1,601 to 1,625 of 5,107 Analytics Jobs

newest ventures is Para – an all-in-one digital twin solution that leverages artificial intelligence, state-of-the-art IoT and smart devices, 3D visualisation platforms, and extensive data analytics to empower clients to generate more value out of their assets. Para is a fast-growing and ambitious start-up, built on the exceptional experience and technical expertise of its … managing the deployment of building solutions, including technical and functional knowledge in testing and commissioning of instrumentation and control systems as well as working knowledge of IoT platforms, data analytics, and cloud solutions. Knowledge of Edge Computing and Digital Twins would be of significant benefit in this role. The role offers exposure to all elements of technical delivery within a … different IT and OT data sources Understand the workflows and systems inside the different buildings Adapt the platform modules/dashboards to the project, in terms of UI and analytics, in collaboration with the Product Managers Devise project specific algorithms for optimization/prescriptive controls Devise project specific algorithms and methods for automated fault detection and diagnostics Identify the data More ❯

newest ventures is Para – an all-in-one digital twin solution that leverages artificial intelligence, state-of-the-art IoT and smart devices, 3D visualisation platforms, and extensive data analytics to empower clients to generate more value out of their assets. Para is a fast-growing and ambitious start-up, built on the exceptional experience and technical expertise of its … managing the deployment of building solutions, including technical and functional knowledge in testing and commissioning of instrumentation and control systems as well as working knowledge of IoT platforms, data analytics, and cloud solutions. Knowledge of Edge Computing and Digital Twins would be of significant benefit in this role. The role offers exposure to all elements of technical delivery within a … different IT and OT data sources Understand the workflows and systems inside the different buildings Adapt the platform modules/dashboards to the project, in terms of UI and analytics, in collaboration with the Product Managers Devise project specific algorithms for optimization/prescriptive controls Devise project specific algorithms and methods for automated fault detection and diagnostics Identify the data More ❯

pieces. Need it to be rearchitected Once designed, implement some of the work (phase 1, simplify data sources etc) Quite a lot of transformation Must haves - Degree in Data Analytics or similar Hybrid Analytics/Engineering role Working in Manufacturing, Retail, Consultancy or similar Ability to work in the office on Monday's - you choose the 2nd day Experience working More ❯

pieces. Need it to be rearchitected Once designed, implement some of the work (phase 1, simplify data sources etc) Quite a lot of transformation Must haves - Degree in Data Analytics or similar Hybrid Analytics/Engineering role Working in Manufacturing, Retail, Consultancy or similar Ability to work in the office on Monday's - you choose the 2nd day Experience working More ❯

Specialists x 3 + 6 month initial contract + £470 to £483 per day - Inside IR35 + Hybrid working form Telford Key Sklills: + Test automation for data and analytics platforms + SC Clearable Key Responsibilities: Working as part of an Agile team participate in ceremonies and contribute to sprint planning, retrospectives, demos and reporting. Utilise strong Stakeholder Management and … automation tooling is implemented and utilised to meet business and technical needs. Design and implement automation test strategies and plans for SAS Viya 4 applications, for UI based Visual Analytics (VA) and Intelligent Decisioning (ID), as well as for integration testing of data pipelines. Develop and maintain test scripts using appropriate automation frameworks (e.g., Selenium, PyTest, JUnit) and integrate them … is undertaken Ensure results and progress are clearly articulated to relevant stakeholders. Essential Skills & Experience: Proven experience in: Working in a collaborative agile environment Test automation for data and analytics platforms, ideally including SAS Viya 4. Assuring the appropriate tool selection for both business and technical needs Setting the strategy and approach for both UI and System Integration based automation More ❯

ETC) MUST BE CURRENTLY WORKING AT A BANK OR HEDGE FUND (NO EXCEPTIONS) Role Focus Individual contributor, hands-on coder especially in Angular, with strong web and back-end analytics skills. Must have personally built and delivered solutions within tight timelines (no delegated coding Team & Environment Lean front-office tech team working alongside traders. Handle multiple in-house apps and … initiatives. Frequent user exposure, minimal hand holding, and strong ownership culture. Technical & Domain Skills Microsoft stack: .NET, C#, SQL Server, Azure, Power BI Front-end: Angular (mandatory) UI & web analytics; Excel analytics Familiarity with financial apps (trade capture, cash flow, credit products RMBS, CMBS, ABS, MBS, loans) Loan-level reporting systems; Bloomberg/Intex/CoreLogic a plus Background in More ❯

Specialists x 3 + 6 month initial contract + 470 to 483 per day - Inside IR35 + Hybrid working form Telford Key Sklills: + Test automation for data and analytics platforms + SC Clearable Key Responsibilities: Working as part of an Agile team participate in ceremonies and contribute to sprint planning, retrospectives, demos and reporting. Utilise strong Stakeholder Management and … automation tooling is implemented and utilised to meet business and technical needs. Design and implement automation test strategies and plans for SAS Viya 4 applications, for UI based Visual Analytics (VA) and Intelligent Decisioning (ID), as well as for integration testing of data pipelines. Develop and maintain test scripts using appropriate automation frameworks (e.g., Selenium, PyTest, JUnit) and integrate them … is undertaken Ensure results and progress are clearly articulated to relevant stakeholders. Essential Skills & Experience: Proven experience in: Working in a collaborative agile environment Test automation for data and analytics platforms, ideally including SAS Viya 4. Assuring the appropriate tool selection for both business and technical needs Setting the strategy and approach for both UI and System Integration based automation More ❯

pieces. Need it to be rearchitected Once designed, implement some of the work (phase 1, simplify data sources etc) Quite a lot of transformation Must haves - Degree in Data Analytics or similar Hybrid Analytics/Engineering role Working in Manufacturing, Retail, Consultancy or similar Ability to work in the office on Monday's - you choose the 2nd day Experience working More ❯

and customer outcomes through active data analysis and modeling. Develop and refine predictive and machine learning models. Build and optimize customer lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics More ❯

and customer outcomes through active data analysis and modeling. Develop and refine predictive and machine learning models. Build and optimize customer lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics More ❯

pieces. Need it to be rearchitected Once designed, implement some of the work (phase 1, simplify data sources etc) Quite a lot of transformation Must haves - Degree in Data Analytics or similar Hybrid Analytics/Engineering role Working in Manufacturing, Retail, Consultancy or similar Ability to work in the office on Monday's - you choose the 2nd day Experience working More ❯

pieces. Need it to be rearchitected Once designed, implement some of the work (phase 1, simplify data sources etc) Quite a lot of transformation Must haves - Degree in Data Analytics or similar Hybrid Analytics/Engineering role Working in Manufacturing, Retail, Consultancy or similar Ability to work in the office on Monday's - you choose the 2nd day Experience working More ❯

employee contribution) We are looking for a Senior Customer Analyst focused on loyalty and customer engagement to join a leading global online marketplace. This strategic role uses data and analytics to shape loyalty initiatives that drive retention, repeat behaviour, and long-term customer value. What You'll Do: Analyse customer behaviour across loyalty programmes to identify opportunities for engagement and … enable personalised experiences. Recommend improvements to loyalty propositions, including tiers, rewards, and experience enhancements. Partner with marketing, data, and global teams to deliver and measure loyalty initiatives. Use advanced analytics and storytelling to influence loyalty strategy and maximise customer lifetime value. Example Projects: Redesign loyalty programmes to increase engagement and repeat purchases. Develop SCV integrating purchase, engagement, and loyalty data. … successful loyalty initiatives. Requirements: Advanced SQL and experience with a dashboarding tool (Tableau/Looker). Strong understanding of loyalty programmes, CRM strategy, and customer engagement. Experience in loyalty analytics in e-commerce, retail, or telco environments. Analytical skills to interpret data and strategic mindset to design propositions. Confident working cross-functionally and internationally, with excellent stakeholder management. Desirable: Python More ❯

and customer outcomes through active data analysis and modeling. Develop and refine predictive and machine learning models. Build and optimize customer lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics More ❯

and customer outcomes through active data analysis and modeling. Develop and refine predictive and machine learning models. Build and optimize customer lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics More ❯

environment. Role Responsibilities Support the UX roadmap by analysing user behaviour and website performance and providing actionable insights and a/b testing recommendations Assist Use tools like Google Analytics, Hotjar, and others to uncover conversion opportunities Assist in planning, executing, and reporting on A/B tests and multivariate experiments Collaborate with UX, Design, and Development to validate hypotheses … dashboards and regular reporting on key conversion metrics Stay up to date with best practices in CRO, user behaviour, and eCommerce trends About You A strong interest in digital analytics, UX, and data-driven decision making Familiarity with tools like Google Analytics, Hotjar, or similar (training provided) Strong Excel/Google Sheets skills; bonus points for SQL or other data More ❯

best practice. Manage relationships with external agencies supporting SEO and development. Collaborate with marketing, content, and design teams to maintain consistent digital standards. Measurement & Optimisation Monitor platform performance using analytics and customer insights. Conduct regular content and UX audits to drive continuous improvement. Use data to optimise user journeys and engagement. About You Must Have: CMS experience (e.g., Contentful, Umbraco … . Experience with online editorial content and copy. Proven experience managing external agencies. Background in luxury, retail, lifestyle, or hospitality with physical locations. Understanding of user experience and analytics tools (Adobe Analytics, Hotjar, etc.). Nice to Have: Experience overseeing web, app, and SEO strategies (agency-managed). Performance-focused mindset with knowledge of ROI, reach, and consumer behaviour. Strong More ❯

and customer outcomes through active data analysis and modeling. Develop and refine predictive and machine learning models. Build and optimize customer lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics More ❯

Junior Data Scientist - Fully remote (UK based only) – TimeSeries, NLP, Computer Vision We’re partnering with a fast-growing analytics and technology business operating in the media streaming sector to recruit a Full Stack Data Scientist. They provide data analytics tools for major entertainment brands that are household names around the globe. This role offers a chance to build models … tabular) data. The Role You’ll join a small, collaborative data team in a Full stack Data Science role (ETL process through to building predictive models) working on live analytics, forecasting, and AI/ML projects. Key responsibilities include: Enriching and preparing datasets to uncover actionable insights Building and evaluating time-series forecasts Prototyping AI/ML models (NLP and More ❯

k *Unfortunately, Visa sponsorship is not on offer for this position. About the Role We’re hiring an AI Data Engineer to help build the next generation of intelligent analytics systems. The role combines data engineering, automation, and applied AI — giving you the chance to shape how complex datasets are processed, analysed, and turned into insights through large language models … experienced engineers and gain hands-on exposure to advanced tools, scalable data systems, and AI-powered reporting automation. What you’ll do Contribute to the design and maintenance of analytics pipelines, ensuring reliability and performance. Use SQL and Python to build data workflows, automation scripts, and reporting processes. Support the integration of AI and LLMs into reporting and query-generation … and non-technical teams to translate data into clear recommendations. Learn how to evolve manual workflows into scalable, automated intelligence systems. What we’re looking for Experience in data analytics, data engineering, or campaign analytics. Strong SQL skills, plus Python (or R) for data processing and automation. Interest in AI/LLM applications — hands-on experience welcome but not essential. More ❯

k *Unfortunately, Visa sponsorship is not on offer for this position. About the Role We’re hiring an AI Data Engineer to help build the next generation of intelligent analytics systems. The role combines data engineering, automation, and applied AI — giving you the chance to shape how complex datasets are processed, analysed, and turned into insights through large language models … experienced engineers and gain hands-on exposure to advanced tools, scalable data systems, and AI-powered reporting automation. What you’ll do Contribute to the design and maintenance of analytics pipelines, ensuring reliability and performance. Use SQL and Python to build data workflows, automation scripts, and reporting processes. Support the integration of AI and LLMs into reporting and query-generation … and non-technical teams to translate data into clear recommendations. Learn how to evolve manual workflows into scalable, automated intelligence systems. What we’re looking for Experience in data analytics, data engineering, or campaign analytics. Strong SQL skills, plus Python (or R) for data processing and automation. Interest in AI/LLM applications — hands-on experience welcome but not essential. More ❯

Flexera is seeking a highly motivated and experienced Senior Product Manager to lead our Content data analytics capabilities. This strategic role requires a blend of technical acumen, customer insight, and a deep understanding of integration ecosystems. Responsibilities : Define and execute the product vision and strategy for the Flexera platform's analytics strategy. Collaborate with cross-functional teams including engineering, sales … timely delivery of high-quality features Establish and monitor KPIs to assess integration performance and inform product decisions Serve as the subject matter expert for the Flexera and data analytics, providing guidance and thought leadership both internally and externally Engage with customers and partners to gather feedback, refine product strategy, and identify new opportunities Maintain a keen understanding of industry More ❯

Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into … in our knowledge sharing community • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production • Drive Firm … scale frameworks to accelerate the application of machine learning models across different areas of the business Required qualifications, capabilities, and skills • Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research More ❯

A leading global Online Retailer is seeking a Senior Customer Analyst to drive customer retention and loyalty through insight-led recommendations. This role sits within a high-performing customer analytics function and will directly influence strategy and commercial outcomes. Key Responsibilities Deliver data-driven insights to improve customer loyalty and retention Analyse customer behaviours and churn drivers to identify growth … and build scalable solutions Essential Skills Advanced SQL (technical test included) Loyalty Experience is a must here Analytical storytelling - ability to translate data into commercial impact Experience in productionising analytics or code automation Desirable Dashboarding (Looker or Tableau) Python, cloud platforms Experience in e-commerce, telecoms, or loyalty-driven environments Profile Commercially minded problem solver Strong communicator with stakeholder influence More ❯

National Security Consultancy in Cheltenham Must hold Active Enhanced DV (West) Clearance to start Up to £105k DoE Cheltenham location – 80% on-site Essential experience in Data Architecture, Data Analytics, AI Solutions, AWS Who Are We? Our client has over 30 years of experience in solving complex data challenges for defence, national security, and central government clients. They specialise in … areas such as AI and machine learning, geospatial data analytics, cloud services, and data strategy, delivering tailored solutions that enhance decision-making, operational performance, and mission readiness Key Responsibilities: In the role, you’ll design and deliver advanced data-driven systems that enable national security clients to make faster, better-informed decisions. Beyond solution delivery, you’ll help shape future … work on-site in Cheltenham 4 days per week Key skills required: Expertise in data architecture, including modelling, analysis, transformation, migration, and master data management. Experience in developing data analytics and AI-driven solutions. Skilled in designing and automating data quality metrics and KPIs. Proficient with AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR) and/or Azure (ADF, Synapse, Fabric More ❯