26 to 50 of 243 Statistical Analysis Jobs in England

click) is generated from a human user or bot (invalid) and the TQ Analytics team focuses on building key metrics and reporting, root cause analysis and critical stakeholder communications on changing trends and patterns for this area. The TQ Analytics team also focuses on building heuristic based models and … projects and always on the lookout to optimize the information flow process. You will collaborate with Scientists and Engineers to analyze trends and analyze statistical models that detect and filter IVT. Key Job Responsibilities Design, implement and support a scalable and reliable information model for storing, processing, analyzing and … every iteration to enable self-service by others on the team and to continuously expand on your ability to dive deep. Perform exploratory data analysis and apply statistical techniques to help Scientists build models that detect and filter IVT. Define and implement metrics that continuously evaluate models. Understand More ❯

Job Title: Junior RWE Statistician/Statistical Programmer Location: Spain (Remote) Job Type: Full-time About the Role We are looking for a Junior RWE Statistician/Statistical Programmer to join a dynamic and growing team. This is an exciting opportunity for an early-career professional with a … decision-making. Key Responsibilities: Assist in the design, execution, and interpretation of real-world evidence studies, including observational research and health outcomes analyses. Perform statistical programming and data analysis using SAS. Support the development of statistical methodologies and study protocols. Conduct data cleaning, transformation, and quality control … degree or PhD in Biostatistics, Statistics, Epidemiology, or a related field. Minimum of 2 years industry experience Experience or coursework in real-world data analysis (e.g., claims data, electronic health records, registries). Proficiency in SAS for statistical analysis and data manipulation. Knowledge of biostatistics, epidemiological methods More ❯

analyses. Build various data visualizations to tell the story and let the data speak for itself. Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Build automation to reduce dependencies on manual data pulls. A day in the life A … the life of a Business Intelligence Engineer will include working closely with Product Managers and Software Developers. Working on building dashboards, performing root cause analysis, and sharing actionable insights with the stakeholders to enable data-informed decision making. BASIC QUALIFICATIONS 2+ years of analyzing and interpreting data with Redshift … Oracle, NoSQL, etc. experience. Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared). Experience with data visualization using Tableau, Quicksight, or similar tools. Experience with scripting language (e.g., Python, Java, or R). PREFERRED More ❯

models to solve critical seller challenges Lead data-driven and scientific analyses that directly inform strategic organizational decisions Build and validate hypotheses through rigorous statistical analysis Design and execute experiments and leverage causal inference methods to measure true business impact in seller growth dynamics and behavior patterns Partner … finance, engineering, or computer science 2+ years of data scientist experience 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of machine learning/statistical modeling data analysis tools and techniques More ❯

effectively with cross-functional teams in a fast-paced environment are critical skills for this role. Responsibilities: Create actionable business insights through analytical and statistical rigor to answer business questions, drive business decisions, and develop recommendations to improve operations Collaborate with Product Managers, software engineering, data science, and data … data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g., t-test, Chi-squared) Experience with scripting languages (e.g., Python, Java, or R) Master's degree or advanced technical degree Knowledge of … data modeling and data pipeline design Experience with statistical analysis and correlation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for More ❯

the company's DNA. Amazon Seller Services is looking for a Data Scientist to work hands on from concept to delivery on generative AI, statistical analysis, prescriptive and predictive analysis, and machine learning implementation projects. We are looking for a problem solver with strong analytical skills and … and setting up disparate data from enterprise systems. Key Job Responsibilities Ability to understand a business problem and the available data and identify what statistical or ML techniques can be applied to answer a business question. Given a business problem, estimate solution feasibility and potential approaches based on available … teams where needed to facilitate permissions and acquisition of required data. Quickly prototype solutions and build models to test feasibility of solution approach. Build statistical models/ML models, train and test them to drive towards the optimal level of model performance. Improve existing processes with development and implementation More ❯

data solutions, generate automatic insights and leverage anomaly detection tools/technologies which will help to deliver the best prices to our customers. Data analysis is at the core of Amazon's culture, and your work will have a direct impact on decision making and strategy for our team. … and self-service ability by stakeholders. - Improving back-end data sources for increased accuracy and simplicity. - Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. - Supporting business with time-critical tactical data analyses. - Understanding a broad range of Amazon's … SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience with statistical analytics and programming languages such as R, Python, Ruby, etc. - Experience in More ❯

upon Technology & provide a conduit for business information to flow into the Technology team. Support the definition, documentation, and continuous improvement of Halfords Business Analysis methodology. Apply a standard methodology to undertaking structured Business Analysis engagements, agree objectives with stakeholders and plan engagements accordingly. Have the ability and … experience to employ various tools and techniques to complete engagements; including, but not exclusively, focus interviews, surveys, statistical analysis, work study, process analysis and re-design, Lean/Six Sigma techniques, Agile/Scrum methodologies, system analysis, data flow analysis. Assess risk, impact, and dependencies on … communicate accordingly. Produce, or assist stakeholders in the production of required documentation including, but not exclusive to; use cases/stories, requirements documents, gap analysis, process/data flows, project reports and lessons learned reviews. Manage changes to requirements through effective use of change control processes. Work with internal More ❯

team collaborating with product and engineering teams to further develop an understanding of needs. Your primary role will be to research and devise innovative statistical models for data analysis enabling smarter business processes by using analytics for meaningful insights. While mining, interpreting, and cleaning our data, this person … Essential; c. 5-7 years experience within Data Science ideally with experience as an Data Scientist or similar Proficiency with data mining, mathematics, and statistical analysis Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS More ❯

ideal as you need to understand how they operate and what kind of models need to be produced Proficiency in data mining, mathematics, and statistical analysis Able to articulate key messages and analysis outcomes clearly and concisely with a Pragmatic and analytical mind A strong academic record … with a good honours degree or equivalent qualification in a numerical subject Extensive experience of completing complex data analysis and create proposals/provide recommendations on the back of analysis Any experience with Credit risk, risk assessment, Python, Machine Learning, SPSS, SAS, statistical or MI packages would … and ongoing maintenance of all financial modelling and forecasting to enhance decision making, deliver more targeted acquisition and ultimately deliver profitable growth. Undertake specialised analysis to model historical data and provide forecasts based on various industry-related metrics for a range of different propositions. Conduct scenario analysis based More ❯

across equity markets, products, structuring, and data analytics to help facilitate equity-based transactions and identify market opportunities. The team performs quantitative and other analysis, working with tools, models and financial markets data and collaborates with Sales, Trading, Technology and other areas of the firm, and with clients. YOUR … will apply a variety of technical and professional skills to analyze equity markets and client portfolios and turn research into commercial impact. Combining fundamental analysis, data analysis, macro research and factor models, you will provide insight to assess portfolio inefficiencies and market opportunities. You should have an interest … in Equity Macro, using rigorous statistical analysis on financial market data, and communicate results in a clear and actionable way. Clients, as well as Sales and Trading, will use your analysis to inform their views of the market and what is driving it. BASIC QUALIFICATIONS Strong academic More ❯

analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Apply data mining and quantitative analysis to understand ways to improve our content selection for customers Perform both ad-hoc and strategic data analyses Build various data visualizations to tell … the story and let the data speak for itself Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Build automation to reduce dependencies on manual data pulls etc. BASIC QUALIFICATIONS 3+ years of analyzing and interpreting data with Redshift, Oracle … NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience More ❯

data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R) PREFERRED QUALIFICATIONS - Master's degree, or Advanced technical degree … Knowledge of data modeling and data pipeline design - Experience with statistical analysis, co-relation analysis Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected More ❯

architecture, ensuring scalability and alignment with strategic objectives. The role will lead the collaboration with Business Intelligence and IT teams to enhance real-time analysis, accurate forecasting, and the management of resources. The postholder will lead the development of and refinement of machine learning capabilities and apply these to … administrative processes, ensuring these models improve efficiency, optimise outcomes, and support transparent, evidence-based decisions. The postholder will lead the development and application of statistical analysis, applying this to locally generated datasets/sources to enhance decision making and support clinical and business objectives, including outcome measurement, trend … analysis, and policy development. The post holder will provide expertise and support to drive planning efforts, contributing and guiding the development of frameworks that align operational plans with organisational goals, ensuring effective short- and long-term strategic planning. About us The Humber Health Partnership is one of the largest More ❯

Due to increased customer demand from our key clients, Jumar is expanding their Business Analysis capability, and we are looking to hire an accomplished, MI/Data Business Analyst on a 6 month FTC (Fixed Term Contract) to join our thriving, Midlands based BA team in May 2025. This … we are looking for someone who has come from a development background with strong SQL. Ideal Experience: Strong Business Analyst with experience in data analysis/business intelligence Experience working on MI workstreams/projects Strong SQL Proficient in data visualization tools (e.g., Tableau, Power BI) and statistical analysis software (e.g., SQL, R, Python) Strong analytical and problem-solving skills with a keen attention to detail Excellent communication and interpersonal skills, with the ability to present complex information clearly to non-technical audiences Experience with data modelling and database design is a plus Ability to work More ❯

into compelling storytelling and actionable recommendations. Expertise in interrogating data using SQL and writing custom SQL queries, and understanding of database structures. Understanding of statistical analysis techniques used for experimental design such as regression analysis, hypothesis testing, multivariate analysis, and time series analysis. Excellent verbal and More ❯

into compelling storytelling and actionable recommendations. Expertise in interrogating data using SQL and writing custom SQL queries, and understanding of database structures. Understanding of statistical analysis techniques used for experimental design such as regression analysis, hypothesis testing, multivariate analysis, and time series analysis. Excellent verbal and More ❯

into compelling storytelling and actionable recommendations. Expertise in interrogating data using SQL and writing custom SQL queries, and understanding of database structures. Understanding of statistical analysis techniques used for experimental design such as regression analysis, hypothesis testing, multivariate analysis, and time series analysis. Excellent verbal and More ❯

Data Analyst to join their growing team. This is an exciting opportunity to play a key role in driving business decisions through insightful data analysis within a dynamic and fast-paced environment. Our client is a successful online retailer with ambitious growth plans. They pride themselves on their customer … and translate them into data-driven solutions. Key Responsibilities: Gathering and cleaning data from various sources, ensuring data integrity and accuracy. Performing exploratory data analysis to identify trends, patterns, and anomalies. Developing and maintaining regular and ad-hoc reports and dashboards using data visualisation tools (e.g., Tableau, Power BI … . Conducting in-depth analysis on customer behaviour, website performance, marketing campaigns, and sales data. Providing actionable insights and recommendations to stakeholders to improve business outcomes. Collaborating with different teams to understand their data requirements and provide relevant analysis. Contributing to the development and improvement of data collection and More ❯

Data Analyst to join their growing team. This is an exciting opportunity to play a key role in driving business decisions through insightful data analysis within a dynamic and fast-paced environment. Our client is a successful online retailer with ambitious growth plans. They pride themselves on their customer … and translate them into data-driven solutions. Key Responsibilities: Gathering and cleaning data from various sources, ensuring data integrity and accuracy. Performing exploratory data analysis to identify trends, patterns, and anomalies. Developing and maintaining regular and ad-hoc reports and dashboards using data visualisation tools (e.g., Tableau, Power BI … . Conducting in-depth analysis on customer behaviour, website performance, marketing campaigns, and sales data. Providing actionable insights and recommendations to stakeholders to improve business outcomes. Collaborating with different teams to understand their data requirements and provide relevant analysis. Contributing to the development and improvement of data collection and More ❯

supporting transformative change programs. Role Overview The Senior Data Analyst will be a critical member of the leadership team, providing expert-level insights and analysis across supply chain planning, performance tracking, and continuous improvement initiatives. The ideal candidate will combine technical proficiency with business acumen to uncover opportunities, optimise … operations, and enhance data quality and reporting. This is a predominantly office-based role, with occasional travel to operational sites. Key Responsibilities Data Analysis & Insights Collect, analyse, and interpret complex datasets to identify trends, risks, and opportunities. Deliver actionable insights to enhance business processes, performance, and decision-making. Investigate … Power BI. Skilled in Python for data simulation and optimisation modelling. Strong knowledge of data warehousing, analytics platforms, and IT systems integration. Expertise in statistical analysis and data modelling techniques. Excellent communication and storytelling skills with the ability to translate complex data into business language. Proven stakeholder management More ❯

optical specifications and quality standards. Establish testing protocols for various stages of development. Implement process control techniques to ensure production consistency. Collect and perform statistical analysis on metrology data to identify trends, variances, and correlations to performance metrics. Analyze measurement data and correlate results to key performance indicators … for performance enhancement. Propose and implement improvements in metrology techniques and testing procedures. Create and maintain detailed technical documentation, including test plans, procedures, data analysis reports, and process control records. Minimum Qualifications: Bachelor's or Master's degree in Optical Engineering, Physics, Electrical Engineering, or a related Engineering field. … 3+ years of hands-on experience in optical testing, with a focus on waveguides or similar optical components. Proficiency in statistical data analysis using JMP or Minitab. Familiarity with process control, quality control, and acceptance testing in a high-volume manufacturing environment. Excellent troubleshooting skills with the ability More ❯

and innovative environment. Our ideal teammate is curious, detail-oriented, and insists on the highest standards. He/she has deep knowledge of data analysis and can extract and manipulate data from various sources. Key job responsibilities Data ingestion, transformation, comparison, validation, and monitoring of multiple data sources from … Tableau, Power BI, or other BI platforms. Bachelor's degree in computer science, engineering, mathematics, or equivalent, with 2+ years relevant experience in business analysis, data analysis, or statistical analysis. Strong data collection and analysis skills, proficient in Excel for data modeling. Excellent communication and writing More ❯

to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders … based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker … of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Package Description Our benefits package increases the longer you've been with us. Here's what to expect More ❯

customer behavior, and business performance across multiple regions. You will take ownership of key analytical projects, mentor junior analysts, and drive innovation in data analysis and decision-making. YOU WILL BE RESPONSIBLE FOR: Acting as a trusted analytical partner to senior stakeholders, providing deep insights into market trends, customer … Data Engineering to develop, maintain, and improve advanced dashboards and reports that track key business metrics and deliver timely insights. Driving innovation in data analysis, proactively identifying new methodologies and best practices to enhance business intelligence capabilities. Analyse customer acquisition, retention, and engagement strategies, offering recommendations for optimising market … practices. OUR SUCCESSFUL CANDIDATE WILL HAVE THE FOLLOWING: ESSENTIAL SKILLS E xperience in a Senior Analyst role, with demonstrated expertise in handling complex data analysis and strategic projects. Broad analytics experience operating across more than one functional area. People/project leadership taking ownership of complex analytics projects end More ❯