121 to 145 of 1,928 Analytics Jobs in England

A small and rapidly-growing Analytics Consultancy are recruiting for experienced Data Scientists, with knowledge of Generative AI, to join their talented team. They are highly-regarded in the Data Science and Data Engineering industry, and specialise in delivering cutting-edge analytical solutions primarily on the Azure cloud platform, leveraging more »

of using SQL tools Experience working with databases - we currently use Teradata and SQL Server (Inc. SSRS and SSIS) Experience of working in an Analytics or MI team, manipulating large volumes of data and a good working knowledge of Microsoft Office tools, especially Power BI and Excel would also be more »

documents for business stakeholders. Qualifications and Experience: Minimum Experience: A highly numerate individual with outstanding attention to detail and hands-on experience in data Analytics . Demonstrated track record of efficiency, prioritisation, and delivering high-quality outputs in a fast-paced environment. Proven capability in multitasking and managing high-volume more »

and BI requirements, suggesting enhancements as appropriate. Highlighting opportunities based on your understanding of the business and knowledge of our data for where reporting, analytics or BI solutions can help to improve business performance. Essentials Skills required for a Business Intelligence Developer: Minimum of 2 years experience in a similar more »

identify the appropriate technologies and solutions to use in a given scenario. Extensive experience of the analysis and design of Data Warehouse, BI, Data Analytics or complex Data Migration solutions, including analysing source systems, designing ETL routines, resolving DQ issues, designing relational and dimensional models (conceptual and logical), developing reporting more »

diagrams Writing Software Requirements Specifications API interface define/design Database define/design Waterfall and Agile methodologies Cloud Computing Platforms (AWS, Azure) Data analytics (Power BI) Geographical Information Systems (GIS), especially geospatial data systems. Who we are: JBA began in 1995 and have grown to be one of Europe more »

hierarchies, and classifications to support financial reporting and analysis requirements. Develop and maintain documentation, including system configurations, user guides, and data dictionaries. Reporting and Analytics: Collaborate with FP&A and Data Office team to design and generate financial reports, dashboards, and ad-hoc analyses using system data. Support management in more »

organisation and Aviva is no different. Our Data Engineering team sits within Aviva Quantum our global Data Science Practise (covering areas including Machine Learning, Analytics, Data Engineering, AI and many more). You will form a vital part of our business, contribute to our first-class end-to-end solutions. more »

and efficiency gains within the revenue organisation Support sales team members with CRM system usage and report generation Collaborate with cross-functional teams, including analytics, marketing, finance, and operations, to optimise sales processes and enhance sales performance Participate in sales leadership meetings and provide analytical support to address sales-related more »

In a Nutshell: We are looking for an Engineering Lead to join our 15-month-old, rapidly growing, psychological AI startup to build B2B analytics and data products that tackle complex questions about human behaviour, and in doing so, tackle some of the most challenging issues of our time. You more »

London-based startup transforming how financial professionals access and use data. We are building a system of intelligence empowered by AI-driven automation and analytics: a category-defining product that supercharges users to extract knowledge and put it to work. Backed by top international venture funds and a stellar group more »

new capabilities for our global trading desk. The primary objective is to play a key role in the modernization and redevelopment of our trader analytics dashboard and play a significant part in implementing our firm's interoperability strategy. The project will involve building next-generation modern front-end and native more »

of common data service, data modelling, and experience with Dynamics 365 integrations. Familiarity with Microsoft Power BI and the ability to integrate complex data analytics into PowerApps solutions. Solid foundation in software development principles and practices, with experience in using Azure services for application development and deployment. Excellent problem-solving more »

. Collaborate with a team of ML Engineers, Data Scientists, and other key stakeholders to design, implement, and maintain data pipelines that fuel advanced analytics and AI-driven solutions . Embrace the role of a data evangelist , presenting at industry conferences, leading webinars, and authoring thought-leadership content to share more »

support efficient and reliable operations across multiple retail locations. Implement best practices for performance tuning, capacity planning, and disaster recovery. Manage Retail Data and Analytics : Oversee the collection, analysis, and interpretation of retail data to derive actionable insights for decision-making. Develop data models and reporting frameworks to track key more »

Building data pipelines to bring together information from different source systems that will integrate, consolidate, and cleanse data and structure it for use in analytics applications. Collaborate with Developers to design and implement scalable data pipelines for efficient data processing and analysis. Conduct exploratory data analysis to identify patterns, trends … Undertake and record relevant Continuous Professional Development (CPD) to develop knowledge and skills. Competencies Technical/Qualifications Degree, ideally in computer science, IT, statistics, analytics, mathematics or other related field. Proven experience in data engineering, data analysis/processing, machine learning techniques, data warehouses, data pipelines, preferably in a Financial more »

About the job Global Performance and Analytics Manager Location: United Kingdom (remote), Spain (Madrid) Reporting to: VP Global Performance, Analytics & Ops Support Swissport was incorporated in 1996. From its beginnings with operations at Switzerland's largest airports in Zurich, Geneva and Basel, Swissport has developed into a global leader. Today … in defining your own career journey, as Swissport can offer you a world of knowledge and personal development! You as the Global Performance and Analytics Manager The Global Performance & Analytics Manager is responsible to drive the global implementation of a KPI culture by setting standards across all business departments and … providing accurate and timely analytics and recommendations to address challenges and opportunities in the operations and ensuring that staff and managers have the tools and skills needed to use insights from data and analytics in their planning and decision making. In this role, close collaboration and coordination with headquarter stakeholders more »

play a pivotal role in optimising digital marketing efforts across various platforms. You will be responsible for leveraging data from web analytic, digital media analytics, and eCommerce analytics to uncover trends, identify opportunities, and provide actionable recommendations to help drive growth. You will: -- Use tools such as Google Analytics to … digital marketing performance and ROI Generate regular reports and dashboards to communicate key findings and trends You will need: -- Demonstrable experience in digital marketing analytics, with a strong understanding of digital media measurement -- A blend of skills across web analytics, digital media analytics, and eCommerce analytics -- Experience using platforms such … as Google Analytics and Brandwatch more »

Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java more »

analytical prototypes to production Generate actionable insights for business improvements Qualifications MSc in Data Science At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of LLM modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java more »

Data Engineer - Advanced Analytics Remote Essential Skills: Computer Science or equivalent education and experience BPSS (SC desired) 2+ years of data experience with data analysis and preparation, including experience with very large data sets Data manipulation and extraction using Python, SQL, AWS Redshift Skills required: Python, SQL, AWS Glue, AWS more »

run without error and are delivered within SLA. The role will primarily support the business with SAS, being used as the primary tool for analytics, data mining, data warehousing and production of MI/BI. Previous commercial experience in a data engineering/development role would be desirable, but is more »

get your teeth into - if you like to see your work have an impact, this is the place for you. With Data modelling, Cloud analytics and government wide digital services at the crux of this role – you’ll be required to hit the ground running with gravatas and advisory capabilities. more »

a trading and insurance company in London who specialise in using the latest Quantitative methods and AI/Machine Learning concepts to run risk analytics for their industry leading clients. They are seeking a Software Developer who is skilled in Python to build out a number of new systems for more »

fast-paced environment Bonus points if you have: Experience with cloud platforms (AWS, Azure, Google Cloud) Experience with front-end technologies Experience with data analytics tools and machine learning This is an incredible opportunity to join a company at the forefront of network technology. They offer a competitive salary, a more »