Business Intelligence Engineer

Job Title: Business Intelligence Engineer
Pay Rate: £450 to £570 Per day + Holiday Pay (PAYE)
Location: London office - Hybrid working with 3 days in the office and 2 days working from home
Start: ASAP
Expected duration: 6 months with a possibility to extend
Our client is one of the world's largest tech companies. Their workforce Staffing team is on the lookout for an experienced business intelligence engineer. The ideal candidate will have experience in data visualisation and knowledge of relevant tools such as Tableau, Power BI or a similar tool, and also have an advanced knowledge of coding using SQL.
The Business Intelligence Engineer will be responsible for creating the proper data modelling necessary to facilitate reporting and analytics, identifying new data sources, and building out comprehensive data visualizations for key stakeholders. The role will be part process improvement, part analytics, part data modelling, and part strategic design.
The role will support an EU surface transportation marketing team. You will be a key contributor to shaping the strategic innovation program by equipping the project teams with the insights into the operation performance of surface transportation customer acquisition.
Key responsibilities

• Analysis of business requirements and translation into technical requirements considering stability and scalability system
• Independent realisation of requirements for Business Intelligence and custom software development products
• Creation of test cases and guidance of business stakeholders within the testing process
• Presentation of solutions and implemented features within weekly sync up with business stakeholders
• Ownership of maintenance and error handling of deployed solutions
• 1 - 2 main projects in parallel
• Focus on project delivery

Requirements

• Bachelor's degree in computer science, Statistics, Finance, Mathematics, or related quantitative field, or equivalent experience
• 4 to 6 years of relevant work experience in a BI and/or Statistics role
• Advanced knowledge of SQL and ability to write complex SQL queries
• Experience with data visualization tools such as Tableau, Power BI, Qlik. QuickSight or other relevant data visualization software.
• Knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/analytic tools and environment.
• Strong verbal/written communication and data presentation skills, including the ability to effectively communicate with both business and technical teams.
• Able to work in a diverse team