1,326 to 1,350 of 3,770 Analytics Jobs in England

Understand and provide options to Community of Practice in relation to Vistex Solution o Ensure Future roadmap for linked pricing tools eg PriceFX, pricing analytics tools (not within P&OE scope) and work with P&SC portfolio to ensure these are fed into the Enterprise Roadmap and 5 year organic … investment plan Enable robust data flows and structures to support pricing decisions and reporting. Partner with analytics teams to embed advanced pricing models, insights, and dashboards into processes What we are looking for from you: Functional Expertise Deep experience in pricing strategy, commercial operations, or revenue management Experience with Quote ...

Capability teams to define and deliver the Promotions vision. Provide strategic guidance on promotions planning, measurement, and optimisation using dunnhumby's data science and analytics capabilities. Translate complex business challenges into actionable solutions and product features. Solution Design & Implementation Collaborate with dunnhumby's Product, Science, Analytics, and Engineering teams ...

Capability teams to define and deliver the Promotions vision. Provide strategic guidance on promotions planning, measurement, and optimisation using dunnhumby's data science and analytics capabilities. Translate complex business challenges into actionable solutions and product features. Solution Design & Implementation Collaborate with dunnhumby's Product, Science, Analytics, and Engineering teams ...

closely with the Principal Strategist Emerging Technologies, the role is accountable for shaping and delivering intelligent platform architectures that enable AI-assisted workflows, advanced analytics, semantic capabilities, automation and knowledge-driven services. The role combines deep technical expertise with strong delivery leadership and engineering collaboration to ensure innovative solutions move … platforms or advanced technology delivery roles Strong hands-on experience designing enterprise-grade AI and data platform architectures Experience operationalising AI or advanced analytics solutions within regulated or complex environments Experience translating proof-of-concepts into scalable enterprise services Strong understanding of modern cloud-native architecture patterns Experience working across ...

performance metrics Enable better business decision‐making through accurate, timely and integrated data Support capacity planning, forecasting, investment prioritisation and performance management through improved analytics and insight Help the business move towards a more consistent, trusted source of data across markets and functions Partner with leaders to turn data into … Experience integrating systems, platforms and data environments across multiple entities, countries or acquired businesses Strong understanding of enterprise architecture, data strategy, data governance, reporting, analytics and operational technology environments Ability to connect technology and data investment to operational performance, commercial outcomes and business value Comfortable working with ExCo and senior ...

leadership of cross‐functional AI initiatives. Industry Knowledge: Sector regulations and AI use cases, particularly in regulated industries such as financial services. Data Strategy & Analytics: Data management, data quality, analytics platforms, data mesh/fabric, and real-time data processing. Emerging Technology: Generative AI, LLMs, edge AI, quantum computing potential ...

customer at the heart of every decision. Key Responsibilities Commercial Excellence Transform service into a revenue engine through insight-led upsells Use data analytics to shift from reactive support to proactive growth Build consultative partnerships that drive retention and expansion Design multi-tiered engagement models optimising cost-to-serve Strategic … Wise regions Create scalable, affordable models supporting pricing strategy Operations Enhance productivity, quality, and first contact resolution Use customer insights and root cause analytics for improvements Manage resource utilisation and workforce planning Drive continuous improvement and change management Lead cross-functional stakeholder conversations People Leadership Provide effective coaching through regular ...

London Victoria and the remainder working remotely. You will play a key role in designing, building, and optimising data pipelines and platforms, supporting advanced analytics and business intelligence initiatives. Key Responsibilities Design and develop scalable data pipelines and data processing solutions Work with modern data platforms such as Microsoft Fabric ...

product data into meaningful insights that improve quality, performance and decision-making. Working closely with engineering, manufacturing and digital teams, you will apply analytics, statistical modelling and machine learning techniques to solve complex engineering challenges. The Data Scientist will: Analyse manufacturing, quality and product performance data to identify trends ...

business. As a senior member of the data science team, you will provide technical leadership, influence strategy and ensure best practice in machine learning, analytics, governance and ethical AI. Location: This is a hybrid role that can be based in our London, Bournemouth or Bristol offices. Salary Information … teams. Desirable Skills Experience with time series modelling or advanced optimisation techniques. Knowledge in generative AI and agentic AI solutions Familiarity with cloud-based analytics platforms, big data technologies or MLOps practices. Experience designing experiments, A/B testing and evaluating model impact. Background working in a regulated, financial services ...

adoption of APEXX capabilities, enable customers to expand their use of the platform, and unlock new commercial and market opportunities. Use customer research, product analytics, and experimentation to understand complex enterprise needs, identify opportunities, prioritise roadmap investments, and measure customer and business outcomes. Partner closely with Engineering, Design, Commercial, Customer … product capabilities and customer experience to drive adoption, expansion, and commercial growth. Strong analytical and data-driven approach, with experience using customer research, product analytics, and experimentation to inform decisions, prioritise effectively, and measure outcomes. Strong product judgement and commercial awareness, with the ability to balance customer needs, business outcomes ...

objectives and comply with strategic and group limits Collaborating with ALM, Asset Management, Investment Operations, Investment Strategy and Finance to enhance portfolio and market analytics and ensure timely MI for tactical portfolio optimisation Applying a pragmatic and flexible approach to delivering reliable information and portfolio insights within a complex data … quantitative degree or postgraduate qualification (progress towards CFA or equivalent desirable) Working knowledge of developing tools using SQL, Python and Excel Understanding of portfolio analytics, portfolio management concepts and fixed income markets Experience working with large, complex datasets across multiple sources Background as a front-office portfolio analyst or experience ...

Bank --------------------------------------- JOB DETAILS Role Title: Technology Architect Technology Architect – Databricks with over 12 years of experience in designing and leading large scale data engineering, analytics, and cloud transformation initiatives. The ideal candidate will have deep expertise in Databricks, big data architectures, cloud platforms (Azure), and modern data engineering frameworks. This ...

strategy. ALM/Law Business Research is a leading, technology‐enabled information services and events company serving the global legal industry with news, data, analytics, and performance insights. The combined business operates globally with a broad portfolio of subscription information products, proprietary data sets, workflow tools, and premium events serving … support development of the corporate and inorganic growth roadmap through market research, target mapping, and analysis of trends across legal information, data/analytics, workflow tools, and events. Build and maintain detailed profiles and financial summaries for priority markets, strategic opportunities, and potential acquisition or partnership targets, including preliminary valuation ...

place where people stay because they feel valued, and find room to grow because theyre challenged. About the role Working closely with the Data Analytics Manager and wider Marketing Team, this role will be responsible for turning audience data and customer intelligence into real-world outcome-driven marketing activations across … ability to interpret audience and performance data. Experience working with marketing platforms (e.g.ads manager), Customer Data Platforms (e.g. Bloomreach) and insight tools (e.g. Google Analytics). Comfortable manipulating and quality-checking datasets for activation, interpreting data to spot trends and identify opportunities Familiar with test-and-learn frameworks (A/ ...

pipelines and feature engineering Substantial experience with joining, analysing, manipulating commercial and regulatory data for visualisation (Tableau) and apps Demonstrable experience in utilising data analytics tools and libraries (Pandas, PySpark, etc) Understanding of financial markets Experience in applying machine learning techniques to market data Experienced in developing user-friendly analytical ...

aligned to global and franchise priorities in collaboration with key stakeholders. Lead the ongoing evolution of the Campaign Planning and Automation roadmap, leveraging campaign analytics and user feedback to inform prioritization and trade-off decisions Translate business needs into capability solutions with measurable success metrics that drive impact across franchises … Strong understanding of marketing automation and campaign execution platforms (e.g. SFMC) and campaign planning workflows. Strong understanding of omnichannel data, including media and campaign analytics with the ability to integrate data into decision-making frameworks and explain insights clearly to diverse stakeholders Familiarity with marketing CRM platforms or comparable platforms. ...

data protection, and telecommunications compliance. In this role, you will lead monitoring reviews and testing activities aligned to the annual compliance plan, using data analytics and AI-driven insights to identify risks, assess control effectiveness, and drive continuous improvement. You will play a key role in escalating findings, supporting remediation … customer interactions, operational processes, records, contracts, and data sets to establish whether good customer outcomes are consistently achieved. Leverage advanced technologies such as data analytics, machine learning, and AI to streamline monitoring activities and enhance operational efficiency. Collaborate with LSCR and cross-functional teams to maintain a well-informed view ...

Design and maintain scalable data pipelines across diverse sources. Automate and optimise workflows using tools like Airflow, dbt, and Spark. Support data modelling for analytics, dashboards, and A/B testing. Collaborate with cross-functional teams to deliver data-driven insights. Work with cloud platforms (GCP preferred) and tools like ...

APICS, SCOR, BIAN, and industry-specific standards Deepunderstanding of trends like: Supply chain digitalization, inventory optimization, omnichannel retail, lean manufacturing, Industry 4.0, predictive analytics, and demand-driven planning Passion and energy for building business relationships and is accustomed to driving the simplification of complex concepts into compelling customer proposals Drive … include SaaS, PaaS, multi-tenancy, and automation Experience and understanding of multiple technical domains - application, data, DevOps, AI/ML, integration, big data, mobility, analytics, etc. Intrinsically curious and passionate aboutresearching current and emerging technologiesand developing innovative solutions Experience presenting architecture concepts, designs, and goals to technology leaders and partners ...

Lead Product Manager (Data) will have: Strong experience delivering data products, platforms or services within complex environments. Experience working alongside Data Engineering, Architecture and Analytics teams. A proven track record of product leadership, roadmap management and prioritisation. Knowledge of data architecture, data modelling and governance principles. Excellent stakeholder management ...

Lead Product Manager (Data) will have: Strong experience delivering data products, platforms or services within complex environments. Experience working alongside Data Engineering, Architecture and Analytics teams. A proven track record of product leadership, roadmap management and prioritisation. Knowledge of data architecture, data modelling and governance principles. Excellent stakeholder management ...

Lead Product Manager (Data) will have: Strong experience delivering data products, platforms or services within complex environments. Experience working alongside Data Engineering, Architecture and Analytics teams. A proven track record of product leadership, roadmap management and prioritisation. Knowledge of data architecture, data modelling and governance principles. Excellent stakeholder management ...

have: Strong experience delivering complex data products, platforms or services A proven background in product strategy, roadmaps and prioritisation Experience working alongside Data Engineering, Analytics and Architecture teams Knowledge of data architecture, data modelling and governance principles Excellent stakeholder management and communication skills Experience influencing senior leaders and driving strategic ...

Lead Product Manager (Data) will have: Strong experience delivering data products, platforms or services within complex environments. Experience working alongside Data Engineering, Architecture and Analytics teams. A proven track record of product leadership, roadmap management and prioritisation. Knowledge of data architecture, data modelling and governance principles. Excellent stakeholder management ...