Business Intelligence Engineer II
Hybrid – London
Up to £350 a day
Inside IR35
6 Months
Key Skills:
SQL
Experience in Data or BI space
Experience with a virtualization tools, good understanding of data
Key job responsibilities
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.
Basic qualifications
Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
Experience with data visualization using Tableau, Quicksight, or similar tools
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
Experience with SQL
Experience in the data/BI space
Preferred qualifications
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
If you are interested please apply or send your CV to
