Business Intelligence Engineer II 12 month Location: London – hybrid Pay Rate: £500 per day Inside IR35 Key Skills: Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc and experience in Groceries / Retail sector Job summary: Do you enjoy transforming data into actionable insights and taking data-driven approach to solving complex business problems? My client is looking for a pro-active Business Intelligence Engineer with strong technical and analytical skills for 12m placement. While the role is based in UK / CEU, the individual’s main responsibility will be to help build new / scale existing data artefacts to accelerate the growth of our Japan and Singapore business. Responsibilities: Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs. Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our business needs. Participate in developing client BIE roadmaps (APAC focussed). Interface directly with customers and stakeholders, gathering requirements and supporting end-to-end reporting solutions. Participate in developing department KPI’s and operational metrics to drive improvements in automation and robotics projects Develop complex queries for ad-hoc requests and projects, as well as ongoing reporting. Deep dive into large data sets to answer key business questions using SQL, Excel, and other data manipulation languages. Maintain data integrity, perform QA Audits and diligently troubleshoot issues. Continually improve ongoing reporting and analysis processes, while automating or simplifying self-service support and access to authoritative data sets. Generate daily, weekly, and monthly data reports for both internal and external business reviews. -Respond with urgency to high priority requests from senior business leaders. 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 one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with SQL Experience in the data/BI space Preferred Qualifications: Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Experience in Groceries / Retail sector If you’re interested please apply or send your CV to luke.sandilandscpl.com