1 to 25 of 36 Permanent Analytical Modelling Jobs in England

summary The Head of Analytics (Data Modelling) will work alongside the Head of Analytics (Business Intelligence) to lead the Trust's analytics, data science and reporting functions, ensuring delivery of high-quality, timely, and actionable intelligence to support operational performance, strategic planning, quality improvement, and clinical decision-making. … postholder will act as the Trust's senior expert on all aspects of data modelling, championing a data-driven culture, modernising analytical methodologies, and ensuring compliance with all national reporting and regulatory requirements. Main duties of the job Lead the design, development and maintenance of data models ...

data flows, report specifications, and wireframes. Partner with the Data Engineering and BI teams to define and implement robust data pipelines, reporting solutions, and analytical models that support strategic decision-making and operational efficiency. Analyse data, including identifying sources, assessing data quality, defining lineage, and ensuring adherence to data ...

compute management, Spark job optimisation * Relational databases: PostgreSQL at production scale - query optimisation, indexing strategies, table partitioning, replication, schema design for both OLTP and analytical workloads * MongoDB - document modelling, aggregation pipelines, indexing strategy, replica sets; clear judgment on when document vs relational storage is the right architectural call … Containerisation: Docker and Kubernetes-based deployment of data workloads; reproducible, environment-agnostic data infrastructure * Data modelling for analytical workloads - dimensional modelling, data vault, or equivalent; schema evolution, slowly changing dimensions, and downstream impact analysis * Stream and batch processing patterns; late data handling, watermarking, and backfill strategies; throughput ...

equivalent BI tools for self service reporting. Capability in Python for analysis and insight generation is highly desirable. Experience building or supporting predictive insight, analytical frameworks or models that influence decisions. Proven ability to operate across strategy and delivery, owning outcomes and engaging senior stakeholders. Strong understanding of scalable ...

working from clean, reliable data Experiment with AI and automation tools to build smarter, faster workflows across the operations function Act as a proactive analytical partner to stakeholders across Sales, Marketing, Finance, and Customer Success - translating data into clear recommendations and helping the business move faster … objects and fields, and making the CRM work for the business Experience with BI tools (Tableau, Power BI, Looker, or similar) Strong financial and analytical modelling skills - you build models in Excel or Google Sheets that are accurate, sustainable, and easy to understand Exceptional communicator - you write ...

with structured and unstructured data sources including: Financial statements and management information Contracts, legal documents, and data room materials Operational and customer data Build analytical dashboards, reports, and executive‐level summaries for deal teams. Collaborate with AI Engineers to: Define analytical requirements Validate model results Improve data quality … processes Transaction workflows and timelines Financial statements and deal value drivers Experience working under deal pressure and tight deadlines . Analytics/AI Strong analytical skills with experience interpreting AI/ML outputs . Hands‐on experience with data analysis tools such as: Python, SQL, Excel BI tools (Power ...

provide specialist advice and guidance on data, analysis and measurement within a wide range of domains, with a focus on demand and capacity modelling, and productivity and efficiency analysis and reporting, developing operational and performance management reporting, indicators and dashboards to support effective decision making, business planning, service delivery … improvement. Main duties of the job The post holder will have the skills and experience to provide in-depth analysis, forecasting and modelling by analysing highly complex, multi stranded data, they will have advanced SQL, Excel, python/R and a high level of wider technical skills with ...

ability to work in a fast-paced, high-demand work environment. Excellent communication and strong interpersonal skills are required . Strong administrative, organizational, analytical and technical skills and focused attention to detail. Experience with Microsoft PowerPoint, Excel, ADO, and Wiki and data visualization tools . Ability to multi-task … industry - standard and cutting-edge technologies . Gain k nowledge of agile & traditional project/program management, data engineering, business intelligence, analytical modeling , and the energy & commodities marketplace . Establish and cultivate relationships with team members to foster collaboration and open communication, contributing to a positive team environment. ...

Within 6 months: You’re owning datasets and delivering end-to-end projects with stakeholders Within 12 months: You’ve significantly improved data quality, modelling standards, and self-serve adoption across our Marketing and Commercial teams. Key Responsibilities Design, build, and maintain scalable, well-tested data models using … support consistency across reporting Skills and Experience 3+ years’ experience as an Analytics Engineer, BI Engineer, or similar Strong hands-on experience with dbt (modelling, incremental models, macros, testing, documentation) Advanced SQL skills and solid understanding of analytical data modelling (Kimball, Star schema, etc.) Experience working with ...

major financial institutions. With programmes running across the UK and Europe, they are expanding their team to support large-scale data science and modelling initiatives. They are looking for a Software Engineer specialising in Analytics & Insights to design and build enterprise analytics products. The role focuses on developing high … quality datasets, dashboards and analytical tools that help business stakeholders make better decisions using data. Key Responsibilities Design and build analytics datasets and semantic layers for enterprise reporting Develop dashboards and analytical products used by business stakeholders Translate business questions into measurable metrics, dashboards and insights Design reusable ...

Type: Permanent Role Description We’re looking for an Analytics Engineer to play a critical role in enabling data access, platform operations, and analytical data modelling across Live Nation's international data ecosystem. You will work with rich datasets and manage data workflows in large-scale data environments … Engineering, analysts, and business stakeholders, you will drive data migration, integration, and platform improvements, while contributing to the delivery of high-quality dashboards and analytical outputs. What we can offer you Live Nation offers impressive employee benefits including tickets to shows and festivals and unlimited annual leave. The Farmiloe ...

data is accessible, trusted, and used effectively to support operational and strategic decision-making. This is a hands-on role combining data engineering with analytical delivery, reporting to the Global IT Manager, with a clear opportunity over time to take on greater technical ownership and help shape the direction … support scalable data solutions across ingestion, transformation, and presentation layers Strong SQL skills, including developing, optimising, and troubleshooting queries to support data transformation and analytical models Understanding of medallion architecture and modern data engineering best practices, including data pipeline design, version control, testing approaches, and performance optimisation techniques Confident ...

gather, manipulate and interrogate data from multiple sources and present it in a clear, usable format to inform decision-making across the organisation. Data Modelling & Insight Production Analyse trends, patterns and performance drivers across multiple data sets, including but not limited to arrears, repairs, voids, complaints, satisfaction, compliance, assets … financial indicators. Build analytical models to explore relationships, hotspots and opportunities for improvement. Develop scenario-planning tools (e.g., void turnaround, EPC uplift, service demand forecasting). Prepare, cleanse and structure data from multiple sources to create reliable, reusable analytical datasets. Benchmarking & Comparative Insight Produce benchmarking dashboards reports comparing ...

etc.) Design reliable ingestion processes from APIs, databases, and file-based sources Apply best-practice pipeline design patterns for resilience and re-runnability Data Modelling & Analytics Enablement Design analytical data models that are performant, maintainable, and business-friendly Apply dimensional modelling techniques for BI and reporting … joins, optimisation) Hands-on Python for data processing and pipeline development Experience with Microsoft Fabric and Power BI (datasets, semantic models) Understanding of data modelling for analytics and reporting Familiarity with CI/CD, testing, version control, and data quality practices Exposure to data mesh/domain-oriented data ...

monitoring. Key Responsibilities Machine Learning Development • Develop, train, and optimise machine learning models for production applications • Work with large datasets to build predictive and analytical models • Collaborate with data scientists to transition models from research to scalable production systems ML Engineering and Deployment • Design and maintain machine learning pipelines … engineering, and model optimisation • Understanding of MLOps practices, model deployment, and monitoring • Experience working with cloud platforms such as AWS, GCP, or Azure • Strong analytical thinking and problem-solving skills Experience Required • 3–5 years’ experience in Machine Learning Engineering, Data Science, or AI development • Experience deploying machine learning ...

cloud infrastructure for our clients § A deep grounding in data: for example, you should have experience of translating business data and requirements to analytical data models (e.g. Kimball dimensional modelling) § A broad understanding of data and AI: across data engineering, data visualisation, generative AI and automation § Experience leading ...

Senior Data & Modelling Scientist page is loaded## Senior Data & Modelling Scientistlocations: High Wycombetime type: Full timeposted on: Posted Todayjob requisition id: JR29907As proud bakers and chocolatiers and custodians of iconic global brands, we don’t compromise on the quality of ingredients in our products or on the people … innovation through product development, continuous value improvement and consumer perceived quality superiority vs. the competition are critical.This is a critical role responsible for building analytical tools and models that translate the results technical results into innovative and sustainable systems that help to accelerate the idea to product process. This ...

customer relationships. The Role Own and continuously improve lifetime value (LTV) and core revenue metrics across multiple products and customer journeys. Enhance and maintain analytical data models, ensuring reliability, performance and scalability as products and revenue streams evolve. Take ownership of key marketing and revenue dashboards, ensuring stakeholders … trust and act on the insights. Support experimentation and A/B testing, providing analytical input for strategic, non BAU initiatives. Partner with stakeholders across marketing, product and strategy to interpret performance, explain drivers and guide decision making. Contribute to strategic insight projects including customer segmentation, contact base analysis ...

making. You will shape how stock moves, how warehouses operate, and how the supply chain evolves as the business scales internationally. If you enjoy analytical freedom, hands-on problem solving and real commercial impact, this is an opportunity to step into a core role at a pivotal time. … Conduct cost analysis across postage, shipping and fulfilment methods. * Design, run and evaluate A/B tests and experiments across supply chain processes. * Build analytical models and reporting using SQL, Python and Tableau or similar BI tools. * Mentor at least one analyst and guide them through transformation-focused projects. ...

Applied sophisticated presentation and visualization software to effectively communicate analysis/results to key collaborators Partner with the broader Finance organization to build robust analytical models, tools, and processes, and provide superior service to business partners/internal clients Cross collaborates with the team, learning other parts … formulas Experienced in Power BI, including DAX formulas Strong experience in SQL (or similar BI Tool) Skills in Python would be highly desirable Strong analytical and complex Financial Modeling skills, with experience working with complex financial data to produce analysis, including trend, forecast, and critical metric analysis, generating insights ...

pipelines that underpin our insights — including detection, total site quantification , and gas modellin g for source localisation and emission estimation. Using your strong analytical and problem-solving skills, you will work with complex real-world datasets from field deployments and apply a combination of Bayesian inference, machine learning … data-driven modelling techniques to deliver robust, interpretable results. We are looking for a hands-on, experienced data scientist who can quickly understand our domain, work independently, and bring proven expertise in developing and improving analytical workflows. Working closely with the Mirico team, you will help drive ...

Following a recent change in ownership, the business is undergoing a significant transformation programme — bringing finance processes in-house and building out its reporting, analytical and modelling capabilities to better drive business performance. This is a unique chance to play a central role in shaping … cost base, including the introduction of an agile rolling forecast process Development of driver-based forecasting Support business planning by providing financial analysis and modelling Support wider strategic planning, budgeting and forecasting processes Other Contribute to ad hoc financial projects and requests as part of the overall finance function ...

data products, giving you exposure to both real-world commercial problems and scalable internal product builds. Their focus sits heavily in customer intelligence, predictive modelling and behavioural analytics across sectors including utilities, telecoms, financial services and charities. This is a strong opportunity for someone who wants broader ownership than … focused DS role. This role will sit at the intersection of product, analytics and machine learning. You’ll help prototype, test and shape new analytical products, building models that directly influence how clients engage customers, optimise collections and improve commercial performance. Key Responsibilities • Build and optimise predictive models including ...

Broking teams to translate business requirements into technical solutions. Futureproofing – Drive the evolution of the data platform, ensuring adaptability for new data sources, analytical models, and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure … Synapse, or Azure SQL). ✅ Dimensional modelling/DWH Design ✅ Medallion Architecture ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies for data platforms. ✅ Previous London Market Insurance experience Why Join? Greenfield Project – Work on an all-new data platform ...

into scalable, real-world solutions that make a genuine impact. As an Engineering Analyst/Data Scientist you will be doing: Developing and implementing analytical models to monitor structural health, performance, and loads Analysing large datasets from sensors, simulations, and operational logs to uncover valuable engineering insights Translating core … engineering principles into data-driven algorithms and analytical tools Collaborating with product, analytics, and software teams to ensure seamless platform integration Training and validating models using both experimental and real-world operational data Contributing to technical documentation, system monitoring, and client-facing reports and visualisations What you'll need ...