Business Intelligence Engineer II
Location: London - Hybrid
Length: 01/09/2025 - 28/02/2026
Rate: £451 per day
Hours: 9am-6pm
Job Description:
The EU Everyday Essentials (EE) team is looking for a passionate, customer-obsessed individual to help us build tomorrow's EE business, for an 8-month fixed-term contract in replacement of a maternity leave. As Business Intelligence Engineer, you will be driving force powering the team's data, engineering and analytical needs. You will be involved in EU-wide strategic projects to drive growth and reduce cost-to-serve working with product managers, data engineers/scientists across many partner teams spanning across Retail/3P, Finance, Tech, Ops and/or your worldwide counterparts. You will be deeply. You will also interact frequently with the EU senior leadership, and you will directly shape the future of this segment.
In this fast-paced environment, the individual should display strong flexibility and work ethic, along with deep business and analytical acumen, with experience working with technology and engineering teams
Key job responsibilities:
- Engage stakeholders in constructive dialogues to convert problem statements into logic problems that can be solved with data and scripting.
- Be integral part of the design process for new initiatives and nascent workstreams. You will apply your business sense to help bring the vision to life.
- Design, develop, and implement scalable, automated processes for big data extraction, processing, and analysis.
- Support the development on new reports/dashboards to inform business reviews, business case modelling for new initiatives, tracking of inputs/outputs, and more emerging strategy efforts.
- Design, build and maintain end-to-end data pipelines to scale and automate our processes.
- Build insights-oriented visualization tools (e.g., Quicksight, Tableau, Excel) to enhance existing ways to empower the team and partner teams.
- Help develop, upskill and empower team members through trainings and efficient knowledge management.
Base qualifications:
- Experience in analysing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modelling, 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 modelling
- Experience with SQL
- Experience in the data/BI space
Top 3 Must Have Skills:
- SQL
- QuickSight
- Pipeline Engineering, ETL, Python