3 Permanent Exploratory Analysis Jobs in the UK

Job Overview: We are seeking a skilled Data Analyst to help drive business insights and strategy through analysis of large data sets. The Data Analyst will work cross-functionally to collect, structure, analyze, interpret, and clearly present data findings that inform business decisions across the organization. Responsibilities: Consult with … for collecting structured and unstructured data from a variety of internal systems and external sources Organize, cleanse, and validate raw data to prepare for analysis Perform exploratory analysis to uncover patterns, anomalies, and relationships in data using statistical modeling and data visualization tools Develop insightful reports, presentations … and dashboards to concisely summarize analysis and effectively communicate findings Make recommendations for business process optimizations supported by data trends and external benchmarks Identify new opportunities or developments through continual analysis of data from various business areas Requirements: 3+ years professional experience as a Data Analyst, Business Analyst more »

and compliance of clinical trial operations and provide essential support, oversight, and act as the main point of contact for their laboratories engaged in exploratory analysis of patient samples. You will be responsible for: Implementation of the company's quality management system relevant to GCP, including laboratory analysis more »

the Data Science & Advanced Analytics team. Leads on the development and implementation of data science and advanced techniques in response to business questions including exploratory analysis, machine learning, natural language processing, data linkage, statistical and predictive modelling, data visualisation and emerging techniques such as the application of generative … strategic vision. Experience of mentoring and leading the professional development of Data Scientists or analysts, ensuring compliance with relevant standards. Desirable Experienced in the analysis and interpretation of health or NHS related statistics. Experience of loss/fraud analytics Experience of contributing towards a Data community. Qualifications Essential A … first- or second-class honours degree level qualification in a numerate discipline, computer science or an equivalent subject requiring very high levels of statistical analysis Desirable Master's Degree with Computer Science, Data Science, Mathematics or Statistics, or a subject requiring very high levels of statistical analysis Evidence more »