Business Intelligence Engineer, Prime Video Finance

Amazon.com, Inc
Charing Cross, United Kingdom
16 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Charing Cross, United Kingdom

Tech stack

Java
Microsoft Excel
Data analysis
Information Engineering
ETL
Data Visualization
Decision Support Systems
Python
MicroStrategy
NoSQL
Oracle Applications
Power BI
Standard Sql
Tableau
Scripting (Bash/Python/Go/Ruby)
Data Analytics
Tools for Reporting
Data Pipelines
Redshift

Job description

Prime Video Finance BI team seeks a business intelligence engineer to support Prime Video strategy and performance. You will be responsible for the production of key business reporting to leadership, building scalable data solutions to complex problems and performing ad-hoc deep dives to better understand and value performance metrics. You will work with upstream tech teams to create complex data ingestion pipelines for critical data sources, and create actionable KPIs for business teams. In this role, you will also work with key business stakeholders from Finance and Business organizations to identify challenges and translate them into technical requirements that can be solved with BI and Analytics tools., The successful candidate will thrive in a data driven environment that it driven to deliver insights that is timely, accurate and actionable to aid decision support. Motivated by solving complex problems and excited about using data analytics to drive a business forward, the successful candidate will relish the opportunity of driving forward Prime Video's analytics to the next level. Some of the key responsibilities of this role will include:

  • Own business-critical reporting that is leveraged globally by hundreds of users; from developing and maintaining large-scale data structures and ETL pipelines to creating reporting in Quicksight or Excel.
  • Gather business requirements from key stakeholders in Finance and Business teams, and translate into scalable and automated solutions.
  • Provide informed analysis, insight and recommendations around our business metrics to drive optimisation and more effective decision making.
  • Build strong relationships with the Data Engineering and Core Analytics Tooling teams to enhance upstream data sources and develop data processes to enable more scalable and accurate reporting.

Requirements

  • Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
  • Experience with scripting language (e.g., Python, Java, or R)
  • Experience with SQL
  • Experience in the data/BI space

Preferred Qualifications

  • Master's degree, or Advanced technical degree
  • Knowledge of data modeling and data pipeline design
  • Experience with statistical analysis, co-relation analysis

About the company

Amazon's Prime Video is a premium on-demand video entertainment service that offers customers the greatest choice in what to watch from popular Amazon Original TV shows such as The Grand Tour, Jack Ryan, The Boys and the recent Golden Globe winning The Marvelous Mrs. Maisel, to Original Movies like the Oscar-winning Manchester by the Sea and The Salesman. The service also offers TV shows that are exclusively available for Prime members in each country such as American Gods, Mr Robot and Outlander, and more recently live sport including the US Open tennis and Premier League football. Prime Video is at the forefront of the entertainment industry and growing fast - now available in more than 240 countries and territories worldwide - and we work in a dynamic, and exciting 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., 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.

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