BI Data Analyst

Overview

About the Role An exciting opportunity for a BI Data Analyst with a strong academic background and hands-on industry experience to join a growing data intelligence function within the real estate sector. You'll work on building data-driven products and visualisations that support investment, development, and operational decisions across a portfolio spanning the UK and Europe. This role would suit a second-jobber with at least 2 years' experience in a UK-based company, ideally within finance, or insurance, and a genuine passion for turning data into actionable insight.

Responsibilities

• Analyse large datasets to deliver financial and non-financial insights
• Use SQL and Python to clean, transform, and model data
• Build and maintain Power BI dashboards that communicate insights clearly and effectively
• Collaborate with cross-functional teams to identify business problems and define data solutions
• Develop and maintain scalable, structured data workflows
• Support the design and measurement of KPIs, A/B testing, and data QA processes
• Present findings to both technical and non-technical stakeholders with clarity

Minimum Qualifications

• Master's degree from a recognised UK university (preferably Russell Group) in Data Science, Statistics, Computer Science, Mathematics, or a related STEM subject
• Proficient in advanced SQL and intermediate Python
• Strong experience with Power BI (certification desirable)
• Hands-on knowledge of Google Cloud Platform (GCP) and BigQuery
• Experience manipulating large datasets using tools such as R, or Excel Pivot Tables

Essential Experience (UK-based)

• At least 2 years' experience in a data analytics role within a UK-based company
• Strong background in analysing financial and economic data
• Demonstrated ability to clean, reconcile, and investigate large, complex datasets
• Proven track record of delivering business-focused dashboards and visual insights using Power BI
• Excellent communication and collaboration skills across multi-disciplinary teams