1 to 12 of 12 Contract Statistical Analysis Jobs

duties of the job In this role you will be the subject matter expert and provide expertise/training and advice on all relevant statistical work to the CD team. Your responsibilities include: Responsible for co-ordinating, planning and reporting results of statistical analyses of complex data on … the clinical services directorate as well as outside the organisation as appropriate. Being a core member of the transformational projects teams as the primary statistical point of contact, helping to guide and develop project strategy and plans based on statistical findings associated with all areas of blood components. … Evaluating and generating innovative ideas, supporting, and contributing to the development of strategy and improved service delivery. Maintaining a thorough working knowledge of statistical practices used in association with blood component collection, manufacture, distribution, and use. Managing statistical research projects as required in line with the business plan. more »

analytical skills, and the ability to turn data into actionable insights to improve our development and operational performance. Key Responsibilities: 1. Data Collection and Analysis: - Collect, process, and analyse data related to DORA metrics including Deployment Frequency, Lead Time for Changes, Mean Time to Restore (MTTR), and Change Failure … Rate. - Maintain and enhance data collection and analysis frameworks to ensure accuracy and reliability of data. 2. Reporting and Visualization: - Develop and maintain dashboards and reports that track and visualize DORA metrics. - Present findings and recommendations to stakeholders through clear and concise visualizations and reports. 3. Performance Measurement: - Continuously … preferably within a DevOps or software development environment. - Experience with DORA metrics and their application in a professional setting. Technical Skills: - Proficiency in data analysis tools such as SQL, R, Python, or similar. - Experience with data visualization tools such as Tableau, Power BI, or similar. - Familiarity with DevOps tools more »

expertise to maximise our impact using your knowledge, experience, and passion for your chosen field. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic … innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance fraud detection within the NHS. Clear communication of statistical outputs and results to non-technical stakeholders is crucial, influencing decisions like criminal intervention, policy changes, or risk metrics based on data-driven insights. … of line managing a team of analyst as part of a data science project. Knowledge and practical experience in designing algorithms including selection, using statistical and problem centric methods to design actionable outcome across a variety of data types. Proven practical experience and expertise in AI/machine learning more »

expertise to maximise our impact using your knowledge, experience, and passion for your chosen field. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic … innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance fraud detection within the NHS. Clear communication of statistical outputs and results to non-technical stakeholders is crucial, influencing decisions like criminal intervention, policy changes, or risk metrics based on data-driven insights. … of line managing a team of analyst as part of a data science project. Knowledge and practical experience in designing algorithms including selection, using statistical and problem centric methods to design actionable outcome across a variety of data types. Proven practical experience and expertise in AI/machine learning more »

expertise to maximise our impact using your knowledge, experience, and passion for your chosen field. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic … innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance fraud detection within the NHS. Clear communication of statistical outputs and results to non-technical stakeholders is crucial, influencing decisions like criminal intervention, policy changes, or risk metrics based on data-driven insights. … of line managing a team of analyst as part of a data science project. Knowledge and practical experience in designing algorithms including selection, using statistical and problem centric methods to design actionable outcome across a variety of data types. Proven practical experience and expertise in AI/machine learning more »

Embedding a data-driven approach to the design of the business Leveraging internal data to understand Customer Transaction and support broader design team Using Statistical Analysis to better understand customer experience and behaviours in order to create actionable change Translating data into practical analytics to influence and create … change. Presenting this data back to stakeholders in order to build new processes Essential Skills: Strong SQL experience Experience using advanced Statistical Analytics methods (eg regression, hypothesis testing etc) Strong experience of Customer Insights and Customer behaviours A track record of translating data into compelling stories and actionable change more »

will lead a small team of analytics experts and will deliver a range of solutions to our HR and business stakeholders from reporting and analysis to bespoke advanced analytics support. You will also help to shape the frameworks and strategies around responsible data governance and controls and contribute to … Brings curiosity and creativity to every situation to push boundaries and drive change; Is an excellent communicator and facilitator, with high capability in problem analysis, framing and hypothesis building; Translates people data insights into actionable strategies and scalable solutions; Uses data to tell a story and drive business decisions … best practice globally and apply it as appropriate within Experian. More about you Experience in Oracle SQL, Python and R, exposure to data science & statistical packages would all be beneficial Strong business acumen and strategic thinking. Experience working in a Global Human Resources, Finance, Analytics or Consultancy environment is more »

Quality Improvement qualification. Experience Essential Significant experience within an information environment Detailed knowledge of information requirements and standards within a healthcare environment. Experience of statistical analysis of highly complex information. Experience of using a structured project management approach to deliver projects within timescales. Experience of communicating complex issues more »

and appropriate reports to accurately report on delivery of key performance metrics, highlighting where programmes are off track for delivery agreed priorities. To provide statistical analysis and profiles of trends within performance information, to guide early warning of delivery challenges and support mitigating decisions. About us Provider collaboratives more »

and appropriate reports to accurately report on delivery of key performance metrics, highlighting where programmes are off track for delivery agreed priorities. To provide statistical analysis and profiles of trends within performance information, to guide early warning of delivery challenges and support mitigating decisions. To further develop Transformation more »

Experience in improvement in an engineering setting would be beneficial. Experience or knowledge of how to contain major issues. Core Duties Completing Root Cause Analysis of significant quality issues using recognised techniques e.g. Ishikawa, 5 Whys, relevant statistical analysis of data Responding to and containing major quality … Traffic in Arms Regulations (ITAR)) (where applicable) Skills Microsoft Office (excel in particular) Mini tab & SAP would be desirable Qualifications Six Sigma Root Cause Analysis PFMEA Engineering degree Recognising the restricted nature of the work there is a requirement for the candidate to be eligible to obtain Security Clearance more »

perform periodic quality control testing on a range of radiographic and fluoroscopic equipment to the required standards and guidelines. To carry out scientific and statistical analysis and interpretation on those test results in order to identify and diagnose faults and areas for improvement. Make judgements and recommendations based … on that analysis and appropriate consultation with senior staff. Communicate verbally and in writing all relevant findings and make recommendations on courses of action to the clients. Assist in implementing documents, practice and procedures that assist our clients in complying with legislation and best working practices. Perform wipe testing more »