776 to 800 of 7,064 Analytics Jobs in the UK

Lead architectural discussions and design sessions with stakeholders, ensuring solutions align with NHS requirements and best practices. Develop end-to-end data solutions leveraging Azure services, including Azure Synapse Analytics, Azure Data Factory, Databricks, and Azure SQL. Define data models, integration patterns, and governance frameworks to ensure efficient data management, interoperability, and compliance. Drive cloud migration strategies for NHS data … and design authority forums. Key Skills & Experience: Proven experience in architecting Azure data solutions, particularly in NHS or healthcare settings. Expertise in Azure Data Services, such as: Azure Synapse Analytics Azure Data Factory Azure Databricks Azure SQL & Cosmos DB Azure Purview (for Data Governance) Azure Blob Storage & Data Lake Azure Event Hubs & Streaming Analytics Hands-on experience with data integration … management skills, with the ability to liaise between clinicians, vendors, and technical teams. Desirable: Experience with hybrid data solutions, integrating on-premise and cloud data architectures. Background in data analytics, machine learning, and AI-driven insights for healthcare applications. Knowledge of NHS Digital initiatives, including Shared Care Records, the NHS App, and Population Health projects. Certifications in Azure Data Architecture More ❯

Lead architectural discussions and design sessions with stakeholders, ensuring solutions align with NHS requirements and best practices. Develop end-to-end data solutions leveraging Azure services, including Azure Synapse Analytics, Azure Data Factory, Databricks, and Azure SQL. Define data models, integration patterns, and governance frameworks to ensure efficient data management, interoperability, and compliance. Drive cloud migration strategies for NHS data … and design authority forums. Key Skills & Experience: Proven experience in architecting Azure data solutions, particularly in NHS or healthcare settings. Expertise in Azure Data Services, such as: Azure Synapse Analytics Azure Data Factory Azure Databricks Azure SQL & Cosmos DB Azure Purview (for Data Governance) Azure Blob Storage & Data Lake Azure Event Hubs & Streaming Analytics Hands-on experience with data integration … management skills, with the ability to liaise between clinicians, vendors, and technical teams. Desirable: Experience with hybrid data solutions, integrating on-premise and cloud data architectures. Background in data analytics, machine learning, and AI-driven insights for healthcare applications. Knowledge of NHS Digital initiatives, including Shared Care Records, the NHS App, and Population Health projects. Certifications in Azure Data Architecture More ❯

design, programme management, engineering, and more. About the role As Head of Data Management & Insight, you will lead the AFRS Insight Hub, driving the design and implementation of data analytics and reporting solutions that deliver meaningful insight and value to the organisation. Working closely with senior leaders and stakeholders, you'll translate business needs into data-driven strategies that support … recruitment and performance optimisation. You'll provide strategic leadership across MI, BI, and analytics, ensuring data is managed as a valuable asset while supporting robust governance frameworks. With a focus on innovation, you'll establish functional roadmaps, develop self-service reporting capabilities, and create high-quality data solutions that inform operational, contractual, and strategic decision-making across AFRS and its … intuitive dashboards, reports, and analytical models to provide actionable insight, using iterative engagement with business teams. Evaluate and recommend the most effective and cost-efficient approach to reporting and analytics delivery, including internal resources or third-party support. Promote self-service reporting by coaching stakeholders and enhancing organisational data literacy and capability. Collaborate with IT, digital, and business teams to More ❯

See details of the role below . A national business based with offices in Central Manchester and Leeds are looking for a Senior Data Analyst to join their data analytics and modelling team. This is the perfect opportunity for an ambitious analyst! Responsibilities for the role are as follows: The successful candidate will have a strong track record developing and … applying modelling and data analytics solutions, in addition to exceptional experience of developing and applying data systems to pull together disparate datasets. Experience of planning and managing projects/programmes of work, developing and managing script for repeatable analysis along with the use of statistical techniques to find trends and insight from data is essential. You must have the ability More ❯

strategies with business objectives. Market & Competitor Analysis: Research industry trends and competitor strategies to identify opportunities for cost-effective media investments. Required Skills & Qualifications: Proven experience in paid media analytics, financial modelling, and digital advertising. Strong proficiency in Excel, Google Analytics, and media buying platforms (Google Ads, Meta Ads, etc.). Ability to interpret complex financial data and translate insights More ❯

continues to break records across countries, channels, and categories and to scale at pace. About the role We are seeking a talented Lead Business Intelligence Analyst to join our Analytics team within the Data department. This role will have line management responsibilities, and will be responsible for leading the delivery of Business Intelligence across the company. The successful candidate will … play a pivotal role in ensuring that we have the right data, visualisations, insights, and analytics to support the growth of our business. As Lead BI Analyst you will Lead the development and delivery of our Business Intelligence strategy Develop and maintain key BI metrics, dashboards and reports that provide insights across Digital, Finance, Commercial, Supply Chain and other core More ❯

5G, etc.) and identify opportunities to adopt and test new technologies. Architecture & Systems Integration Architect connected systems that link our kinetic and solar hardware with backend infrastructure and data analytics platforms. Design and oversee edge and cloud infrastructure for real-time and asynchronous data processing. Ensure scalable, secure, and robust system design that supports our ambitions globally. Software, Data & AI … Lead software development efforts—from firmware and scripting to platform development and UX/UI integration. Shape our data strategy: from sensor collection, cleansing, and ingestion, to analytics, visualisation, and client reporting. Explore and implement AI/ML capabilities and predictive analytics to provide deeper insights and value to customers. Leadership & Delivery Build and lead a high-performing technical team More ❯

in our Ipswich Head Office. This is an exciting and varied position responsible for designing, developing, and maintaining the data architecture that underpins our organisation's business intelligence and analytics platforms. This role plays a key part in ensuring data is accurate, accessible, secure, and structured to support enterprise decision-making, reporting, and performance insights. Key Responsibilities include: Design and … implement scalable data architecture to support BI and analytics initiatives. Develop and maintain data models (conceptual, logical, and physical) for BI platforms. Lead the design of data integration strategies, data warehouses, data lakes, and ETL processes. Support migration to cloud-based data platforms and advise on architecture best practices. Oversee the development and optimisation of dashboards, reports, and self-service … analytics tools. Developing and enhancing data collection procedures to include information that is relevant for building analytic systems, utilising tools such as WhereScape, Azure Synapse, Snowflake, AWS Redshift. Monitoring performance and advising any necessary infrastructure changes, utilising BI tools such as Qlik Sense Cloud, Power BI, or Tableau, as well as the AI, ML, and NL tools available in Fabric. More ❯

Associate Sr at JPMorgan Chase within the International Consumer Bank , youserve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintainingcritical data pipelines and architecturesacross multiple technical areas within various business functionsin support of thefirm … Experience in taking open ended business questions, then use big data and statistics to create analysis that can provide an answer to the questions at hand. Experience with customer analytics such as user behavioral analysis, campaign analysis, etc. Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data. Ability More ❯

opportunities for staff to develop personally and professionally. As a Trust we are determined to be at the forefront of change, using tools such as machine learning and predictive analytics in the next stages of our journey. We offer hybrid working arrangements following a qualifying period, providing flexibility alongside this impactful role with a friendly and supportive team. This job … duties of the job The position available is a Divisional Information Manager in the Medicine & Urgent Care Analytical Team . The team provides accurate, concise and clear information and analytics to the division to support its strategic objectives. The ideal candidate will have strong analytical capabilities, along with the ability to effectively communicate and present complex information to a range … pressure, and manage conflicting priorities for the team. See the attached job description for further information. About us Our multi-award winning BI Team aim to use data and analytics to make a real difference to the healthcare of the Gloucestershire population. Gloucestershire Hospitals is dedicated to nurturing the growth and potential of its staff. Within the BI team, regular More ❯

will enjoy the challenge of pivoting between ad-hoc pieces of analysis, reporting enhancement, new builds, as well as working on long-term strategic projects to enhance the BI & Analytics capabilities in Amazon. Minimum Qualifications 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. experience 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 scripting language (e.g., Python, Java, or R) Master's degree or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, correlation analysis Our inclusive culture empowers Amazonians to deliver the best More ❯

My client is based in the London area and is currently looking to recruit an experienced Fabric Analytics Engineer to join their team. They are one of the leaders within the Insurance space. They are currently going through a period of growth and are looking for an experienced Data Engineer to join their team. They are backed by a huge … utilise the most in-demand and cutting-edge technology on the market right now. Your role will include: Collaborate closely with stakeholders to understand and interpret their data and analytics needs. Design and deploy end-to-end data solutions using Microsoft Fabric, encompassing data ingestion, transformation, and visualisation workflows. Construct and refine data models, pipelines, and ETL frameworks within the More ❯

My client is based in the London area and is currently looking to recruit an experienced Fabric Analytics Engineer to join their team. They are one of the leaders within the Insurance space. They are currently going through a period of growth and are looking for an experienced Data Engineer to join their team. They are backed by a huge … utilise the most in-demand and cutting-edge technology on the market right now. Your role will include: Collaborate closely with stakeholders to understand and interpret their data and analytics needs. Design and deploy end-to-end data solutions using Microsoft Fabric, encompassing data ingestion, transformation, and visualisation workflows. Construct and refine data models, pipelines, and ETL frameworks within the More ❯

training, hands-on support, and proactive troubleshooting to maintain system performance and adoption. As MES deployment scales, the role must remain adaptable to new requirements, evolving technologies, AI-driven analytics, and cross-functional collaborations -both within Crown and with partner companies. The role also demands the ability to work under tight deadlines in a dynamic factory environment , balancing the simultaneous … opportunities in manufacturing processes. Collaborate with software developers, digital transformation teams, and factory engineers to design and implement innovative solutions. Research and introduce new digital technologies, including AI-driven analytics, predictive maintenance solutions, and process automation enhancements. Project Management & Coordination Plan and coordinate MES deployment projects, ensuring timely execution across multiple manufacturing sites. Maintain effective communication with Crown Operations, stakeholders … and optimize PLC code for data collection, automation control, and troubleshooting. Industrial Networking & Protocols: Proficiency in OPC UA, Profinet, Modbus, Ethernet-IP for seamless communication between industrial devices. Data Analytics & Visualization: Experience using Power BI, SQL, Python, and C# to develop data-driven insights from automation systems. Machine Connectivity & IIoT: Strong understanding of IoT sensors, vision systems (Keyence), and conveyor More ❯

looking for a Head of Scientific Compute to shape the future of computational research by leading the development of cutting-edge infrastructure to support high-performance computing, AI-driven analytics, and large-scale data processing. Working at the intersection of genomics, synthetic biology, and chemistry, you'll collaborate with researchers and technical teams to design tailored computational solutions, ensuring compliance … Key Responsibilities: Lead the development and implementation of a strategic vision for scientific computing, integrating advanced technologies to support large-scale data processing, high-performance computing, and AI-driven analytics in genomic research. Oversee and manage the scientific computing infrastructure, ensuring it meets the evolving needs of computational biology, data analysis, and laboratory automation across diverse research programs. Collaborate closely … experience of a breadth of software development, architecture and implementation. Extensive experience in managing scientific computing environments, including expertise in high-performance computing, cloud computing, and large-scale data analytics within a research context. Proven track record of leading and managing complex computational projects, ensuring efficiency, scalability, and reproducibility in data analysis workflows. Demonstrated ability to build and lead multidisciplinary More ❯

My client is based in the London area and is currently looking to recruit an experienced Fabric Analytics Engineer to join their team. They are one of the leaders within the Insurance space. They are currently going through a period of growth and are looking for an experienced Data Engineer to join their team. They are backed by a huge … utilise the most in-demand and cutting-edge technology on the market right now. Your role will include: Collaborate closely with stakeholders to understand and interpret their data and analytics needs. Design and deploy end-to-end data solutions using Microsoft Fabric, encompassing data ingestion, transformation, and visualisation workflows. Construct and refine data models, pipelines, and ETL frameworks within the More ❯

why it is right at the top of our agenda. Delivering it is going to require a fundamental reshaping of the BBC's culture and how we work. Product Analytics are at the forefront of understanding how our audiences interact with our brand, working to create richer, more personalised experiences that our audiences love. As a Lead Product Analyst you … Two stage interview process. - Virtual interview for short-listed candidates - approx. one hour of competency and values-based questions - Presentation task Main Responsibilities Reporting to the Head of Product Analytics, you will: • Be jointly responsible for defining and implementing Product Analytics' strategy, in collaboration with teams and leadership across Data, Engineering, Architecture and Product • Grow and lead a diverse team … and the ability to translate technical information for non-technical audiences at all levels of the organisation • Ability to think strategically and a passion for producing high-quality, accurate analytics deliverables • Ability to build and maintain strong working relationships with colleagues and stakeholders across multiple disciplines, managing expectations of senior colleagues and navigating conflicting priorities and pressures • High levels of More ❯

build self-serve dashboards that inform smarter decisions allowing teams to remain agile. Build and refine insight-led models that support activities such as forecasting, segmentation, retention, predictive visit analytics, and guest lifetime value analysis. ✅ Must have requirements: Strong proficiency in SQL Min. 4-5 years' experience in analytics, with a strong focus on customer insight, commercial impact and stakeholder More ❯

build self-serve dashboards that inform smarter decisions allowing teams to remain agile. Build and refine insight-led models that support activities such as forecasting, segmentation, retention, predictive visit analytics, and guest lifetime value analysis. ✅ Must have requirements: Strong proficiency in SQL Min. 4-5 years' experience in analytics, with a strong focus on customer insight, commercial impact and stakeholder More ❯

at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Our Networking Analytics vision is to provide our customers a flawless experience when utilizing the network. With one of the Earth's largest networks, at our scale, unfortunately, there is always something breaking … with our external customers being all retail/paying customers of AWS. The network is the core of AWS with this role critical to improve our customer experience. Networking Analytics is looking for an experienced Data Scientist to be a part of a team solving complex data processing problems generating latency insights (building using big data, ML and potentially AI … teams can take to reduce or prevent the impact for our customers as we continue to mitigate impact. The ideal candidate will have extensive experience in science work, business analytics and have the aptitude to incorporate new approaches and methodologies while dealing with ambiguities in sourcing processes. Excellent business and communication skills are a must to develop and define key More ❯

We are seeking a highly skilled and motivated Data Scientist, leading the design, development, and implementation of advanced data science solutions within the Lancashire & South Cumbria Secure Data Environment analytics and research teams. In this role, you'll play a critical part in shaping and advancing the Real World Evidence (RWE) strategy, with a strong focus on data transformation using … use of ETL and data management tools. Working closely with clinical, operational, and research stakeholders, you'll lead efforts to transform and standardise complex healthcare datasets, enabling high-quality analytics, research, and innovation. To succeed, you'll bring deep expertise in data engineering, statistical modelling, and SQL-based transformation frameworks, along with experience delivering actionable insights from real-world clinical … lead in relation to all aspects of analysis and reporting. Responsible for integrating, transforming, and consolidating data from various structured and unstructured data systems into structures suitable for building analytics solutions. Responsible for helping stakeholders understand data through exploration, building and maintaining secure and compliant data processing pipelines using different tools and techniques. Data science representative at appropriate meetings Lead More ❯

to support the modernisation of multi-channel contact centre operations, workforce management, and reporting capabilities. The role requires a deep understanding of telephony, CRM systems, workflow automation, and performance analytics, ensuring business needs are translated into effective, scalable solutions. Key Responsibilities Multi-channel contact centre and workforce management Define and document detailed requirements for multi-channel customer interaction platforms, including … technologies and automated transcription systems. Performance metrics Success in this role will be measured by: Operational efficiencies, ensuring smoother workflows and improved system integrations. Data-driven decision-making, leveraging analytics to enhance performance and resource management. Process improvements, driving automation and optimising customer interaction handling. You may also have experience in the following: Business Analyst, BA, Data Analyst, Business Analysis More ❯

delivering infrastructure projects in a media, broadcast, or technology environment is a strong advantage. Preferred Skills (Nice to Have) Data literacy (e.g., SQL, Tableau, Power BI, R, Smartsheet, Adobe Analytics, Google Analytics, AWS Redshift/Timestream). Experience in production engineering. Knowledge of SaaS tools, endpoint management, identity governance, or content management systems More ❯

delivering infrastructure projects in a media, broadcast, or technology environment is a strong advantage. Preferred Skills (Nice to Have) Data literacy (e.g., SQL, Tableau, Power BI, R, Smartsheet, Adobe Analytics, Google Analytics, AWS Redshift/Timestream). Experience in production engineering. Knowledge of SaaS tools, endpoint management, identity governance, or content management systems More ❯

SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data insights to non-technical stakeholders. Willingness to take ownership of analytics projects and drive them from ideation phase to product delivery. What will make you stand out: Experience working in an analytics role in the gambling industry. Experience with CRM data More ❯