Business Intelligence Engineer II

JR United Kingdom; London; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A leading company is seeking a Business Intelligence Engineer II in London. This hybrid role involves developing data structures, ETL pipelines, and providing insights to drive business decisions. Candidates should have strong skills in SQL, data visualization, and statistical analysis, with experience in various data tools.

Qualifications

• Experience in Data or BI space.
• Experience with virtualization tools.

Responsibilities

• Developing and maintaining large-scale data structures and ETL pipelines.
• Providing analysis, insights, and recommendations on business metrics.
• Collaborating with Data Engineering to improve data sources.

Skills

SQL

Data Analytics

Data Visualization

Statistical Analysis

Python

Tools

Tableau

Quicksight

Redshift

Oracle

NoSQL

Job description

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Business Intelligence Engineer II, London

Client: Cpl Life Sciences

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 5

Posted: 12.05.2025

Expiry Date: 26.06.2025

Job Description:

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 virtualization tools, good understanding of data

Key job responsibilities:

• The successful candidate will thrive in a data-driven environment that is focused on delivering timely, accurate, and actionable insights to support decision-making. Motivated by solving complex problems and excited about using data analytics to drive a business forward, the candidate will have the opportunity to advance Prime Video's analytics capabilities. Responsibilities include:
• Owning business-critical reporting used globally by hundreds of users, including developing and maintaining large-scale data structures and ETL pipelines, and creating reports in Quicksight or Excel.
• Gathering business requirements from stakeholders in Finance and Business teams, and translating them into scalable and automated solutions.
• Providing analysis, insights, and recommendations on business metrics to optimize operations and decision-making.
• Collaborating with Data Engineering and Analytics Tooling teams to improve data sources and develop scalable, accurate reporting processes.

Experience:

• Analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
• Data visualization using Tableau, Quicksight, or similar tools
• Data modeling, warehousing, and ETL pipeline development
• Statistical analysis using R, SAS, Matlab
• SQL and scripting (Python) for data processing and modeling

Preferred qualifications:

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
• Experience in data mining, ETL, and handling large-scale, complex datasets in a business environment