476 to 500 of 2,037 Data Analysis Jobs in England

identify optimization opportunities and increase collaboration Collaborate with internal teams and syndication partners to prepare reports to track progress across engagement focus areas Perform data analysis to derive key insights from cross functional engagement initiatives Liaise with internal teams on tooling and leverage and improve existing processes Support … to ensure partner requests are documented, tracked, and processes are followed Experience in understanding business requirements for media or technology related features Experience with data analysis, synthesizing various data sets, identifying trends, and drawing meaningful conclusions Program or project management experience in a technology, engineering, or media More ❯

identify optimization opportunities and increase collaboration • Collaborate with internal teams and syndication partners to prepare reports to track progress across engagement focus areas • Perform data analysis to derive key insights from cross functional engagement initiatives • Liaise with internal teams on tooling and leverage and improve existing processes • Support … to ensure partner requests are documented, tracked, and processes are followed • Experience in understanding business requirements for media or technology related features • Experience with data analysis, synthesizing various data sets, identifying trends, and drawing meaningful conclusions • Program or project management experience in a technology, engineering, or media More ❯

identify optimization opportunities and increase collaboration • Collaborate with internal teams and syndication partners to prepare reports to track progress across engagement focus areas • Perform data analysis to derive key insights from cross functional engagement initiatives • Liaise with internal teams on tooling and leverage and improve existing processes • Support … to ensure partner requests are documented, tracked, and processes are followed • Experience in understanding business requirements for media or technology related features • Experience with data analysis, synthesizing various data sets, identifying trends, and drawing meaningful conclusions • Program or project management experience in a technology, engineering, or media More ❯

identify optimization opportunities and increase collaboration • Collaborate with internal teams and syndication partners to prepare reports to track progress across engagement focus areas • Perform data analysis to derive key insights from cross functional engagement initiatives • Liaise with internal teams on tooling and leverage and improve existing processes • Support … to ensure partner requests are documented, tracked, and processes are followed • Experience in understanding business requirements for media or technology related features • Experience with data analysis, synthesizing various data sets, identifying trends, and drawing meaningful conclusions • Program or project management experience in a technology, engineering, or media More ❯

identify optimization opportunities and increase collaboration • Collaborate with internal teams and syndication partners to prepare reports to track progress across engagement focus areas • Perform data analysis to derive key insights from cross functional engagement initiatives • Liaise with internal teams on tooling and leverage and improve existing processes • Support … to ensure partner requests are documented, tracked, and processes are followed • Experience in understanding business requirements for media or technology related features • Experience with data analysis, synthesizing various data sets, identifying trends, and drawing meaningful conclusions • Program or project management experience in a technology, engineering, or media More ❯

identify optimization opportunities and increase collaboration Collaborate with internal teams and syndication partners to prepare reports to track progress across engagement focus areas Perform data analysis to derive key insights from cross functional engagement initiatives Liaise with internal teams on tooling and leverage and improve existing processes Support … to ensure partner requests are documented, tracked, and processes are followed Experience in understanding business requirements for media or technology related features Experience with data analysis, synthesizing various data sets, identifying trends, and drawing meaningful conclusions Program or project management experience in a technology, engineering, or media More ❯

identify optimization opportunities and increase collaboration Collaborate with internal teams and syndication partners to prepare reports to track progress across engagement focus areas Perform data analysis to derive key insights from cross functional engagement initiatives Liaise with internal teams on tooling and leverage and improve existing processes Support … to ensure partner requests are documented, tracked, and processes are followed Experience in understanding business requirements for media or technology related features Experience with data analysis, synthesizing various data sets, identifying trends, and drawing meaningful conclusions Program or project management experience in a technology, engineering, or media More ❯

RED are currently looking for 2X Data Science Engineer's to work on a project with a client of ours based in London. This position will be a contract position running initially until the end of this year + extensions and will require someone who can be in London … days per week. We are looking for the following: Proficient in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations. Experienced in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP. ·Skilled in complete project delivery, from data preparation to model building, evaluation, and visualization. Proficient in Python programming and SQL, with experience in production-level code and data analysis libraries. Familiar with ML Ops, model development workflows, and feature engineering techniques. Capable of manipulating data and developing models accessible for business use, with More ❯

RED are currently looking for 2X Data Science Engineer's to work on a project with a client of ours based in London. This position will be a contract position running initially until the end of this year + extensions and will require someone who can be in London … days per week. We are looking for the following: Proficient in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations. Experienced in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP. ·Skilled in complete project delivery, from data preparation to model building, evaluation, and visualization. Proficient in Python programming and SQL, with experience in production-level code and data analysis libraries. Familiar with ML Ops, model development workflows, and feature engineering techniques. Capable of manipulating data and developing models accessible for business use, with More ❯

to protect the business from fraud and other financial crime. To achieve this, you will be an experienced fraud strategy professional who is highly data literate, with good knowledge of platforms and techniques to combat fraud and other financial crime, and also have a good understanding of the interplay … Brown? Provide support in all aspects of consumer fraud and financial crime, including knowledge of 1st and 3rd party fraud typologies and fraud detection data, techniques and platforms. Responsible for oversight of the fraud control rule structure, working closely with various third-party fraud prevention solution providers (e.g. Lexis … fraud such as impersonation and account takeover, and 1st party fraud, e.g. from customer claims, together with UAT within our fraud decision systems. Use data analysis and modelling techniques to undertake complex analysis to continually optimise rules to detect fraud whilst minimising the impact to good sales More ❯

Purpose of the role Define and articulate strategic recommendations relating to network and fleet strategy for decision-making by senior management. Lead in-depth data analysis to help build business cases for core strategic questions, including analysis of market/industry trends, network optimisation and benchmarking. Coordinate … and champion best practice. Support the wider IAG Strategy team on ad hoc projects, such as Board and Investor Day documents. Accountabilities Conduct detailed analysis to understand and optimise IAG's combined network and fleet, and hence maximise profitability and shareholder value. Enhance the network planning activity undertaken within … each IAG Operating Company by taking a group-wide neutral perspective - for example, overlapping markets and slot coordination. Conduct rigorous, in-depth data analysis of route performance and monitor competitive landscape through analysis of capacity, market share and traffic flows. Develop capacity forecast scenarios for competitors to More ❯

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep … heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas … working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. We're looking for a talented Senior Research Data Scientist who expects more from their career. It's a chance to extend and improve dunnhumby's world class science capabilities. It's an opportunity More ❯

strong team ethic, are also essential. The successful candidate will be leading the bioinformatics effort at NeoPhore, able to extract biological insights from experimental data, following a vast experience of contributing and/or overseeing the exploitation of computational pipelines for NGS data in genomics with tumour mutational … and Responsibilities of this Role NeoPhore's lead in Computational Biology & Bioinformatics will be a Genomics expert, responsible for executing the strategy and the data output from experimentally impactful cancer cell biology. Responsibilities include: Lead on NeoPhore's Bioinformatics and Computational Biology strategy Translation of long-term strategy into … near-term tactical priorities for the computational biology and bioinformatics setup Responsible for all the bioinformatics pipelines, internally and with CROs, AWS, data archiving, data presentation/interpretation and ultimate relevance in the context of immune-oncology clinical landscapes Supporting NeoPhore's preclinical Genomics NGS analysis in More ❯

and ability to design, develop, and deploy cutting-edge artificial intelligence and machine learning solutions on cloud platforms. You will be familiar with big data tools and technologies for handling large datasets and have hands-on experience with cloud providers like Google Cloud Platform (GCP) . Responsibilities: Utilise cloud … solutions (e.g. ) to build and deploy scalable AI solutions. Process and analyse large datasets to train and evaluate AI/ML models. Collaborate with data scientists to optimise model performance and accuracy. Develop and maintain AI/ML pipelines for data ingestion, processing, and model training. Integrate AI … latest advancements in AI/ML and cloud technologies. Contribute to the development of AI/ML strategy and best practices. Requirements: Knowledge of data structures, algorithms, and software design principles. Experience with machine learning frameworks: Preferably hands-on experience with cloud platforms (GCP) and their AI/ML More ❯

You will need to login before you can apply for a job. Sector: Data Science Role: Senior Executive Contract Type: Permanent Hours: Full Time dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We … to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. We're looking for a talented Senior Research Data Scientist who expects more from their career. It's a chance to extend and improve dunnhumby's world class science capabilities. It's an … optimisation and econometric methods to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll also have the opportunity to present results to both internal teams and clients. What you'll be More ❯

Title : Data Business Analyst Industry : Banking Location : London Salary : Upto £80,000 This role drives business change across people, processes, and technology by collaborating with departments to assess and implement improvements. With curiosity and attention to detail, they ask the right questions to align outcomes with strategic goals. They … enhancements. As a change facilitator, they oversee adoption, managing UAT, implementation, and post-deployment support. Key Responsibilities: Identifies opportunities to enhance business value through data by optimizing data processes, developing innovative data products and services, and improving data operations. Collaborates with various departments to assess, define … and document business data requirements, objectives, and operational challenges. Serves as a bridge between end-users, technical teams, developers, external vendors, and testers. Possesses a strong understanding of data analysis techniques, business scenarios, and reporting methodologies. Contributes throughout the project lifecycle, from analysis and design to More ❯

the ATS SSM by providing clearly standard work for all under the roof roles and identifying opportunities to optimize standard work and roles. Utilize data analysis to measure specific task time allocation. Engage other Amazon business units globally to share best practices and improve end to end outcomes … Fluency in English required. Experience managing cross-functional and regional programs by influencing different stakeholder groups at all levels of the company. Experience with data analysis and working with large data sets. PREFERRED QUALIFICATIONS Operations experience in EU ATS. Basic SQL knowledge. Amazon is an equal opportunities … based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal More ❯

partnering with a dynamic team that values innovation and success in a fast-paced environment. The Business Analyst will influence critical business decisions through data analysis and provide insights to category teams to enable action. The ideal candidate will have: A passion for numbers, data, and challenges. … with diverse teams across organizational levels. Proven analytical and quantitative skills, including proficiency in tools like Excel and SQL, and the ability to leverage data and metrics for decision-making. Key responsibilities include: Influencing business decisions through data insights. Utilizing data resources to perform analytical tasks related … metrics and escalating anomalies as needed. Providing input on business actions based on analytical findings. BASIC QUALIFICATIONS 5+ years of experience analyzing and interpreting data using Redshift, Oracle, NoSQL, etc. Experience with data visualization tools such as Tableau, Quicksight, or similar. Experience with data modeling, warehousing, and More ❯

Data Analyst 📍 West London (3 days a week on-site) 💸 £55,000 - £60,000 About the Company A leading name in the UK property sector is on the hunt for a mid-level Data Analyst to join their growing data team. With a strong foundation in Business … Intelligence and a forward-thinking approach to tech, this company has spent the last five years investing heavily in their data infrastructure and are now gearing up to take things even further - including AI implementation over the next 6-12 months. 🚀 They're working on internal data projects … numbers, but also tell the story behind them. The Role You'll take the lead on key analytics initiatives, working end-to-end across data pipelines, visualisation, and stakeholder communication. It's a hands-on role with plenty of variety - perfect for someone who enjoys making sense of messy More ❯

have strong experience in Workday as an Application Specialist, but your experience should be coming from either a Learning modules, Workday Talent Management modules, Data analysis and reporting, learning management systems (LMS) and be an excellent Problem-solver OR within Workday Payroll modules, ideally UK Payroll, Expenses, Compensation … design, implementation, and management of talent and learning initiatives within the organization through the Workday platform. This role will involve analysing learning and development data, creating reporting, providing insights, and managing the configuration of Workday Learning and Talent modules to align with the businesses learning and talent development strategies. … performance management programs, talent reviews, and succession planning using Workday tools. As the Workday Application Specialist you will also be responsible for reporting and data analysis as follows: Analyse data from the Workday Learning and Talent modules to provide insights and recommendations for improving learning effectiveness and More ❯

investigations and using analytical tools to identify root causes and ensure timely resolution. Troubleshooting: Troubleshoot price changes and reviewing competitive air content/pricing analysis report. Cross-functional Collaboration: Work closely with various teams, including Product Management and Technology, to handle escalations, inquiries, and new initiatives, while supporting the … rollout of new features and products. Data Analysis: Research and analyze data trends to improve customer experience and reduce costs, providing continuous feedback to internal customers through meetings and reports. Fare and Pricing Management: Ensure new and adjusted fares are correctly integrated into booking systems, advise on … the travel or airline industry. Technical Skills: Proficiency in Global Distribution Systems (GDS), fare filing, and pricing technologies. Robust analytical skills and familiarity with data analysis tools. Communication Skills: Excellent verbal and written communication skills to effectively collaborate with cross-functional teams and present findings to stakeholders. Problem More ❯

that are used by some of the largest brands in the Automobile sector. We are looking to assist them in growing out a new data focused team to ultimately service the pipeline of clients in need of their support and expertise. Responsibilities: Designing seamless UI utilizing tools in a … proprietary system (HTML, CSS, Typescript) Participate in projects from inception, creating standardized tools for data analysis Contextualize information to showcase trends and patterns from data sources Transform technical data into understandable insights for stakeholders Develop interactive dashboards combining visuals with real-time data Contribute expert … analysis across program life-cycle phases Develop new APIs Key Skills: Graphic UI Design experience Experience with data visualization Knowledge of efficient UI development patterns Proficiency in Low-Code UI and API Development Experience developing UI from data pipelines Experience in data mining methods and operational More ❯

About Place Informatics Place Informatics are leaders in providing proven scientific analysis of Location Behaviour, Demographics and People, helping clients to minimise risk, understand spend and attract visitors. By harnessing the power of cutting-edge technologies including artificial intelligence and machine learning, our ‘big data’ solutions are revolutionising … in developing relevant, meaningful and understandable complex client reports, influence the development of our products, researching, and contributing to high-quality location and behaviour data products. You will: Translate complex data analysis into clear business value propositions. Visualize data to communicate insights effectively Engage with clients … to understand their business needs and processes Collaborate with Sales and Product Management to design impactful solutions Enhance data products through research, analysis, and innovation Work across teams to provide meaningful data insights for internal teams and clients, supporting location analysis, location strategy, retail planning, and More ❯

Key Responsibilities: Data Migration Analyze source system data. Map source data to target systems. Draft technical specifications for ETL processes. Collaborate with data engineers on pipeline development. Design and implement validation rules. Liaise with data quality forums to address issues. Data Governance Support implementation of … governance frameworks. Help define and enforce data rules. Promote accountability and security in data handling. General Responsibilities Collaborate with BAs and stakeholders to define data needs and use cases. Translate business processes into technical data requirements. Provide risk mitigation insights. Adhere to company policies (e.g., data protection, health & safety). Required Knowledge & Experience: Minimum 3+ years in data analysis, preferably in large or multinational organizations. Experience in large-scale IT transformations. Familiarity with CRM/ERP systems (e.g., Microsoft Dynamics, Salesforce). Proven experience in data governance and quality frameworks. Experience working More ❯

in creating automated workflows, integrating with other systems, and optimizing processes for efficiency. Power BI: Skill in designing and developing interactive dashboards and reports, data visualization, and advanced analytics. Microsoft Dataverse: Understanding of data modeling, data integration, and managing data within Dataverse. Power Pages: Experience in … extend the functionality of Power Platform solutions. PowerFX: Proficiency in using PowerFX for custom logic and calculations within Power Apps. DAX: Skill in using Data Analysis Expressions (DAX) for advanced data manipulation and calculations in Power BI. PowerQuery: Experience in using PowerQuery for data transformation and … PCF), to enhance the functionality and user experience of Power Platform solutions. REST API: Proficiency in developing and integrating REST APIs to enable seamless data exchange and interoperability between Power Platform solutions and external systems. Liquid Tags: Proficiency in using Liquid Tags for dynamic content rendering and customization within More ❯