Business Intelligence Engineer
Overview
Placement Type:
Temporary
Compensation:
£313 per day(PAYE, Inside IR35)
Start Date:
Asap
Contract – 5 months, Location – London(3 days onsite, 2 days remote)
Our client’s BI team seeks a business intelligence engineer to support 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.
Top 3 skills required for this role:
- SQL
- Experience with a visualization tools, good understanding of data.
- Experience in Data or BI space
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 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
Client Description
Our Client is a FTSE 100, multinational technology company no longer known for just one thing. Their areas of expertise include e-commerce, cloud computing, digital streaming, artificial intelligence, original entertainment… the list goes on. Despite being primarily digital, their aim is to be the most customer-centric company in the world.
Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.