1,151 to 1,175 of 8,435 Analytics Jobs in the UK

quality inspection, as well as automation solutions integrated with SCADA, PLCs, and industrial sensors. Support cross-functional teams by gathering and analyzing manufacturing data, assisting with AI and predictive analytics projects, and helping document system requirements and implementation processes. Building and maintaining Tableau dashboards for real-time insights and participate in technology trials, validations, and report generation. SKILLS AND EXPERIENCE More ❯

Cloud Data Engineering : Manage cloud infrastructure and cost optimization for data processing workloads Implement CI/CD pipelines for data workflows to ensure smooth and reliable deployments. Big Data & Analytics: Build and optimize large-scale data processing pipelines using Apache Spark and PySpark Implement data partitioning, caching, and performance tuning for Spark-based workloads. Work with diverse data formats (structured … and unstructured) to support advanced analytics and machine learning initiatives. Workflow Orchestration (Airflow) Design and maintain DAGs (Directed Acyclic Graphs) in Airflow to automate complex data workflows Monitor, troubleshoot, and optimize job execution and dependencies Team Leadership & Collaboration Lead a team of data engineers, providing technical guidance and mentorship Foster a collaborative environment and promote best practices for coding standards More ❯

and to your career. The opportunity The AI & Data practice works collaboratively with our clients to enhance their ability to solve complex business problems by exploiting data, AI and analytics strategies and solutions. Within our Data Architecture and Engineering pillar we are looking to hire an experienced consultant who can lead cloud data platform pursuits and delivery projects. Your key … of the data requirements and design issues associated with the delivery of data projects • Developing and contributing to business development and go to market activities in the Data and Analytics space. You will lead RFP responses and thought leadership papers • Excellent leadership and interpersonal skills with demonstrable experience of building high performing teams and nurturing talent • Awareness of the emerging More ❯

Your role at Dynatrace What's the role? As a Dynatrace Log Management and Analytics - Solutions Engineer, you will be a key member of the Dynatrace sales engine and will be responsible for providing excellent technical support to the sales team. You will be the expert on Dynatrace and observability, with a specialization in Log Management and Analytics. Within this … ability to work across all disciplines. Excellent communication and presentation skills, with the ability to communicate technical value into business value. Previous 3 - 5 years of experience with log analytics technologies and techniques. Ability to troubleshoot technical issues to produce a working outcome and be able to manage this process. Ability to manage a number of projects simultaneously, work with More ❯

resolved appropriately. To use data to build historical trend analyses and provide reporting. Your Responsibilities and Tasks Monitoring & Incident Detection Implement and manage Azure Monitor, Application Insights, and Log Analytics to track system performance. Set up automated alerts for App Service, SQL Database, and Blob Storage to detect anomalies. Create and maintain synthetic monitoring for proactive issue detection. Establish real … experience. 3+ years’ experience in cloud monitoring, data analysis, or DevOps support. Strong knowledge of Microsoft Azure services (App Service, SQL Database, Blob Storage, Azure Monitor, Application Insights, Log Analytics). Proficiency in KQL (Kusto Query Language) for log analysis. Experience with automation scripting (PowerShell, Python, or Azure Functions). Desirable Familiarity with SIEM tools (Splunk, ELK, Azure Sentinel) Microsoft More ❯

resolved appropriately. To use data to build historical trend analyses and provide reporting. Your Responsibilities and Tasks Monitoring & Incident Detection Implement and manage Azure Monitor, Application Insights, and Log Analytics to track system performance. Set up automated alerts for App Service, SQL Database, and Blob Storage to detect anomalies. Create and maintain synthetic monitoring for proactive issue detection. Establish real … experience. 3+ years’ experience in cloud monitoring, data analysis, or DevOps support. Strong knowledge of Microsoft Azure services (App Service, SQL Database, Blob Storage, Azure Monitor, Application Insights, Log Analytics). Proficiency in KQL (Kusto Query Language) for log analysis. Experience with automation scripting (PowerShell, Python, or Azure Functions). Desirable Familiarity with SIEM tools (Splunk, ELK, Azure Sentinel) Microsoft More ❯

making the world safer by empowering analysts with the right information at the right time. Scope of work: Lead the product development lifecycle for our data and AI-powered analytics features, from conception to launch Create and maintain a strategic product roadmap for our data products aligned with company objectives Gather and prioritize requirements from stakeholders, users, and market research … 5+ years of product management experience, with at least 2 years managing technical or data products through multiple release cycles Strong understanding of data science, machine learning concepts, and analytics capabilities Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn, etc.) Experience with MLOps practices (e.g., model deployment, monitoring, retraining workflows) for operationalizing machine learning models More ❯

making the world safer by empowering analysts with the right information at the right time. Scope of work: Lead the product development lifecycle for our data and AI-powered analytics features, from conception to launch Create and maintain a strategic product roadmap for our data products aligned with company objectives Gather and prioritize requirements from stakeholders, users, and market research … 5+ years of product management experience, with at least 2 years managing technical or data products through multiple release cycles Strong understanding of data science, machine learning concepts, and analytics capabilities Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn, etc.) Experience with MLOps practices (e.g., model deployment, monitoring, retraining workflows) for operationalizing machine learning models More ❯

roadmap updates and industry trends. Data Quality and Reporting Support data governance initiatives and ensure master data quality across Talent systems. Work closely with the Global People Reporting and Analytics team to deliver dashboards, reports, and insights that inform Talent strategy and operations. Promote data-driven decision-making by enabling self-service reporting capabilities where appropriate. Process Improvement and Enablement … control, and support in a complex, multi-region environment. Familiarity with application management practices, ITSM frameworks, and Talent data structures. Experience with reporting tools and dashboard platforms (e.g., People Analytics, Power BI). Personal Skills Strong leadership and team management abilities. Proven experience managing global teams across multiple time zones and cultures. Excellent verbal and written communication skills, with the More ❯

the start of something incredible! What will you be doing? As a Senior Data Scientist, you will be a technical expert in a multidisciplinary team developing advanced AI and analytics solutions for the Insurwave platform. You’ll take full ownership of complex machine learning initiatives, from problem framing and algorithm selection to scalable deployment and monitoring. You will work across … ensuring reliability, performance, and business value Responsibilities Architect and implement state-of-the-art machine learning solutions across use cases including intelligent document processing, risk modelling, and asset behaviour analytics Conduct advanced experimentation and model development, applying deep learning, LLMs, or probabilistic methods as appropriate Build high-performance, production-grade pipelines for data ingestion, feature engineering, model training, and real More ❯

the start of something incredible! What will you be doing? As a Senior Data Scientist, you will be a technical expert in a multidisciplinary team developing advanced AI and analytics solutions for the Insurwave platform. You’ll take full ownership of complex machine learning initiatives, from problem framing and algorithm selection to scalable deployment and monitoring. You will work across … ensuring reliability, performance, and business value Responsibilities Architect and implement state-of-the-art machine learning solutions across use cases including intelligent document processing, risk modelling, and asset behaviour analytics Conduct advanced experimentation and model development, applying deep learning, LLMs, or probabilistic methods as appropriate Build high-performance, production-grade pipelines for data ingestion, feature engineering, model training, and real More ❯

the start of something incredible! What will you be doing? As a Senior Data Scientist, you will be a technical expert in a multidisciplinary team developing advanced AI and analytics solutions for the Insurwave platform. You’ll take full ownership of complex machine learning initiatives, from problem framing and algorithm selection to scalable deployment and monitoring. You will work across … ensuring reliability, performance, and business value Responsibilities Architect and implement state-of-the-art machine learning solutions across use cases including intelligent document processing, risk modelling, and asset behaviour analytics Conduct advanced experimentation and model development, applying deep learning, LLMs, or probabilistic methods as appropriate Build high-performance, production-grade pipelines for data ingestion, feature engineering, model training, and real More ❯

a global, matrixed structure (Technology, Product, Service Delivery, and Client Success) Platform & Tooling Ownership Own the configuration, adoption, and continuous improvement of operational platforms (e.g. ServiceNow ITSM, CSM, Performance Analytics) Lead implementation of new intelligent tooling, including an enterprise chatbot and workflow automation solutions Manage vendor partnerships, platform roadmaps, and budget performance related to tooling and AI capabilities Reporting & Business … global Reporting Centre of Excellence to align data governance, quality, and reporting frameworks AI & Automation Enablement Build and scale a team focused on AI-led operational transformation (e.g. predictive analytics, smart routing, anomaly detection) Partner with data science and engineering teams to embed AI into service delivery workflows and client experience journeys Ensure all AI use cases meet compliance, governance More ❯

help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money. We are thrilled to share that FORTUNE has named Experian … SIEM, vulnerability management, penetration testing). Knowledge of cloud technologies (AWS, Azure). Experience using generative AI (e.g., ChatGPT) for test strategies, reports, and communications. Skills in automation and analytics tools (Excel, Tableau, Alteryx, or PowerBI). Create queries and reports in RSA Archer and ServiceNow. Familiarity with Kanban boards and Jira. Desired Competencies Understanding of cybersecurity principles and organizational More ❯

Deep understanding of merchandising, product strategy, and inventory management. Experience in developing and executing omni-channel strategies. Desirable Familiarity with ecommerce platforms (e.g., Shopify, Magento, Salesforce Commerce Cloud) and analytics tools. Knowledge of digital marketing, CRM, and loyalty programs. Experience in global markets and ecommerce expansion. Personal Attributes Consumer-first mindset with a passion for delivering exceptional experiences. Strategic thinker … skills. Results-oriented, with a focus on driving growth and fostering a high-performance culture. Technical knowledge: Essential: Advanced Excel knowledge, Advanced User of Web Analytic Tools (E.g Google Analytics, Adobe Omniture, Quantum Metric). Preferred: Competent in Data Visualization tools (Eg. Tableau, Power BI). Understanding of Back Office Tools/CMS's (E.g. SAP Hybris, Salesforce, etc). More ❯

Performance Monitoring and Reporting Define, track, and communicate value-driven KPIs, ensuring that product success is measured by its impact on legal service efficiency and client experience. Use data analytics to drive decision-making, continuously refining product strategy based on performance insights. Regularly present insights, progress, and strategic updates to senior leadership and key stakeholders. Resource Planning and Management Develop … negotiate to achieve project goals. Analytical and Problem-Solving Abilities Data-Driven Decision Making: Strong analytical skills to interpret data, identify trends, and make informed decisions. Experience with data analytics tools and techniques. Experience working in a data driven development methodology focused on value metrics and iterative approaches. Innovative Thinking: Ability to generate creative solutions to complex problems. Openness to More ❯

Performance Monitoring and Reporting Define, track, and communicate value-driven KPIs, ensuring that product success is measured by its impact on legal service efficiency and client experience. Use data analytics to drive decision-making, continuously refining product strategy based on performance insights. Regularly present insights, progress, and strategic updates to senior leadership and key stakeholders. Resource Planning and Management Develop … negotiate to achieve project goals. Analytical and Problem-Solving Abilities Data-Driven Decision Making: Strong analytical skills to interpret data, identify trends, and make informed decisions. Experience with data analytics tools and techniques. Experience working in a data driven development methodology focused on value metrics and iterative approaches. Innovative Thinking: Ability to generate creative solutions to complex problems. Openness to More ❯

data collection, analysis and reporting on confidential HR data according to agreed timel ines . Develop and maintain an effective reporting suite alongside a pan-EMEA dashboard for comprehensive analytics and metrics to support the HR strategy and drive a high-performance culture . Able to trouble shoot data and reports, highlighting issues and taking the necessary corrective actions as … required Provide analysis support for ongoing monitoring of all key HR and Reward metrics. Manage the data for the annual pay and monthly business processes including benchmarking, analytics reporting and modelling . Compile and maintain the EMEA compensation database, capturing monthly data from respective payrolls and verifying ongoing data points. Provide appropriate cycle of weekly/monthly/quarterly HR More ❯

Performance Monitoring and Reporting Define, track, and communicate value-driven KPIs, ensuring that product success is measured by its impact on legal service efficiency and client experience. Use data analytics to drive decision-making, continuously refining product strategy based on performance insights. Regularly present insights, progress, and strategic updates to senior leadership and key stakeholders. Resource Planning and Management Develop … negotiate to achieve project goals. Analytical and Problem-Solving Abilities Data-Driven Decision Making: Strong analytical skills to interpret data, identify trends, and make informed decisions. Experience with data analytics tools and techniques. Experience working in a data driven development methodology focused on value metrics and iterative approaches. Innovative Thinking: Ability to generate creative solutions to complex problems. Openness to More ❯

an exciting opportunity to be part of a growing Data Science function that plays a critical role in shaping the Brigade's strategic decision-making. You will deliver advanced analytics, forecasting, and machine learning projects that address complex challenges, improve services, and help us keep London safe. You will contribute to the development and implementation of AI and data-driven … to-date CV and provide evidence to address the following selection criteria: 1. Demonstrable experience of working within a large, complex organisation in a data science or complex data analytics function. 2. Experience using advanced programming languages (either Python or R) and Power BI to undertake complex organisational analysis (e.g. modelling, forecasting). 3. Experience "story-telling" with data to More ❯

ensuring effective data collection, analysis and reporting on confidential HR data according to agreed timelines. Develop and maintain an effective reporting suite alongside a pan-EMEA dashboard for comprehensive analytics and metrics to support the HR strategy and drive a high-performance culture. Able to trouble shoot data and reports, highlighting issues and taking the necessary corrective actions as required … Provide analysis support for ongoing monitoring of all key HR and Reward metrics. Manage the data for the annual pay and monthly business processes including benchmarking, analytics reporting and modelling. Compile and maintain the EMEA compensation database, capturing monthly data from respective payrolls and verifying ongoing data points. Provide appropriate cycle of weekly/monthly/quarterly HR reports and More ❯

Role We are looking for a driven and detail-oriented Business Intelligence (BI) Analyst to join our growing team. This is an exciting opportunity for someone early in their analytics career who is looking to make a meaningful impact by helping Zego make data-informed decisions across the business. You'll work with teams across the company to ensure data … specific questions, solve problems, or test hypotheses - from customer behaviour to operational performance. Translate data into clear and actionable insights using visual and written communication. Data Collaboration: Work alongside analytics engineers and data engineers to ensure datasets are usable and well-documented. Provide feedback to improve data pipelines and model definitions in tools like dbt. Stakeholder Support: Collaborate with business More ❯

Role We are looking for a driven and detail-oriented Business Intelligence (BI) Analyst to join our growing team. This is an exciting opportunity for someone early in their analytics career who is looking to make a meaningful impact by helping Zego make data-informed decisions across the business. You'll work with teams across the company to ensure data … specific questions, solve problems, or test hypotheses - from customer behaviour to operational performance. Translate data into clear and actionable insights using visual and written communication. Data Collaboration: Work alongside analytics engineers and data engineers to ensure datasets are usable and well-documented. Provide feedback to improve data pipelines and model definitions in tools like dbt. Stakeholder Support: Collaborate with business More ❯

and parameters that affect their performance experience. Experience applying theoretical models in an applied environment. Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. 5+ years of More ❯

resolved appropriately. To use data to build historical trend analyses and provide reporting. Your Responsibilities and Tasks Monitoring & Incident Detection Implement and manage Azure Monitor, Application Insights, and Log Analytics to track system performance. Set up automated alerts for App Service, SQL Database, and Blob Storage to detect anomalies. Create and maintain synthetic monitoring for proactive issue detection. Establish real … experience. 3+ years’ experience in cloud monitoring, data analysis, or DevOps support. Strong knowledge of Microsoft Azure services (App Service, SQL Database, Blob Storage, Azure Monitor, Application Insights, Log Analytics). Proficiency in KQL (Kusto Query Language) for log analysis. Experience with automation scripting (PowerShell, Python, or Azure Functions). Desirable Familiarity with SIEM tools (Splunk, ELK, Azure Sentinel) Microsoft More ❯