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Business Intelligence Engineer II

Cpl Life Sciences
City of London
2 weeks ago
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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

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