2 of 2 Permanent Quantitative Analysis Jobs in Yorkshire

KPIs to inform business decision making and support the Security & Loss Prevention operations in their day to day tasks and responsibilities • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, training, and documentation • Apply data mining and quantitative analysis to understand how our customers interact with us and identify the … best way to improve the customer experience and meet our loss reduction goals • Acquire various data sources to enable holistic analysis at a global level • Establish performance benchmarks, conduct analyses, and prepare reports on all key CMRS goals and metrics • Develop and maintain standard operating procedures, emergency response procedures, and preventive maintenance programs. Ensure standardization and consistency with best … KPIs to inform business decision making and support the Security & Loss Prevention operations in their day to day tasks and responsibilities • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, training, and documentation • Apply data mining and quantitative analysis to understand how our customers interact with us and identify the More ❯

Data Scientist – Quantitative Hybrid (3 days in Leeds) | Full-time | Permanent Salary: £50-60k + excellent benefits An exciting opportunity has opened up at a fast-growing insight and strategy consultancy for an experienced Data Scientist to lead the development of their in-house data science capabilities. This is a newly created role where you'll shape the … You’ll work on: Advanced analytics projects (segmentation, conjoint, MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic data and machine learning Collaborating with marketing to shape new, data-led propositions Upskilling team members in data science and statistical thinking Representing … ll Need 5+ years of data science experience, ideally with at least 2 years in a research or analytics agency working with survey or behavioural data Strong command of quantitative analysis methods , including regression, segmentation and more advanced statistical techniques Proficiency in tools like Python, SQL, SPSS, Q or R Confidence working with and integrating non-survey data More ❯