1 to 25 of 75 Permanent Analytical Modelling Jobs in the UK excluding London

available to join Duration: 06 months IR35: Inside Job description: Role Overview We are seeking an experienced Analytics Engineer to design and build scalable analytical data models that support business intelligence, reporting and commercial analytics. The role sits within a multidisciplinary data team responsible for delivering trusted analytical data products used across commercial and marketing teams. The ideal candidate will combine strong analytical thinking with advanced SQL engineering capability, and will have experience designing analytics-ready datasets used by BI tools or semantic layers. This is not a pipeline engineering role; we are looking for someone ...

senior specialist role focused on understanding the drivers of demand, outcomes, variation, inequalities and cost across our population. You will apply advanced analytical methods to complex system questions and translate findings into clear intelligence that supports senior decision making. The role will work closely with colleagues across analytics … focusing on advanced analysis, evidence generation and evaluation rather than routine reporting or dashboard development. Main duties of the job You will lead complex analytical and evaluative projects, applying methods such as regression, forecasting, segmentation, risk stratification, causal inference, impact evaluation, cost-effectiveness analysis and statistical modelling where ...

statistical tools and techniques data to identify patterns, relationships and trends to inform further development. Collaborate with data architects and engineers to ensure analytical outputs align with enterprise architecture and platform standards. Support the evolution of data architectures by contributing analytical requirements and feedback. Communicate analytical findings … evaluate emerging data techniques relevant to training analytics. Ensure analytics processes comply with security, governance, and regulatory requirements. Author and maintain documentation to ensure analytical processes are repeatable, auditable, and scalable. Any other duties required to meet the needs of the programme. Who we are looking for: Youll have ...

support our Revenue Management team in making smarter pricing decisions and maximising commercial performance across the business. What you will be doing: Lead the analytical approach to complex, high-value commercial and revenue management challenges, applying advanced analytics and data science techniques to deliver impactful business outcomes. Identify, investigate … quantify opportunities to improve revenue and margin performance across Parkdean Resorts. Partner with the Head of Revenue Optimisation to prioritise analytical initiatives and ensure focus is directed towards the highest-value opportunities. Continuously enhance forecasting, pricing and optimisation methodologies to ensure our revenue management systems evolve alongside the business. ...

Designing and supporting scalable data solutions across ingestion, transformation and presentation layers Strong SQL , including developing, optimising and troubleshooting queries for data transformation and analytical models Modern data engineering practices, including medallion architecture, pipeline design, version control, testing and performance optimisation Developing robust data models and semantic layers using ...

delivery. Establish measurable performance targets for analytics, tracking, classification and decision-support capabilities. Work closely with data scientists to translate machine learning and analytical models into production-ready features. Collaborate with software engineers, technical specialists and customers to refine requirements and validate delivered functionality. Monitor product performance using data ...

will bring a strong data engineering background, working hands-on where needed, and act as a technical authority defining best practice across data ingestion, modelling, integration, and governance. Experience working with Salesforce data is desirable, helping to ensure seamless integration between core operational systems and the analytical platform. … data architecture, aligned to Cooper Parry's strategy and enterprise standards Defining architectural patterns, principles, and standards for: Data ingestion Data transformation Data modelling Analytics and reporting Acting as a trusted advisor to senior stakeholders on data architecture decisions Microsoft Fabric Platform Leadership Designing and oversee solutions using Microsoft ...

risk exposures, including warehouse structures, utilisation, covenant compliance and associated risks. Act as a senior adviser to governance forums and executive stakeholders, translating complex analytical outputs into clear recommendations and business actions. Lead, coach and develop a team of analysts and modelling specialists, setting high standards for analytical quality, governance and stakeholder engagement. Drive continuous improvement across modelling, forecasting, reporting and automation capabilities to enhance efficiency, scalability and insight generation. Skills & Experience Essential Significant experience leading impairment, forecasting, stress testing or capital analytics activities within a regulated lending environment. Deep technical expertise in IFRS 9 impairment ...

customer for analytics capability development, working closely with the Data Engineer and Manufacturing Systems Integration Engineer to define data structures, traceability requirements, dashboards and analytical workflows. The successful candidate will help shape the evolution of Insights Hub from foundational time-series data visualisation and reporting through to advanced statistical … analysis, modelling, machine learning and predictive analytics capabilities. The analytics capability is expected to evolve in stages, beginning with establishing access to manufacturing and test data through time-series visualisation and traceability, before advancing into variable-to-variable correlations, process characterisation, feature engineering, statistical modelling, predictive analytics ...

About The Role Role Overview The Pricing Analytics Manager is responsible for developing the data, analytical capabilities, and decision-support tools that underpin the organisation’s pricing strategy. The role manages pricing-related data sources, builds analytical models, and provides insights that enable the business to optimise pricing … Channel Pricing, and Network Pricing teams, the Pricing Analytics Manager ensures that pricing strategies are supported by robust data analysis, actionable insights, and scalable analytical tools. The role also plays a key part in developing pricing optimisation capabilities, leveraging latest analytical techniques and technologies to improve price realisation ...

Data Science role, delivering data‐driven solutions and insights to support business decision‐making. Insurance industry experience is highly advantageous but not essential. Analytical & Technical Expertise – Strong analytical capability with proven experience in statistical modelling skills and data interpretation. Technical Skills – Proficiency in Python for data analysis … modelling and machine learning. Machine Learning – Experience building and evaluating machine learning models. Education – Degree in Mathematics, Statistics, Data Science, or another quantitative field. Communication – Strong verbal and written communication skills. Organisation & Time Management – Excellent organisational and time‐management skills. Experience & Knowledge Proven experience in data science and data ...

powered analytics and generate actionable insights using GCP, BigQuery, Looker, and Power BI. You will join the Commercial Analytics team, translating business priorities into analytical solutions, building semantic models and dashboards, and leveraging Generative BI to support decision making across multiple business areas. #J-18808-Ljbffr ...

large-scale datasets. Experience delivering products through the full development lifecycle, from requirements and prototyping to deployment and support. Proven ability to transform analytical models, data assets and business requirements into user-friendly, production-ready solutions. Experience collaborating with technical and business stakeholders in agile, cross-functional environments. Experience ...

needs, future trends, opportunities, and constraints across various domains. Essential Technical Skills & Qualifications SAC Expertise: Extensive hands‐on experience with SAP Analytics Cloud, including modelling, data blending, complex calculations, predictive analytics, and planning. Data Integration Skills: Proficiency in working with both live and acquired data sources. BW/4HANA … with data engineering teams and underlying data structures. Reporting & Dashboard Development: Demonstrable experience designing, developing, testing, and maintaining enterprise reporting solutions and dashboards. Data Modelling & Analysis: Strong analytical and data modelling skills, with the ability to develop effective models, calculations, and visualisations within SAC. Agile Delivery: Practical ...

permanent basis. The Financial Reporting & Analysis Manager would be responsible for the production of regular trading and performance reporting, budget and forecast modelling, standard campaign analysis, and the development of management dashboards. By delivering accurate, timely, and insightful financial information, the role enables stakeholders to monitor performance and identify … risks and opportunities. The Financial Reporting & Analysis Manager would be a Qualified Accountant who has advanced Excel and SQL skills. Advanced analytical and modelling skills. And have the ability to manipulate, interpret and present large datasets to support decision making. Duties of the Financial Reporting & Analysis Manager include ...

too. Core skills we’re looking for to succeed in the role: Technical Pricing Expertise: Strong technical knowledge of motor insurance pricing, burn cost modelling, rating structures, underwriting risk and claims cost drivers, with experience of statistical modelling, predictive analytics or machine learning techniques within a general insurance … cost models, claims frequency and severity models, loss ratio analysis, rating structure reviews and model enhancements. You’ll provide technical reviews and challenge to analytical outputs, ensuring modelling approaches, assumptions, data inputs and recommendations are appropriate, accurate and well documented. You’ll oversee the monitoring, maintenance and improvement ...

scalability and end-user experience. Apply data security controls and reporting governance best practices. Support testing, deployment and ongoing optimisation of reporting products. Data Modelling & Analytics Design robust dimensional models to enable accurate and consistent reporting. Build and maintain fact and dimension structures aligned to business needs. Work closely … with stakeholders to define KPIs, measures and reporting standards. Ensure data accuracy, consistency and trust across analytical solutions. Databricks & Data Platform Write and optimise SQL queries against large-scale cloud datasets. Collaborate with engineering teams to create curated reporting-ready data products. Support data validation, reconciliation and quality assurance ...

reporting. Support CRM and operational data integrations, including outbound data feeds, identity mapping, schema mapping, reverse-ETL patterns and monitoring. Create reliable ingestion and modelling patterns for acquired businesses, so future integrations are repeatable, auditable and faster to execute. Set data-engineering standards: definition of ready/done, code … Fabric. Expert SQL/T-SQL plus strong Python or PySpark, with a track record of building maintainable ELT/ETL pipelines and analytical data models. Strong Power BI and DAX experience, including semantic modelling, incremental refresh, performance tuning, model governance and capacity/cost awareness. Experience leading ...

Databricks and Spark SQL in enterprise environments. Proven track record delivering large-scale data migration or modernisation programmes. Expertise in relational, dimensional and analytical data modelling, including modern lakehouse and medallion architectures. Experience performing data profiling, lineage analysis, source-to-target mapping and data quality assessment. Strong understanding ...

patterns to reduce duplication and operational load Mentoring mindset: - Guide junior engineers - Improve team quality through reviews, standards, and shared practices Technical Skills Data Modelling: Designs analytical data models for multiple consumers, understands schemas, keys, and data grain, and balances normalisation versus performance using established and reusable modelling ...

RoleAs a Business Intelligence Team Lead, you will oversee a team of BI Developers and Senior Developers, ensuring high-quality delivery across dashboards, data modelling, analytics, and tooling initiatives. You will manage team workload, drive operational excellence, partner with stakeholders, and support the long-term development of BI capabilities … clear priorities. What You'll DoTeam Leadership & DeliveryLead a BI team, overseeing daily delivery, planning, and prioritisation. Ensure high-quality outputs across dashboards, data modelling, insights, and tooling activities. Review analytical output, modelling accuracy, and dashboard quality prior to stakeholder delivery. Supervise the allocation of BAU work ...

that keep our customers coming back for more. Ready to build the future of travel with us? About the RoleWe're looking for an Analytical Engineer to help shape the trusted data models, metrics and semantic layers that power decision-making across On the Beach. This role sits … intersection of data engineering, business intelligence and emerging AI capabilities. You'll help turn refined data into reliable, reusable and well-documented analytical products that can be trusted by teams across the business. You'll play a key role in making sure our data is not only accurate ...

delivering complex workforce demand and supply models that support strategic healthcare planning. The successful Data Scientist will work across a range of high-profile modelling projects, helping to transform workforce forecasting through advanced analytics, simulation modelling, and evidence-based decision making. Role Responsibilities Develop and enhance workforce planning … demand planning. Analyse complex datasets to understand workforce inflows, outflows, activity trends, and service demand across NHS settings. Apply system dynamics and simulation modelling techniques to improve existing models and develop new forecasting capabilities. Translate research evidence, operational data, and stakeholder requirements into robust analytical models and actionable ...

proof-of-value materials using approved enterprise tools, and coordinate with technology owners before any broader deployment or production use. Develop business-owned templates, analytical models, trackers, prompt libraries, reporting concepts, and workflow improvement ideas that improve Finance speed, consistency, and transparency. Apply practical product-style ways of working ...

trends, patterns and opportunities. Working closely with analysts, developers and other technical specialists, you will have the opportunity to contribute to the development of analytical models and data-driven solutions within a fast-paced environment. We are looking for a highly analytical and forward-thinking individual … trends and insights. Develop and enhance quantitative, mathematical and statistical models. Apply probability and statistical techniques to real-world problems. Develop, test and validate analytical models and methodologies. Use programming languages to analyse data and develop quantitative solutions. Work closely with developers to implement analytical models and solutions. ...