76 to 100 of 720 Analytics Jobs in Central London

building consensus Skilled at driving organizational change and managing adoption of new technologies Additional Valued Experience Vendor and tool evaluation expertise Data-driven decision making using metrics, KPIs, and analytics Change management experience including training programme development Innovation mindset with experience running proof-of-concepts and hackathons Understanding of build-vs-buy decisions and total cost of ownership analysis Please More ❯

PostgreSQL, and MySQL, ensuring reliability, performance, and cost efficiency. Develop and automate data workflows, including ingestion, transformation, and orchestration pipelines, with Infrastructure as Code and DevOps methodologies. Collaborate with analytics, application, and AI/ML teams to integrate Azure technologies into advanced data and intelligence solutions (e.g. Azure Foundry, Cognitive Services, and Search). Champion FinOps and cost optimisation, applying More ❯

ability to manage multiple priorities Skills we’d love to see/Amazing Extras: Accounting or tax qualification such as ACCA, ACA, or CTA or equivalent Experience in data analytics and visualisation tools (e.g. Alteryx, Power BI or Tableau) Experience in tax technology solution implementation and configuration Familiarity with AI and machine learning applications in tax technology To discuss this More ❯

success in selling Microsoft solutions to the public sector Strong understanding of the public sector landscape and the challenges and opportunities faced by government agencies Deep knowledge of data analytics and related technologies, including cloud computing, artificial intelligence, and machine learning Excellent communication, presentation, and negotiation skills Proven leadership ability, with a track record of building and motivating high-performing More ❯

Qualifications • 6–10 years of experience in applied data science, machine learning, or analytics leadership. • Strong understanding of model lifecycle management, experimentation frameworks, and data science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g. More ❯

pipeline development, and ensuring accuracy and governance across complex datasets. What you’ll bring Proven experience with Power BI , SQL , and Python Strong understanding of data architecture, governance, and analytics A hands-on approach to building high-quality reporting solutions Experience in financial services or investment management is a plus Familiarity with Microsoft Fabric – nice to have but not essential More ❯

plus - Experience with Native HANA SQL scripting - Experience with operation and support of BW DTO or archiving IQ NLS, and HANA NSE for data volume management. - Experience with Embedded Analytics and CDS Views customization - Experience with Data replication tools like SLT , BODSis a plus More ❯

documentation Communicate complex concepts to all stakeholders. At least 3 years of experience in AI solution engineering. Large Language Models experience including prompt engineering and RAG implementations. Expert data analytics, MLOps practices and API development. Desirable knowledge in Docker and Kubernetes More ❯

Join our client, a prominent insurance company in London, as a permanent Qlik Developer within their Data Quality & Analytics team. In this role, you will design and deliver impactful dashboards and analytic solutions using Qlik, working closely with stakeholders to turn complex data into actionable insights. You’ll support best practices in data visualisation, data quality, and user training, ensuring More ❯

a national household retailer. This role is virtually remote, with 2-3 days a month required to attend their UK HQ. Reporting into the Director of Customer Insights & Data Analytics, you will: Create and manage their suite of dashboards, to help facilitate the business to get closer to their customers, informing business strategy and decision making. Help and lead the More ❯

Data Engineer Salary: Up to £60,000 I am working with a forward-thinking organisation that is modernising its data platform to support scalable analytics and business intelligence across the Group. With a strong focus on Microsoft technologies and cloud-first architecture, they are looking to bring on a Data Engineer to help design and deliver impactful data solutions using More ❯

5+ years experience) Location: London Working Model: 3 days a week on-site About the Company/Role A mid-sized management consultancy with a strong presence across data, analytics, and technology transformation is hiring Data Modellers at Senior and Principal levels. The team delivers enterprise-scale data frameworks and modelling standards for clients across financial services and energy, helping More ❯

stakeholders to deliver reliable, scalable features Mentor team members, providing both technical guidance and personal development support Contribute to the company’s data strategy and build infrastructure to support analytics workflows Ensure system performance, reliability, and security across services Core Technologies: Languages: Node.js, Python Databases: PostgreSQL, DynamoDB Cloud: AWS (Lambda, DynamoDB, PostgreSQL, Infrastructure as Code) Practices: Microservices, TDD, Agile methodologies More ❯

users in analytical tools and data interpretation. Preferred Skills & Experience Strong hands-on experience with SAP, including implementation and support. Technical expertise with TM1 and Power BI, particularly in analytics and dashboard creation. Excellent analytical, problem-solving, and communication skills. Ability to work collaboratively with both technical and non-technical teams. Highly organised, proactive, and comfortable managing multiple priorities. Previous More ❯

and implementing governance frameworks, data quality standards, and compliance processes (GDPR/CCPA). Advising C-level stakeholders on leveraging data to drive value creation and operational efficiency. Applying analytics and machine learning techniques to identify insights and growth opportunities. SKILLS AND EXPERIENCE The successful VP – Data Strategy & Transformation will have the following skills and experience: Proven track record in More ❯

focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in identifying new opportunities to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience More ❯

Preferred Qualifications: -Part-qualified or fully qualified accountant (ACA, ACCA, CIMA, CPA, or equivalent) -Prior experience in a regulated or financial services environment (ideally) -Exposure to automation tools, data analytics, or process improvement methodologies. More ❯

software development practices. Experience working in Financial Services is a plus, but not essential. Why Join? Play a pivotal role in a cloud transformation journey using modern data and analytics platforms. Gain experience with emerging technologies including Python, Azure, and Databricks. Join a stable, globally recognised organisation with a strong culture of innovation. Enjoy a flexible hybrid working model and More ❯

planning, design, and implementation of enterprise systems, operational technologies, and digital platforms supporting rail operations, maintenance, and customer engagement. Drive innovation through emerging technologies such as AI, IoT, data analytics, and automation to enhance efficiency, safety, and sustainability. Oversee the management and modernization of IT infrastructure, cybersecurity, and data governance frameworks. Collaborate with executive leadership to identify technology-driven opportunities More ❯

Data Engineer to join a major insurance client engagement . The role focuses on scaling a Snowflake Data Warehouse and expanding its DBT Cloud modelling capabilities to support new analytics and regulatory data use cases across the business. Assignment Details Initial Duration: 6–12 months (until March 2026, likely extension given scope) Location: Hybrid – minimum of 2 days per week More ❯

next generation of data-driven digital experiences for one of Europe’s most technically advanced SaaS innovators? Our client, a pioneer in B2B SaaS solutions , is building “Your Shipping Analytics Supercomputer” , providing cutting-edge data visualisation and dynamic dashboards for high-velocity business & artificial intelligence. About the Role As a Senior Full-stack Engineer , you’ll play a key role More ❯

a Senior BA to join their team, helping to develop advanced pricing products and supporting clients across General insurance Role Overview This role sits at the intersection of pricing, analytics, and client delivery. You will work directly with underwriters and actuaries to transform complex pricing models into automated, operational systems. You’ll have the opportunity to shape product development, influence More ❯

decision-making and delivery. Oversee product lifecycle activities , including planning, development, and implementation of new technology products. Define market needs, develop requirements, and create implementation roadmaps. Leverage data and analytics to continuously enhance user experience and inform decision-making. Influence strategic planning , contributing to ongoing business prioritization and operational alignment. Champion modern engineering practices , such as continuous integration and automated More ❯

and external stakeholders, offering sound recommendations. Highly organized and capable of managing multiple priorities simultaneously. Experience with regulatory reporting platforms such as Suade is advantageous. Familiarity with data and analytics tools including Alteryx, Power BI, Python, and advanced Excel is preferred. Risk & Conduct Responsibilities: Accountable for identifying and escalating operational risk events in line with internal policies. Expected to uphold More ❯

institutions. You’ll collaborate closely with quantitative analysts, product managers, and other engineers to design and implement robust, scalable, and high-performance solutions that support large-scale data processing, analytics, and optimization algorithms. Key Responsibilities Take active part in a team of developers working on my client's Portfolio Optimisation products Design software according to agreed standards, architecture, and requirements More ❯