BI Engineer

2 weeks ago


London, Greater London, United Kingdom ABL Recruitment Full time £350 - £400

Job Description Role:
Business Intelligence Engineer
9-month contract
00 Daily + Holiday pay
Immediate

Location:
Central London – Hybrid Working

Our client is a world leading technology business.

They are looking to hire business intelligence engineer to join their video entertainment business division who will support the marketing analytics function for 3rd party devices.

As a BIE, you will own partnering with data engineering and software engineering teams to drive best-in-class business intelligence solutions at scale.

You will work with structured and unstructured data sources to develop deep business insights and architect key business metrics. You will partner with scientists to build forward-looking data experimentation, predictive modelling, and machine learning algorithms.

The role is cross functional and will require working closely with a wide variety of stakeholders including senior members across engineering, product, business leadership, and economics/data science teams.

the design, development, and maintenance of innovative and scalable intelligence solutions across the organization, with the highest standards of analytical rigor and data integrity.

domain expertise and drive major contributions to our data and research roadmap.

Leverage SQL, ETL, Redshift, and other available tools to uncover deep business insights, trends, and opportunities to innovate on behalf our customers.

with data engineering to build best-in-class data architecture and pipelines to support analytics needs.
ambiguous business problem statements into actionable analytical solutions.

Manage large scale data requests and projects to define requirements, manage timelines, and coordinate activities with other involved team members.

with scientists to translate business insights and trends into experimentation and testing, and modelling.

years of analysing and interpreting data with Redshift, Oracle, NoSQL etc. with data visualization using Tableau, Quicksight, or similar tools
with data modelling, warehousing and building ETL pipelines
in Statistical Analysis packages such as R, SAS and Matlab
using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelling
with SQL
in the data/BI space
with AWS solutions such as EC2, DynamoDB, S3, and Redshift
in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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