems, ensuring accuracy and timeliness
    • Collect and translate business requirements into automated solutions
    • Analyze performance metrics to drive decision-making and optimization
    • Collaborate with Data Engineering teams to enhance data sources and reporting processes

    We are considering candidates for roles based in **Seattle, WA, USA**.

    BASIC QUALIFICATIONS

    • 3+ years of experience in data analysis with tools like Redshift, Oracle, NoSQL
    • Proficiency in data visualization tools such as Tableau, Quicksight
    • Strong background in data modeling, warehousing, and building ETL pipelines
    • Familiarity with Statistical Analysis packages (e.g., R, SAS, Matlab)
    • Skills in SQL querying and Python scripting
    PREFERRED QUALIFICATIONS

    • Experience with AWS services like EC2, DynamoDB, S3, Redshift
    • Expertise in data mining, ETL processes, and managing complex datasets



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