2,151 to 2,175 of 5,529 Analytics Jobs in the UK

troubleshooting and liaise with Bob support for issue resolution. Manage onboarding and offboarding processes across HR platforms. Prepare and manage data feeds for workforce planning. Generate HR reports and analytics to support leadership decisions. Conduct complex data analysis using Excel and visualisation tools like Power BI and Tableau. The role offers a competitive package of up to £85,000 p.a. More ❯

technical knowledge and experience in one or more of the following: Data Management practices and Data Management tools (Cloud native or other) e.g. Collibra, Snowflake; Google's Dataplex Data Analytics practices and tools AI Governance Frameworks, laws and regulations (including intersection with data privacy laws and regulations) Understanding of emerging AI technologies and practices Technical skills might be demonstrated by More ❯

to own and enhance core data flows that underpin critical business applications.You’ll play a central role in maintaining data quality, integrating systems, and ensuring data is accessible for analytics and decision-making across the business. The role involves close collaboration with stakeholders and offers the chance to contribute to both operational processes and strategic projects. Key Responsibilities: Take ownership More ❯

Xirgo Technologies offers a complete portfolio of proprietary supply chain monitoring and management technology to convert IoT data from information to insights - enabling the smartest telematics data analytics solutions. About the role Join us at the forefront of innovation, where technology and business strategy converge. We are seeking a results-driven leader to deliver complex full-stack IoT programs and More ❯

and standards of the project in line with customer’s business requirement. Working on Data Management and end-to-end Data Architecture (extraction, ingestion, integration, transformation, virtualisation, visualisation, BI & analytics, MDM) and Data Governance (Lineage, Meta Data Management & Data Catalogs, Data Quality) activities. Supervising other team members for any technical solution as and when needed as part of enhancement and More ❯

signal processing Sensor fusion and multi-sensor tracking Distributed sensing systems or edge ML Autonomy and human-machine teaming Space-domain awareness (SDA) Navigation, positioning, and timing systems Behavioural analytics or pattern of life modelling Why Apply? Join a cutting-edge AI research team with real-world impact Work across defence, national security, and emerging commercial technologies Collaborate with leading More ❯

waste. SUEZ Digital Solutions, a SUEZ subsidiary, is committed to improve the environmental and economic performance of water & waste industries by leveraging the expertise of SUEZ Group through data analytics and AI. The 700+ experts of SUEZ Digital Solutions design, develop, deploy smart water, and smart waste solutions worldwide. More ❯

innovative IT risk monitoring solutions. Partner with first and second line of defence stakeholders, including risk managers and security leads to effectively address ICT and security risks. Leverage data analytics to revolutionize compliance assurance. Drive continuous improvement in our Assurance Program. Stay up to date with emerging threats, regulations and their impact on IT assurance. BASIC QUALIFICATIONS Experience in compliance More ❯

We are seeking an exceptional Business Analyst to drive analysis and insights to help our teams make meaningful business decisions. The successful candidate will possess a strong passion for analytics, setting high standards, accuracy and staying ahead of a dynamic and fast growing business. You should have excellent business and communication skills to be able to work with business owners More ❯

ideas and technology. We seek creative collaborators who adapt, evolve, and thrive in a fast-paced global environment. As a Marquee Sales Strategist, you will develop models to generate analytics that enhance client service, partnering with traders, salespeople, and strategists across asset classes to promote platform adoption and deliver relevant, timely content. Key technologies include Python, Jupyter, Pandas, Trino, and More ❯

coordination and execution of these projects. To that end, you will be in regular communication with the leadership team on results and strategy updates, risks, and iterations. Solid data analytics, cross-team coordination, product management, problem-solving and executive communication skills and exercising good judgement are core to this role. Key job responsibilities • Gather and analyze key local customer insights More ❯

waste. SUEZ Digital Solutions, a SUEZ subsidiary, is committed to improve the environmental and economic performance of water & waste industries by leveraging the expertise of SUEZ Group through data analytics and AI. The 700+ experts of SUEZ Digital Solutions design, develop, deploy smart water, and smart waste solutions worldwide. More ❯

practices and new tools in product management Person specification Ideal candidates will have: Experience in developing and releasing digital products using agile methodologies Understanding of disciplines like engineering, UX, analytics, and data science Experience engaging with users and turning insights into improvements Stakeholder management skills to deliver user-centered products Excellent communication skills for influencing and reconciling stakeholder needs Ability More ❯

delivery. Deep understanding of Risk Based approaches and its impact with Data Management/Site monitoring operationally – consider the role of both Data Management and Site Management, Statistics and Analytics to layer to the model which will deliver studies with an appropriate risk-based approach, e.g.. reduced SDV etc Develop and document standard operating procedures (SOPs) for data management activities More ❯

meetings, industry events, and marketing initiatives. Establishing thought leadership , writing blogs, publishing articles, and presenting at external events. What you'll need to succeed Expertise in data warehousing, cloud analytics, and modern data architectures (Snowflake, Databricks, Matillion, Power BI, or similar). Proven ability to engage and influence senior stakeholders , providing strategic guidance and technical leadership. Strong consulting and client More ❯

with ideas and technology. We seek creative collaborators who adapt and thrive in a fast-paced global environment. As a Marquee Sales Strategist, you will design models to generate analytics for Goldman Sachs, aiding in better client service. You will work closely with Traders, Salespeople, and Strats across asset classes to produce insights that promote platform adoption and deliver relevant More ❯

new skills are essential to thrive in our fast-paced multi-disciplinary environment. Company: Signal Qualifications: Essential skills and qualifications: MSc or PhD in a field related to Text Analytics (e.g. natural language processing, information retrieval, machine learning or similar), or equivalent commercial experience; Detailed knowledge of one or more of the following fields: Entity Recognition and Disambiguation Concept/ More ❯

shape the company’s presence in the data and AI space. Required experience: A broad understanding of modern and emerging data/AI technologies across architecture patterns, data platforms, analytics, and machine learning. Demonstrated experience designing, building, and deploying enterprise-scale, data-intensive applications—preferably across distributed systems. Proven ability to lead architecture for cloud-native solutions, using at least More ❯

shape the company’s presence in the data and AI space. Required experience: A broad understanding of modern and emerging data/AI technologies across architecture patterns, data platforms, analytics, and machine learning. Demonstrated experience designing, building, and deploying enterprise-scale, data-intensive applications—preferably across distributed systems. Proven ability to lead architecture for cloud-native solutions, using at least More ❯

shape the companys presence in the data and AI space. What Youll Bring A broad understanding of modern and emerging data/AI technologies across architecture patterns, data platforms, analytics, and machine learning. Demonstrated experience designing, building, and deploying enterprise-scale, data-intensive applicationspreferably across distributed systems. Proven ability to lead architecture for cloud-native solutions, using at least one More ❯

represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced in securing work through More ❯

in IC product engineering, with a focus on optoelectronic devices or SPADs. Hands-on experience with ATE and bench-level debugging tools and methods. Experience in yield monitoring, data analytics, and production ramp support. In-depth understanding of automotive qualification processes, including AEC-Q100. Familiarity with SPAD technologies and their application in LIDAR or imaging systems is highly desirable. Proficient More ❯

and Infrastructure/Information Systems). It will cover analysis, monitoring, reporting, alerting and investigation activity utilising a wide variety of security platforms including AI/ML and behavioural analytics, SIEM (Security Information Event Management), Network Packet Capture platform, Anti Malicious Code, Threat Detection technologies and platforms across the UK Network Perimeter working with the best standard technologies. The SOC More ❯

renewable energy sector. Our vision is to build a more efficient future by becoming the world's most innovative provider of predictive technology solutions. Our advanced sensing, software and analytics combined with our engineering experience are deployed on wind turbines around the world to maximise production and make turbines more reliable for longer, optimising energy production. ONYX Insight is part More ❯

driven build automation tools that leverage machine learning algorithms to optimize and predict release pipeline cycles, enhancing efficiency and accuracy across the CI/CD process. Experience with predictive analytics for CI/CD , enabling proactive identification of potential bottlenecks or failures in the release pipeline to minimize delays and ensure smoother deployments. Knowledge of AI-enhanced release strategies , utilizing More ❯