2 of 2 Business Intelligence Jobs in Reigate

for those who are looking to progress into the world of Data Science or Analytical Engineering. What you’ll do: Conduct deep-dive analysis to generate insights that drive business decisions and performance. Work closely with collaborators from different departments in cross-functional agile teams. Extract, analyse and present data to both technical and non-technical audiences. Create and … automate business intelligence dashboards, enabling self-serve reporting. Define meaningful metrics and KPIs, and build tracking frameworks across teams. Partner with product, engineering, AI and data science teams to accelerate development. Work with architects to design data products, test new tools, and support ML/AI workflows. Ensure data quality, integrity and consistency across multiple sources. Thrive in … in data visualisation with tools such as Tableau or Power BI. Confident writing efficient code and troubleshooting sophisticated queries. Clear and adaptable communicator, able to explain technical topics to business audiences and translate business needs for product teams. Skilled in team collaboration and exhibits good interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an More ❯

data modelling, with a strong track record of designing and implementing complex dimensional models, star and snowflake schemas, and enterprise-wide canonical data models Proficiency in converting intricate insurance business processes into scalable and user-friendly data structures that drive analytics, reporting, and scenarios powered by technology Extensive experience designing fact and dimension tables across domains such as policy … quote, claims, pricing, and fraud, ensuring consistency and alignment with business metrics … Deep practical knowledge of semantic layer design and implementation using DBT, SQL, and Delta Live Tables Strong background in building high-performance, scalable data models that support self-service BI and regulatory reporting requirements Direct exposure to cloud-native data infrastructures (Databricks, Snowflake) especially in AWS environments is a plus Experience in building and maintaining batch and streaming data pipelines More ❯