10 of 10 Analytics Jobs in Norfolk

organisatio n. Key Responsibilities: Design, build, and maintain a scalable Azure-based data warehouse that meets thecurrent and future requirements of the Data & Analytics team. Lead the introduction, adoption, and optimisation of Microsoft Fabric (e.g.,Lakehouse, Warehouse, Data Engineering, Pipelines). Apply CI/CD practices (e.g., Azure DevOps ...

organisation. Key Responsibilities: Design, build, and maintain a scalable Azure-based data warehouse that meets the current and future requirements of the Data & Analytics team. Lead the introduction, adoption, and optimisation of Microsoft Fabric (e.g., Lakehouse, Warehouse, Data Engineering, Pipelines). Apply CI/CD practices (e.g., Azure DevOps ...

oriented Junior Data Analyst to join our team. This is an excellent opportunity for someone looking to begin or grow their career in data analytics within a supportive and forward-thinking environment. About the Role As a Junior Data Analyst, you will play a key role in transforming raw data ...

lower-level positions and fully trained Data Analysts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Data Analyst - £67,500 Data Analytics Analyst - £80,000 Business Analysts - £60,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants ...

that will be seen on the front end. Data Analysis for Product Launches : Create, analyse, and act on reports (e.g., from StoQ, Tagalyse, search analytics) to improve product content accuracy, discoverability, and launch processes. Provide actionable insights to relevant departments. System Configuration for Product Data : Create and manage the metafields ...

digital and technology strategies. A strong background leading large, complex technology and change programmes. Expertise across modern technology environments, including cloud platforms, data and analytics, enterprise architecture, and agile delivery. The ability to influence senior stakeholders and communicate effectively with both technical and non-technical audiences. A leadership style that ...

access management processes. Youll help colleagues understand and follow Group Data standards, contributing to better customer outcomes, stronger controls and improved data readiness for analytics and AI. This is a great entry point into data management ideal for someone who enjoys structure, detail and improving how data is understood ...

recognises the limits of own authority within the role Excellent IT skills and an 'eye for detail' Desirable Knowledge of HTML, SEO and web analytics Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary ...

travel as well as major insurance aggregators. About the role The Head of Data Science will lead Pikl’s data science strategy, advanced analytics capability, and decision intelligence roadmap. This is a technical leadership role with a strong emphasis on hands on model development and advanced analytics while building … scaling a high-performing, multidisciplinary team. You will oversee the end-to-end development and deployment of machine learning models and predictive analytics, while also managing the Business Intelligence (BI) and Data Analysis functions. This is a high-impact role requiring a balance of rigorous technical execution and strategic leadership ...

governance is effective. This is a hands-on leadership role where youll make a visible impact on data quality, risk management and AI/analytics readiness. Youll be leading the adoption of metadata, data quality, access management and classification across your domain, while reviewing data quality results, agreeing remediation priorities … well as mentor and support more junior Data Associates Skills and experience were looking for: Proven experience in data management, data quality, or data analytics roles, with exposure to financial services, insurance, or other highly regulated industries. Awareness of the Data-as-a-Product approach and enterprise data lifecycle, with ...