101 to 125 of 185 Statistical Analysis Jobs in England

We are looking for a full-time Senior Data and Insights Analyst to join our Research and Intelligence team to lead on using data across the HFEA including in statistical reports and our award-winning dashboards, as well managing preparation of large and sensitive datasets for specific research purposes. The HFEA holds the longest running national dataset of fertility … datasets Knowledge of current best practice relating to information governance Experience Essential Extensive experience of working in a production environment encompassing change control and release management Extensive experience of statistical analysis in a healthcare or public-facing setting, preferably using administrative datasets Extensive experience in developing stored procedures and functions in SQL or similar Experience of Power BI More ❯

management skills, research skills and bolster your financial knowledge. The Role As an entry level Data Analyst, you'll play a key role in providing the numbers, algorithms, and analysis that make Bloomberg data the most sought-after data source in the world. You will enhance and report financial markets content for the Bloomberg Professional service (the Bloomberg terminal … that inspires news and analysis that empowers our clients to make better-informed decisions. Data Analysts also provide unparalleled customer service and solve complex issues, while building relationships with key market players in the financial industry. Your role starts off with the Global Data Training Program and then you will be placed into one of the following teams as … to adapt in a fast paced changing environment Ideally we are also looking for candidates to possess at least one of the following skills: - Knowledge in information technology or statistical analysis or computer programming (for example VBA, SQL, MATLAB, Python) - Effective project management skills and ability to prioritize tasks accordingly - Experience in Customer Service or Client Relationship Management More ❯

management skills, research skills and bolster your financial knowledge. The Role As an entry level Data Analyst, you'll play a key role in providing the numbers, algorithms, and analysis that make Bloomberg data the most sought-after data source in the world. You will enhance and report financial markets content for the Bloomberg Professional service (the Bloomberg terminal … that inspires news and analysis that empowers our clients to make better-informed decisions. Data Analysts also provide unparalleled customer service and solve complex issues, while building relationships with key market players in the financial industry. Your role starts off with the Global Data Training Program and then you will be placed into one of the following teams as … to adapt in a fast paced changing environment Ideally we are also looking for candidates to possess at least one of the following skills: - Knowledge in information technology or statistical analysis or computer programming (for example VBA, SQL, MATLAB, Python) - Effective project management skills and ability to prioritize tasks accordingly - Experience in Customer Service or Client Relationship Management More ❯

work in virtual, multi-national, multi-cultural, cross-company and cross-functional teams Familiar with financial market products and solid knowledge of the insurance/reinsurance industries Knowledge in statistical analysis and experience in processing large scale data sets Additional skills which are a plus: Working experience in various Cloud environments (e.g. AWS or Azure) Familiar with weather … and energy commodity markets, power and gas trading and data analysis Our company has a hybrid work model where the expectation is that you will be in the office three days per week. The base salary range for this position is between GBP 86,000 and GBP 128,000 (for a full-time role). The specific salary offered More ❯

AI. Craft Compelling Narratives: Develop engaging presentations and board papers that articulate complex insights in a clear and compelling manner, guiding senior client leadership in decision-making. Conduct Data Analysis: Analyse data sets to derive meaningful insights that support strategic decision-making for clients, utilising data visualisation tools and techniques to present findings effectively. Lead Impactful Discussions: Facilitate workshops … Collaboration and Data & AI Tools: Demonstrate knowledge of storytelling tools, collaboration tools to support workshops as well and foundational data and AI tools, such as data visualization and basic statistical analysis tools, to support client engagements and project deliverables. Stakeholder Management Skills: Proven ability to engage effectively with senior management and stakeholders, fostering strong relationships and facilitating productive … ensuring alignment with organizational objectives and fostering a Data & AI-driven culture. Business Cases: Crafting business cases that articulate the ROI of Data and AI initiatives, supported by market analysis and stakeholder insights. Data & AI Product Design: Creating user-centric data products and AI solutions that facilitate informed decision-making, including dashboards and analytical tools. What's in it More ❯

growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. Please Note: Unfortunately, this role does More ❯

growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. Please Note: Unfortunately, this role does More ❯

growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. Please Note: Unfortunately, this role does More ❯

Business Intelligence Design, develop, and maintain dashboards and self-service reports to empower procurement teams with actionable insights. Manage data from multiple systems, ensuring integrity, consistency, and accessibility. Provide statistical analysis, modelling, and KPI reporting (weekly, monthly, and quarterly) to support decision-making. Drive the development of a data warehouse and ensure it remains accurate and up to More ❯

existing data and build effective measurement frameworks to improve experience of our shoppers. Candidate should be able to use a combination of data mining techniques as well as use statistical and machine learning techniques for segmentation and prediction. He/She should be passionate about working with disparate datasets and be someone who loves to bring data together to … position represents an exciting opportunity to be a part of a dynamic and high paced environment. Key job responsibilities Conduct end to end deep dives using exploratory data and statistical analysis to create actionable insights Understanding of stats and ML Interface with cross functional stakeholders to gather data and metrics requirements. Developing interactive and flexible visualization dashboards, reporting … across products, to drive adoption and increase visibility into key measures of business performance. Data modeling, Data extraction through ETL and SQL BASIC QUALIFICATIONS - 3+ years of business analysis (dealing with large complex data) experience PREFERRED QUALIFICATIONS - Knowledge of SQL and Excel at a moderate or advanced level Our inclusive culture empowers Amazonians to deliver the best results for More ❯

analysis. - Excellent written and oral communication skills including an ability to communicate with cross functional teams (technical and business) and senior stakeholders. - Strong proficiency in SQL, Microsoft Excel and statistical analysis tools. PREFERRED QUALIFICATIONS - MBA or advanced degree. - Strong organizational and multitasking skills with ability to balance competing priorities. - Core Program and Project Management skills (regular updates, Program … flashes, data audits, review meetings, process audits). - Demonstrated experience in leading analysis, customer segmentation, and/or product behavior analysis. - Pricing Experience - An inherent learn and be curious nature, willing to jump into unexplored topics. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions More ❯

COMPANY We are working with a renowned business in the arts industry on a pivotal Analytics Manager hire. THE ROLE The successful Analytics Manager responsibilities will include: Lead the analysis of marketing campaigns (digital, offline, CRM) to measure ROI, effectiveness, and identify opportunities for optimisation. Build and maintain dashboards and reports that track key marketing KPIs (CAC, LTV, churn … conversion rates, attribution). Design and execute A/B tests and incrementality studies to assess marketing initiatives' impact. Develop statistical models and predictive analytics (e.g., customer segmentation, propensity modelling) to guide marketing strategy. Collaborate with Marketing and Finance teams to forecast marketing performance and support budget allocation decisions. Present actionable insights and recommendations to senior stakeholders, influencing marketing … experience: Proven experience in Marketing Analytics, or a similar analytical role. Strong proficiency in SQL for data extraction and manipulation. Solid experience with Python or R for advanced analytics, statistical analysis, and modelling. Hands-on experience with marketing performance tracking, ROI analysis, and attribution methodologies. Experience managing - This role will include 3 direct reports. Experience working in More ❯

COMPANY We are working with a renowned business in the arts industry on a pivotal Analytics Manager hire. THE ROLE The successful Analytics Manager responsibilities will include: Lead the analysis of marketing campaigns (digital, offline, CRM) to measure ROI, effectiveness, and identify opportunities for optimisation. Build and maintain dashboards and reports that track key marketing KPIs (CAC, LTV, churn … conversion rates, attribution). Design and execute A/B tests and incrementality studies to assess marketing initiatives' impact. Develop statistical models and predictive analytics (e.g., customer segmentation, propensity modelling) to guide marketing strategy. Collaborate with Marketing and Finance teams to forecast marketing performance and support budget allocation decisions. Present actionable insights and recommendations to senior stakeholders, influencing marketing … experience: Proven experience in Marketing Analytics, or a similar analytical role. Strong proficiency in SQL for data extraction and manipulation. Solid experience with Python or R for advanced analytics, statistical analysis, and modelling. Hands-on experience with marketing performance tracking, ROI analysis, and attribution methodologies. Experience managing - This role will include 3 direct reports. Experience working in More ❯

gains from proposed improvements Analyse our routes to identify inefficiencies in routing models and algorithms, helping our team to operate with precision and maximise impact. Build models and produce analysis to optimise the daily operation Collaborate with engineers and scientists to deploy your algorithms and models into production Translate operational and commercial constraints into model or algorithm improvements Bring … thoughtfully What we're looking for Academic or Industrial experience in Operational Research, specifically combinatorial optimisation and/or graph theory Academic or Industrial experience with experimentation, simulation and statistical analysis MSc or PhD in a relevant discipline Experience working in an office environment, or as part of a team Python & SQL Analytical and problem-solving skills, with More ❯

in Data Engineering! Responsibilities: Develop and lead cutting-edge advanced analytics solutions for complex business problems. Mentor junior data engineers, providing guidance and support in their professional development. Perform statistical analysis, data collection, data mining, and text mining. Design, build, and manage solutions for advanced analytics projects. Utilize predictive analytics tools (SPSS) to draw conclusions and present findings. … organization Required technical and professional expertise Extensive experience with data engineering principles and advanced analytics techniques. Proficiency in programming languages (Python, R, SQL). Experience with data manipulation and analysis tools (Pandas, NumPy, Dask). Strong leadership and communication skills. Ability to lead cross-functional teams and manage stakeholder expectations As an equal opportunities' employer, we welcome applications from More ❯

in the global ecosystem, and partnering with the product team to launch features at registration to help sellers be successful. The ideal analyst should have proven experience in business analysis and product development; should be able to work across teams and should be able to lead leadership reviews. Our ideal candidate is a self-starter, comfortable working through ambiguity … analyses to uncover areas of opportunity and present recommendations that will shape the future of the registration and identity verification Proactively identify problems and opportunities and perform root cause analysis/diagnosis leading to significant business impact. Develop performance dashboards that encompass key metrics to be reviewed with senior leadership. Manage numerous requests concurrently and strategically, prioritizing when necessary. … field experience - 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience - 3+ years of business or financial analysis experience - Experience defining requirements and using data and metrics to draw business insights - Experience making business recommendations and influencing stakeholders - Experience with Excel PREFERRED QUALIFICATIONS - Statistical Analysis More ❯

Join a sponsor-dedicated team and contribute to the advancement of in-house study activities over time. As the R Programming Lead , you will provide technical expertise to the Statistical Programming team, ensuring the delivery of high-quality solutions that meet both internal and external requirements. Responsibilities • Develop internal and external R packages for clinical trial analysis ( ADaM … tables, figures, listings). • Validate R packages. • Lead implementation in R and train other Biostatistics team members. • Conduct statistical programming work of clinical data using R. • Identifies problems and develops global tools that increase the efficiency and capacity of the Statistical Programming group. • Create and/or validate all safety and efficacy study output requirements (e.g. ADaM, TLFs … including developing and validating R packages from CRO or Pharmaceutical Industry. Strong programming skills in R/R Shiny Proven experience in applying R and R-Shiny for the analysis and reporting of clinical trials. Ability to reproduce statistical analysis using R. Strong skills in data visualization and data wrangling using R. Proficiency in using R packages More ❯

will see you join the UK marketing and growth function while also being part of a global data and analytics team. You’ll be responsible for delivering high-quality analysis that drives commercial decision-making—working on everything from campaign evaluation and customer behaviour analysis to dashboard development and KPI tracking. Around 60% of your work will be … The remaining 40% will involve contributing to global data products and best practices, working alongside international colleagues to create scalable, high-impact analytics solutions. Key Responsibilities Conduct deep-dive analysis into marketing performance, customer acquisition, retention, and lifetime value. Evaluate campaign and promotional impact, assessing both short- and long-term revenue and retention effects. Extract, manipulate, and join data … commerce environments. Advanced SQL skills and experience with data visualisation tools. Experience of using dbt is a nice to have. Strong grasp of marketing metrics and ability to apply statistical analysis appropriately. Skilled in turning complex data into clear, commercially relevant insights for non-technical audiences. Proactive, self-sufficient, and comfortable managing end-to-end analysis projects. More ❯

will see you join the UK marketing and growth function while also being part of a global data and analytics team. You’ll be responsible for delivering high-quality analysis that drives commercial decision-making—working on everything from campaign evaluation and customer behaviour analysis to dashboard development and KPI tracking. Around 60% of your work will be … The remaining 40% will involve contributing to global data products and best practices, working alongside international colleagues to create scalable, high-impact analytics solutions. Key Responsibilities Conduct deep-dive analysis into marketing performance, customer acquisition, retention, and lifetime value. Evaluate campaign and promotional impact, assessing both short- and long-term revenue and retention effects. Extract, manipulate, and join data … commerce environments. Advanced SQL skills and experience with data visualisation tools. Experience of using dbt is a nice to have. Strong grasp of marketing metrics and ability to apply statistical analysis appropriately. Skilled in turning complex data into clear, commercially relevant insights for non-technical audiences. Proactive, self-sufficient, and comfortable managing end-to-end analysis projects. More ❯

will see you join the UK marketing and growth function while also being part of a global data and analytics team. You’ll be responsible for delivering high-quality analysis that drives commercial decision-making—working on everything from campaign evaluation and customer behaviour analysis to dashboard development and KPI tracking. Around 60% of your work will be … The remaining 40% will involve contributing to global data products and best practices, working alongside international colleagues to create scalable, high-impact analytics solutions. Key Responsibilities Conduct deep-dive analysis into marketing performance, customer acquisition, retention, and lifetime value. Evaluate campaign and promotional impact, assessing both short- and long-term revenue and retention effects. Extract, manipulate, and join data … commerce environments. Advanced SQL skills and experience with data visualisation tools. Experience of using dbt is a nice to have. Strong grasp of marketing metrics and ability to apply statistical analysis appropriately. Skilled in turning complex data into clear, commercially relevant insights for non-technical audiences. Proactive, self-sufficient, and comfortable managing end-to-end analysis projects. More ❯

will see you join the UK marketing and growth function while also being part of a global data and analytics team. You’ll be responsible for delivering high-quality analysis that drives commercial decision-making—working on everything from campaign evaluation and customer behaviour analysis to dashboard development and KPI tracking. Around 60% of your work will be … The remaining 40% will involve contributing to global data products and best practices, working alongside international colleagues to create scalable, high-impact analytics solutions. Key Responsibilities Conduct deep-dive analysis into marketing performance, customer acquisition, retention, and lifetime value. Evaluate campaign and promotional impact, assessing both short- and long-term revenue and retention effects. Extract, manipulate, and join data … commerce environments. Advanced SQL skills and experience with data visualisation tools. Experience of using dbt is a nice to have. Strong grasp of marketing metrics and ability to apply statistical analysis appropriately. Skilled in turning complex data into clear, commercially relevant insights for non-technical audiences. Proactive, self-sufficient, and comfortable managing end-to-end analysis projects. More ❯

strong relationships over time. Projects will be varied but could be anything from Data Modelling to address a specific business problem, Data Science & Machine Learning associated with electronic trading, statistical analysis of different financial data sets, data transformation advisory and consulting. What we are looking for : Degree level academics in Quant topic: Maths, Stats, Science etc Track record … of working on Data Science & Analysis projects ideally within Capital Markets, but open to individuals who have other aligned commercial experience You'll have a good knowledge of Python & associated libraries You'll have a good understanding of DataBase's & Data Base Managment SQL, Excel & a Data Visualisation tool preferred Initially the role will probably be around 50/ More ❯

Since 1990, METRONOMIA has stood for quality, competence, continuity and unconditional customer orientation in terms of data management, statistical services and medical writing in clinical research. As a growth-oriented medium-sized company with over 145 employees, we operate internationally. Our customers appreciate the competence and commitment of our employees and we value our employees as the basis of … the company's success. Join a motivated and friendly team as Statistical Programmer (UK Remote) Your responsibilities You program and validate statistical analysis of clinical studies with SAS. You define and program analysis datasets and CDISC SDTM and ADaM datasets in SAS. You are responsible for the quality control of evaluations of clinical studies. You conduct More ❯

Ops style automation •Experience with ix (e.g, Linux, BSD, etc.) tooling and scripting •Participated in projects that are based on data science methodologies, and/or physical experiments, or statistical analysis - especially in a data engineer and dev ops capacity. Skills & Knowledge : Knowledge of major data science and dev ops frameworks and methods Very strong analytical skills and … role Active Learning, Active Learning, Adaptability, Agile Methodology, Amazon Web Services (AWS), Automation Cloud, Cloud Infrastructure, Continuous Integration and Continuous Delivery Methodologies, Cost Optimization, Cross-Functional Work, Curiosity, Data Analysis, Digital Literacy, Disaster recovery and high availability, Docker (Software), Emotional Intelligence, Empathy, GitHub, Infrastructure As Code (IaC), Initiative, Kubernetes, Lambda, Linux, NoSQL, Problem Solving + 8 more We are More ❯

business problems. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Build and maintain production-grade Python applications for machine learning and AI. Apply statistical analysis and machine learning techniques to derive insights from large datasets. Develop natural language processing (NLP) models to enhance user experience and automate processes. Utilize Azure DevOps for More ❯