26 to 50 of 130 Statistical Analysis Jobs in England

audit performance metrics and data to identify trends, and opportunities for process development/optimisation. Lead internal audit corrective action process, including root cause analysis, corrective action implementation, and verification of effectiveness. Monitor and track internal audit performance, providing regular updates and reports to senior management. Manage and develop … years of experience in quality management, preferably in the automotive or motorsport industry. Strong understanding of quality management systems, quality processes, auditing methodologies, and statistical analysis techniques. Proven track record of driving quality improvement initiatives and implementing best practices within a manufacturing/engineering environment. Excellent communication, negotiation more »

As an international service provider for pharmaceutical research, Numerus provides high-quality statistical analysis as our contribution to improving healthcare through medicine. Headquartered in the UK, west of London, and with offices in Germany and Switzerland we are proud to be the analytical service provider of choice for … are actively looking to expand our team in Wokingham with a permanent position on a full or part-time basis. Your role: Applying innovative statistical approaches to solve novel data challenges Leading projects, ensuring efficient project management, compliance, and high-quality deliverables Analysing phase III clinical trial data in … order to support HTA submissions Providing statistical consultancy to internal and external customers Planning, analysing, and visualising observational and real-world data Supporting systematic literature reviews, data extraction, and analysis Critically appraising quality and reliability of data sources to support HTA decision-making Mentoring junior colleagues Contributing to more »

protocol positions or established institutions. Working with the Strategic Engagement Coordinator, you will track trends in priority audiences through direct engagement, research, polling and statistical analysis and analytics; as well as design and recommend PD strategies to connect with priority audience sectors to promote understanding of U.S. policy. … States are all required. Must have general knowledge of project management, including defining project objectives, outcomes, and assessment methods. Knowledge of marketing techniques, market analysis and analytics, and customer service standards in the United States and United Kingdom; knowledge of trends in EOL and EV audience engagement; understanding of … and video skills are required. Must have good numerical skills to develop and manage project and grant budgets; must be able to develop descriptive statistical analysis of relevant audience segments and to describe the outcomes of Public Engagement activities and initiatives. Availability: Must be available to travel throughout more »

proven track record in creating operating procedures, call scripts, and other relevant guidance documentation for Helpdesk staff. They should also be able to provide statistical analysis to improve the Helpdesk service. We are seeking someone who has set and achieved performance targets for Helpdesk staff and can effectively more »

data analysis Applying a broad range of techniques (A/B hypothesis testing, multivarate test,data exploration, data preparation, big data analytics, visualisations, statisticalanalysis, business analysis) for gatheringthe insights and identifying meaningfultrends in the data Generating tactical analysis to distilthe insights, identify opportunities & make recommendations Articulating trends … insights tailored to the audience and business needs Defining business dashboard requirements for Qlik developers Performing data exploration, cleaning, and aggregation in preparation for analysis Proactiveness and ability to work autonomously and propose practical and differentiated solutions to problem statements and good expectationmanagement Skills required for the job Business … analysis Statistical analysis, such as time series, A/B and multivariate tests Data visualisation for business presentations and dashboard design Commercial product analysis experience Delivering effective and engaging presentations to a variety of audiences Data engineering as necessary to pull the data from the databases more »

data analysis Applying a broad range of techniques (A/B hypothesis testing, multivariate test, data exploration, data preparation, big data analytics, visualizations, statisticalanalysis, business analysis) for gathering the insights and identifying meaningfultrends in the data Generating tactical analysis to distil the insights, identify opportunities & make recommendations … insights tailored to the audience and business needs Defining business dashboard requirements for Qlik developers Performing data exploration, cleaning, and aggregation in preparation for analysis Proactiveness and ability to work autonomously and propose practical and differentiated solutions to problem statements and good expectation management Skills required for the job … Business analysis Statistical analysis, such as time series, A/B and multivariate tests Data visualization for business presentations and dashboard design Commercial product analysis experience ·Delivering effective and engaging presentations to a variety of audiences Data engineering as necessary to pull the data from the more »

reporting tools plus maintaining the existing ones up and maintain partnership with the third-party provider that enables self-serve data access ad-hoc analysis and insight per operational meetings be that shallow or deep dive data models and conducting statistical analysis YOUR SKILLS AND EXPERIENCE To … be successful when applying for this role you will need: with owning the data visualisation platform within Tableau experience in data mining, statistical analysis and predictive modelling experience using SQL to DBT, big query or other cloud data warehouses worked cross-functionally with a wide range of data more »

maintaining the existing ones Set up and maintain a partnership with the third-party provider that enables self-serve data access Perform ad-hoc analysis and insight per operational meetings be that shallow or deep dive Building data models and conducting statistical analysis YOUR SKILLS AND EXPERIENCE … be successful when applying for this role you will need: Experience with owning the data visualisation platform within Tableau Proven experience in data mining, statistical analysis, and predictive modeling Strong experience using SQL Exposure to DBT, big query, or other cloud data warehouses Previously worked cross-functionally with more »

Business analysis Statistical analysis, such as time series, A/B and multivariate tests Data visualisation for business presentations and dashboard design Commercial product analysis experience Delivering effective and engaging presentations to a variety of audiences Data engineering as necessary to pull the data from the more »

data modelling. A strong problem solving mindset. Experience working with Radar. Previous experience in the Insurance industry. Motor Pricing Knowledge. Responsibilities: Production of business analysis reports. Maintenance of analysis programs written in SAS, RADAR, and other software packages. Write new analysis code using SAS, RADAR, and other … EMBLEM, and other software packages. Monitor, maintain, update and improve existing predictive models. Produce timely and accurate information for management decision-making purposes. Apply statistical techniques including generalised linear modelling and non-linear methods to improve the performance of the company. Qualifications: Minimum 2:1 in a numerical undergraduate … discipline Strong background in statistical methods Experience of personal lines insurance analysis is an advantage Experience of SAS, Emblem, Excel and advanced statistical techniques Strong mathematical skills Strong problem-solving skills, with the ability to adopt a logical approach to solving problems Excellent data and statistical more »

/Quantitative/Economist Role: Senior Statistician Company: AI PropTech Salary: up to £80,000 Location: London – Hybrid Responsibilities: • Explore the data through thorough analysis to unveil statistical indicators and patterns within our datasets. • Examine the structure and integrity of the data, detecting anomalies or discrepancies. • Your proficiency … in statistical analysis, data modelling, and problem-solving will play a critical role in guiding the trajectory of our products and services. • Gauge the significance and scale of the data to support decision-making. • Choose appropriate statistical methods and algorithms tailored to project needs. • Prototype data models … to tackle real-world issues and refine them as necessary. • Utilise Python (and SQL) to develop and enhance statistical models. Key requirements: • Demonstrated expertise in roles such as Statistician, Trader, Economist, Quantitative (Quant) Analyst, or comparable positions. • Proficient in Python, SQL, and Excel for data manipulation, analysis, and more »

and dashboards for the project and external clients. Data Organisation : Structure data to ensure compliance with WBS, CBS, and OBS for consistent reporting. Trend Analysis : Use data to predict trends and perform statistical analysis, visualising data in user-friendly formats. Digital Reporting : Implement digital reports and dashboards … using data from the Data Lake. Support Monthly Reports : Provide intelligent information and analysis for monthly report production. Training and Support : Develop training materials, conduct sessions, and provide user support. System Administration : Manage system configuration, testing, user administration, and licence management. Innovation : Attend industry events to innovate and advance more »

a variety of customers: Detailed knowledge on a range of AI techniques (e.g. supervised and unsupervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.) Experience using Python, R or Spark to extract insights from data Knowledge more »

commercial goals. You'll lead the data frameworks, support senior stakeholders, and manage a small analytics team. Qualifications: - Proven experience in a global data analysis role. - Proficient in SQL and delivering quick insights. - Advanced knowledge of customer analytics methodologies. - Expertise in Google Analytics and web analytics solutions. - Strong storytelling … with tools like Tableau or PowerBI. - Detail-oriented with excellent problem-solving skills. - Experience presenting to non-technical stakeholders and managing projects. - Proficiency in statistical analysis tools such as Excel, SPSS, and SAS. more »

currently in an exciting time of growth. THE ROLE As a Customer Analyst, some of your main responsibilities will be: Preparing and presenting compelling analysis findings to the senior management teams. Providing actionable insights of the back of analysis completed on customer and marketing data, using SQL. Own … projects end-to-end and manage the process. Work mainly on customer and marketing data sets looking at; customer LTV, churn, retention, marketing channel analysis, ROI etc. YOUR SKILLS AND EXPERIENCE A successful Customer Analyst will have: Advanced experience of SQL, Tableau/Power BI and R or Python. … Commercial experience carrying out statistical analysis and predictive modelling. Highly numerate with a strong commercial acumen. Educated to a degree level in a STEM subject. THE BENEFITS A salary of £40,000-£45,000. Comprehensive benefits package. Lots of flexible working - remote first. Lots of ownership of projects. more »

sports betting models. Please do not apply if you don't have the experience* Our client is a leader in the field of developing statistical models and analytical frameworks for sports, predominantly football. Their models are utilised by media, sports clubs, bookmakers, traders and syndicates, to make data driven … MatPlotLib etc Experience working with large datasets in SQL and RDBMSs, and ability to identify and fix data quality issues & perform initial exploratory data analysis Interest in sports and betting/prediction/probability problems Experience with statistical analysis and predictive modelling - you don’t need to more »

with regulatory and industry standards Monitor model performance tests and assess the appropriateness of models in order to demonstrate policy adherence Conduct mathematical/statistical analysis to calibrate and enhance risk models Collaborate with colleagues on key policy and methodology development Documentation of risk polices and models to more »

conjunction with Marketing, Sales & Supply Chain Managers to develop, progressively improve forecasting process, improve accuracy and reduce forecast volatility through co-ordinated innovation activity. Analysis of historical trends, PSI and market trends on a weekly basis using statistical analysis tools to generate weekly forecasts. Collect and review …/international events. Monitor periodical performance measures and supplier/customer non-conformance to enable process improvement in the Supply Chain. Provide fact-based analysis with a corrective action plan Build on collaborative working relationships with key customers to drive forecast accuracy, process improvements, and free flow of information more »

related field An understanding of online advertising and familiarity with branding and performance advertising and marketing frameworks, including ad effectiveness measurement techniques Experience with statistical analysis, including but not limited to experimental design, modelling, or advertising research Experience building connections with customers and team members through effective communication more »

to colleagues. Share your data insights with diverse audiences, adapting your communication style to match the stakeholder landscape. Person Specification: Essential: Develop effective data analysis specifications. Lead the design and analysis of intricate datasets, showcasing analytical skills. Possess a solid understanding of statistical principles, gained through qualifications … business context using various formats (reports, charts, infographics). Command advanced skills in Power BI for compelling data visualizations and/or SPSS for statistical analyses. Speak and write fluently in the language of data, effectively conveying complex analyses to diverse audiences. Foster relationships with internal and external stakeholders more »

firm maintain ISO27001 and PCI certifications Provide an escalation path for information security issues, incidents and enquiries Coordinate the production of relevant reports and statistical analysis required for ISMS Management Review Supporting the training, induction and awareness program for employees And you: The ideal candidate for the Information more »

and acquire decision-grade data about the public—what consumers, voters and citizens think and do. The Role: You will be the research manager analysis lead at the organization, you’ll be a foundational part of a fast-growing research data team which works in lockstep with the 10+ … also be welcomed. The ideal candidate should be able to come to identify the top 2-3 findings for each client brief through data analysis — and express these in well-structured PowerPoint decks and memos Experience in conducting different types of statistical analyses ideally on panel data — principal … component analysis, factor analysis, multivariate regression and cluster analysis The benefits: As a Research Manager, you can earn up to a base of £60,000 plus an aggressive benefits package How to apply: Please register your interest by sending your Resume to Louiscollins@harnham.com or via the more »

Develop and implement data-driven solutions using machine learning, statistical analysis, and data visualization techniques. * Design, build, and maintain data pipelines and ETL processes to collect, process, and analyze large datasets. * Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. * Perform data … exploration and analysis to uncover insights and inform decision-making. * Create and deploy predictive models and algorithms to solve complex business problems. * Optimize and tune machine learning models for performance and scalability. * Develop and maintain documentation for data science processes, models, and code. * Stay up-to-date with the more »

organization. Onboarding data to our data warehouse by building automated data pipelines utilizing eg Python in Lambda or Sagemaker to invoke API calls. Using statistical techniques and tools for strategic deep dives; generating actionable insights and effectively communicating recommendations to senior leadership. Inventing new ways to analyze data to … delivery service partners. Partnering with other data engineers and analysts to build and automate central tools that will improve the quality of reporting and analysis in the organization. Partner with our global teams, align on reporting needs, setup, maintain and own data pipelines. We are open to hiring candidates … with theory and practice of information retrieval, data science, machine learning and data mining Experience with theory and practice of design of experiments and statistical analysis of results PREFERRED QUALIFICATIONS Experience managing, analyzing and communicating results to senior leadership AWS Cloud Practitioner/AWS Solutions Architect/AWS more »

the formulation and execution of a comprehensive data strategy, encompassing service performance metrics, sales KPIs aligned with business objectives. Oversee the collection, interpretation, and analysis of service performance metrics, such as response times, resolution rates, and customer satisfaction scores, to optimise service delivery and enhance customer experience. Develop and … and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques, such as predictive modelling, machine learning, and statistical analysis, to derive actionable insights from service performance metrics and sales KPIs. Design and develop intuitive and interactive dashboards, reports, and data visualisations … of experience in a leadership role within a data-driven organisation, with expertise in service performance analytics and sales KPI monitoring. proficiency in data analysis tools and techniques, including SQL, Python, R, and statistical analysis software. experience in developing and implementing data strategies that drive business outcomes more »