3 of 3 Remote/Hybrid Analytical Modelling Jobs in the Thames Valley

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 ...

strong focus on analytics, innovation, and customer outcomes. Data and pricing sit at the heart of their commercial strategy, with significant investment in technology, modelling, and decision-making capabilities. Their collaborative culture encourages curiosity, continuous improvement, and the development of new ideas. You will work alongside experts across pricing … growth objectives Analysing policy, claims, quote, and market data to identify opportunities for pricing optimisation Evaluating and implementing new data sources, methodologies, and analytical approaches Reviewing predictive models developed by actuarial and data science teams Determining the most effective application of model outputs within pricing algorithms Identifying customer segments ...