101 to 125 of 143 Permanent Statistical Analysis Jobs

implementing best practices for data governance and quality control. Previous experience: Proven experience in a similar role, with a strong focus on data management, analysis, and visualisation. Proficiency in Power BI and other data visualisation tools. Strong technical skills, including experience with SQL, ETL processes, and data warehousing solutions. … non-technical stakeholders in a clear and concise manner. Familiarity with data storage solutions such as Mongo Atlas and AWS S3. Key Requirements: Data Analysis and Reporting: Demonstrated ability to perform detailed data analysis and generate comprehensive reports. Business Acumen: Strong understanding of business operations and the ability … to align data insights with business strategies. Technical Proficiency: Proficient in ETL processes, SQL, and statistical analysis. Previous Experience: Proven work experience in projects that involved data analysis, problem-solving, building reports, BI tool implementation, dashboard development, and data integrations. Requirements: Strong communication and collaboration skills. Excellent organisational more »

dataset. These insights are instrumental in enhancing investors' decision-making processes and ultimately driving superior outcomes for their clients. Key Responsibilities: Conduct in-depth statistical research (primarily in R) on data generated by stock pickers throughout their decision-making cycles. Articulate data-backed insights to investment decision-makers in … a clear and concise manner. Collaborate with the development team to prototype decision analysis tools that offer actionable feedback to investment teams. Utilize advanced statistical techniques and modelling to identify and interpret patterns in actions and outcomes. Work closely with behavioural science experts to provide quantitative evidence in … superior returns for clients. Experience: Degree in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field. Strong quantitative skills with proficiency in statistical analysis and coding (Python, R). Experience in applying quantitative methods to financial data analysis. Exhibited excellence in academic and/or extra more »

industry experience in data science and materials science, complemented by a strong commercial background, are also encouraged to apply. Proven expertise in computational modelling, statistical analysis, and machine learning. Knowledge/Skills: Ability to craft compelling data-driven narratives for clients and stakeholders. Excellent analytical and problem-solving more »

and maintain stringent risk management protocols to monitor and control the risk exposure of managed accounts, adhering to fund policies and risk tolerance. Performance Analysis: Conduct in-depth analysis of traders and strategies to guide capital allocation and risk management decisions. Team Collaboration: Work closely with the investment … risk indicators . Advanced degree in Finance, Economics, Mathematics, Computer Science, or another relevant quantitative field. Exceptional analytical and quantitative skills , with expertise in statistical analysis and financial modelling. Outstanding communication and interpersonal abilities, with the skill to explain complex concepts to a varied audience. Team player with more »

have arisen during review of submitted client data. Serves as the day-to-day technical contact to address issues or discrepancies with data.Perform advanced statistical analysis, including regression modelling and additional statistical tests using SAS and/or R. Develop customized client reports based on outcomes of … statistical analysis. Additionally, creates new slide templates and SAS code to produce displays for client reports.Generate sales by expanding revenues from existing clients and by leading prospecting efforts with new clients.Lead people through the management and development of staff, including assigning, directing and evaluating work. Hires employees, conduct performance more »

future for generations to come. Requirements Graduate in STEM related subjects (Science, Technology, Engineering & Mathematics) Relevant experience working with large data sets to provide analysis and insight Knowledge of legislation/guidelines for presentation of data for compliance products Proven experience in statistical analysis Good communication skills more »

Principal Product Engineer to be responsible for project managing NPI activities within the semiconductor product engineering team. The role will involve yield and trend analysis as well as communicating with test subcontractors and addressing manufacturing, cost and yield issues. Understanding reliability and qualification of new devices will be an … will include: Strong semiconductor product engineering knowledge Experience of production mixed signal IC testers, Advantest, Teradyne A5, Catalyst or UltraFlex would be advantageous Failure Analysis and reliability knowledge Test Development, Process Engineering, Statistical analysis and Customer Support Strong communication skills Bachelors degree in Electrical Engineering or equivalent more »

will be closely aligned to the fundamental equity L/S portfolio managers, supporting them with portfolio construction/optimisation, factor modelling, tool building, statistical analysis and ad-hoc quant research projects. The fund are looking for those who have a strong quantitative equities background as well as more »

presentation skills. Knowledge of C++ or equivalent programming language. Scripting skills using Python, PERL, Unix. ATE (V93K/Teradyne) expertise is advantageous. Knowledge of statistical analysis tools (JMP etc) to support NPI and Production would be advantageous. Responsibility and Authority The position will report to the Test Development more »

a full time basis. The ideal candidate will possess expertise in machine learning, data science, and actuarial principles, particularly in motor and insurance claims analysis . This role will play a crucial part in shaping the company's strategic direction by providing data-driven insights and recommendations to refine … insurance products. Key Responsibilities: Develop and implement pricing models using machine learning and statistical analysis. Conduct data analysis to identify trends, anomalies, and optimization opportunities. Integrate actuarial methods into pricing strategies in collaboration with the insurance team. Provide data-driven recommendations to senior management for strategic decisions. Collaborate more »

is an AI-powered tool designed to generate initial drafts of Clinical Study Reports (CSRs) that accurately reflect the source material, including the protocol, statistical analysis plan, data tables, and figures. Our tool not only formats tables and figures but also crafts meaningful text around them, highlighting clinically more »

o Accountable for all line quality issues - containment, corrective action, risk assessment and problem resolution. o Continuous monitoring of the manufacturing processes by audits, statistical analysis or any other relevant technique to support continuous improvement. o Provide guidance to the shop floor staff on Quality Assurance and cost more »

legislation and its application Good understanding of regulatory and professional standards, guidelines and recommendations, e.g. RCR 'Towards Safer Radiotherapy Basic IT skills Basic statistical analysis knowledge and skills, and use of spreadsheets Desirable Knowledge of the key performance indicators/quality metrics associated with associated services/departments more »

team working. Able to work under own initiative and under pressure Excellent IT skills with experience of Microsoft Office including Excel. Data collection and statistical analysis skills. Problem solving and conflict resolution skills. Be creative/innovate to develop learning material and deliver engaging teaching sessions Desirable Ability more »

developing and optimising analytical methods to evaluate drug substances and products throughout their development stages. The successful candidate will also coordinate analytical development and analysis work at contract manufacturing organisations (CMOs) and contract research organisations (CROs). Responsibilities: Manage the development, qualification and validation of analytical test methods in … testing in support of cGMP operations. Ability to interface effectively with management and other groups or project teams. Computer processing literacy and experience in statistical analysis. Excellent verbal and written communication skills along with good organisational skills. Interested or know someone who might be? Reach out to ­­­­Ruhee Saleh more »

controlling the risk. IGAs Responsibility for development and preparation of the IGA including detailed energy and operational savings calculations, financial and energy modelling, economic analysis, energy systems specification and conceptualisation. Ensure outputs comply with the requirements of the programme management data base and validate/approve entries by Energy … the Construction teams to ensure buildability issues and constraints are addressed. Engage with the Commercial team for estimating inputs to IGAs including Tender Workbook Analysis (TWAs) and sub-contractor engagement. Detailed Design Planning the detailed design phase including resource schedules and sub-contract support with the Head of Design. … including use for technical documentation, Microsoft Excel – including use for technical purposes, e.g. to determine component/sub-system performance requirements, model technical problems, statistical analyses, test records, etc. Microsoft Project – programming skills, and Engineering design software (Hevacomp, Cymap, IES) Proven project management, attention to detail and the ability more »

spreadsheet applications *Experience with database applications *Experience in drafting reports and scientific documents Desirable *Knowledge of specialist clinical biochemistry techniques -- Mass Spectrometry, Immunoassay *Basic statistical knowledge *Experience in the provision of EQA services *Experience in the provision of EQA services, EQA material preparation, review of EQA data/statistical analysis and the interpretation of EQA reports *Experience in project management Additional Criteria Essential *Able to travel across all UHB sites as required by the role. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it more »

advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Operate as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application and financial impact analysis. Establish and maintain effective performance tracking; identify improvement … performance and project progress to management & business partners. Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creates more »

We are seeking a highly skilled Quant Analyst to join the London team. The ideal candidate will bring a wealth of experience in quantitative analysis, a deep understanding of financial markets, and a passion for leveraging data to drive trading strategies. This role involves close collaboration with various teams … optimise trading models and strategies. Here's what you'll be doing: Developing, implementing, and maintaining quantitative models for trading strategies. Conducting rigorous data analysis to identify market opportunities and risks. Collaborating with traders and other analysts to enhance trading algorithms. Utilising statistical and machine learning techniques to … sets. Continuously monitoring and improving model performance. Communicating findings and recommendations to stakeholders. Here are the skills you'll need: Strong background in quantitative analysis, finance, mathematics, or a related field. Track record of 6-18 months of real-world trading experience. Proficiency in programming languages such as Python more »

understand and recommend system enhancements to improve profitability and productivity. Additional responsibilities include, but are not limited to, validating the data produced and performing statistical analysis for the Operations Department Management and may also include providing management and direction to slotting staff. Responsibilities: Understands, utilizes and seeks continuous more »

will also be responsible for providing insights on actual performance vs forecast, working closely with colleagues within the workforce planning team, and using this analysis to build recommendations around future performance. Your expertise across a multi-site, multi-skilled environment will be essential to support the Trust in delivering … daily basis. The role will bear responsibility for escalations in poor performance or business continuity situations and will maintain the daily action log for analysis when required. The current rota pattern involved working until 1am and also some weekends. About us We employ 3,500 staff in 63 locations … data analysis. ECDL Experience Essential Awareness of core concepts of contact centre planning including: Service level and intra-day management Knowledge or experience of statistical analysis. Desirable Experience of planning/Intraday Management within a contact centre environment Experience of analysis and reporting of contact centre performance. Disclosure more »

monthly updates; Directors' meetings and CFTF meetings • Drive the compilation and distribution of regular reporting to executives • Support Risk Management Group with ad hoc analysis • Assist with training new analysts that join the team • Create new and develop upon existing analytical models to price individual service and commercial contracts … Conduct spend analysis to determine pricing for commercial contract renewals • Increase productivity by proposing new analytics and automating models and applications • Utilize tools such as R, Python, SQL to create process improvements and automations • Perform analysis and investigate relationships between key variables including Reps, Price Realization, GP% and … but are not limited to: • A minimum of a Bachelor's in business, finance, statistics, accounting or similar • Formal training in financial modeling and statistical analysis in Excel, Tableau, and similar applications • Basic familiarity with data analysis programming languages such as R, Python, SQL • 3+ years of more »

data-specific roles. Business Acumen and Strategic Insight, with the ability to translate business needs into technical specifications. Proficiency in data preparation, mining, and statistical analysis The agility to develop custom BI solutions that cater to specific organizational or functional needs. Strong stakeholder management and ability to lead more »

opportunity to gain experience across the spectrum of our work and make contributions, including the testing of radiation and imaging equipment, data handling and analysis, audits and software development work. You will have a BSc (Hons) degree or equivalent in physics or containing a major physics component and an … The post-holder will contribute to many aspects of the Department's work which includes testing of radiation and imaging equipment, data handling and analysis, audits and software development work. The post holder will be expected to work on all Trust sites and to travel to sites where external … major physics component Desirable MSc in radiation or medical physics or other relevant subject Experience Essential Project work involving practical experience of measurement, data analysis and report presentation Previous work or training experience in a science, technology or engineering environment Computer programming Experience in Microsoft 365 applications Desirable Big more »

e.g., Scikit-learn, TensorFlow) and visualization libraries (e.g., Matplotlib, Seaborn). - Strong SQL skills and experience with data visualization tools (e.g., Tableau). - Basic statistical analysis knowledge. - Experience in deploying production ML systems. - Familiarity with DevOps in a data science context (e.g., MLOps) is a plus. Tools currently more »