51 to 75 of 124 Remote/Hybrid Statistical Analysis Jobs

honest perspectives through active listening and engaged participation. Technical Leadership & Project Delivery Leading technical project delivery by designing solutions, writing code, and conducting analysis using Agile principles. Using data and operational management techniques to improve operational performance. Providing technical oversight to data scientists, identifying opportunities to use data … demonstrate proven experience in any combination of the following skills, with a priority on the technical areas listed below: Technical CapabilitiesStrong data manipulation and analysis skills. Programming using Python and SQL (additional languages are a benefit). Dashboarding using Tableau and/or Power BI and data visualisation using ...

SummaryThe RWE Analyst is a key member of cross-functional teams and RWE-CoE within GBDS. This role will perform the curation, transformation, and analysis of complex healthcare datasets to inform evidence generation, support developing clinical program design, clinical trial execution, and other data-driven decision-making activities. … perform data summary analytics to support real-world evidence (RWE) generation.* Participate in the design of RWE studies, including the development of methodologies, data analysis, interpretation, and reporting of study results.* Author or review study documents such as protocols, statistical analysis plans, study reports, publications, and study ...

cohesively within diverse teams to drive optimised, cohesive transformations and advanced planning solutions.Essential: Experience in end-to-end supply chain analytics, data modelling, and statistical analysis, with proficiency in analytical tools (e.g., Python, R, SQL) and data visualisation platforms.Experience of working with clients and internal stakeholders, where ...

cohesively within diverse teams to drive optimised, cohesive transformations and advanced planning solutions.Essential: Experience in end-to-end supply chain analytics, data modelling, and statistical analysis, with proficiency in analytical tools (e.g., Python, R, SQL) and data visualisation platforms.Experience of working with clients and internal stakeholders, where ...

cohesively within diverse teams to drive optimised, cohesive transformations and advanced planning solutions.Essential: Experience in end-to-end supply chain analytics, data modelling, and statistical analysis, with proficiency in analytical tools (e.g., Python, R, SQL) and data visualisation platforms.Experience of working with clients and internal stakeholders, where ...

business. You'll be responsible for: Analysing large and complex datasets to generate actionable customer insights Building data marts and analytical models Using statistical and machine learning techniques, including regression and clustering Presenting findings clearly to senior stakeholders and influencing data-driven decisions Working collaboratively across teams to identify … opportunities for optimisation About you: 3+ years' experience in statistical analysis and data visualisation Strong SQL and experience with Python and/or R Knowledge of advanced analytics and machine learning techniques Excellent communication and stakeholder management skills A curious, analytical mindset with strong attention to detail Location ...

will spearhead the development of advanced probabilistic models that power real-time betting markets. Full-time Closes 09/09/2026 The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models … such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track ...

will spearhead the development of advanced probabilistic models that power real-time betting markets. Full-time Closes 10/06/2026 The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models … such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track ...

governance and data quality standards Develop KPI frameworks and reporting standards to ensure consistent measurement across the business Deliver customer segmentation, profiling and performance analysis to support growth and retention strategies Partner with commercial, marketing and leadership teams to translate insight into action Promote best practice in analytics, data … model development Strong SQL skills and experience working across multiple data sources Experience designing KPI frameworks and performance measurement methodologies A strong understanding of statistical analysis and its application to commercial challenges The ability to communicate complex findings clearly to both technical and non-technical stakeholders A commercially ...

strategic approach specific to the study design and opportunity specifics;Perform comprehensive review of data sources to deliver high quality informatics data and analysis to teams;Work alongside global feasibility leads to contribute to proposal strategy for site and country selection based on available data;Translate the results … feasibility research and analysis into compelling data visualisations which illustrate the overall feasibility strategy including enrolment modelling;Design and implement database architecture plans and perform custom queries for methodological and clinical data sources;Perform development and review of proposal text;Assist project teams with preparation for bid defence meetings ...

Demand Planner will own the end-to-end demand planning process for assigned markets, categories and customers across the HPC Division, developing accurate unconstrained statistical and collaborative forecasts using multiple data sources, business intelligence and commercial insight. The role will lead demand reviews with Sales, Marketing and Commercial teams … efficiency. Using SAP, SAP S/4HANA, SAP IBP, Excel and Power BI, you’ll provide clear insight through forecasting, reporting and KPI analysis, while supporting wider planning projects and continuous improvement initiatives. Key Responsibilities Own end-to-end demand planning for assigned markets, categories and customers. Develop accurate ...

open-source programming languages and tooling.Job DescriptionMajor accountabilities:Develop and maintain R packages that enable clinical trial team through supporting data engineering, statistical analyses, automation, and reporting workflows.Design, build and deploy Shiny applications for interactive dashboards and data exploration tools.Collaborate with statistical programmers and statisticians, and clinical reporting … Inactive), Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai (Inactive), Pandas (Python) (Inactive), Python (Programming Language), R Programming, Stakeholder Engagement, Statistical Analysis, Structured Query Language (SQL), Time Series AnalysisSummaryLocation: London (The Westworks); Home WorkerType: Full time ...

that behind every dataset, every line of code, and every submission package, there's a patient waiting for a better option. As our Senior Statistical Programmer, you are one of the people who makes that happen. This isn't a role where your work disappears into a black box. … matters most: delivering high-quality, high-impact programming work. Day to day, that looks like: Writing and validating SAS programs to generate derived analysis datasets and clinical Tables, Figures, and Listings (TFLs) – work that feeds directly into regulatory decision‐making Contributing to electronic submission preparation (think ...

other teams across the business. Our Data Scientists are embedded within product and business areas across Monzo, where they use experimentation, causal inference, statistical modelling, machine learning and analytics to understand our customers, identify opportunities and influence the direction of our products and strategy. As a Data Science Manager … help teams turn them into clear, actionable opportunities. Ensure teams are using the right analytical approaches, from experimentation and causal inference through to statistical modelling and machine learning. Help connect Data Science work to measurable customer, product and commercial outcomes. Work with Analytics Engineering, Machine Learning and other Data ...

improving reporting standards. Structure and transform data in alignment with project controls frameworks, including WBS, CBS, and OBS structures. Support forecasting activities through data analysis and trend identification. Work with Power BI developers and digital teams to develop and improve reporting dashboards and business intelligence solutions. Support the implementation … scale capital programmes. Experience developing reporting frameworks and performance reporting solutions. Experience using Power BI and other data visualisation tools. Knowledge of data analytics, statistical analysis, and business intelligence methodologies. Experience working within highly regulated environments. At CMR we have a strong culture driven by our 9 Core ...

data quality, and improve reporting, automation and CRM capability across the organisation. Working closely with Partners and senior leaders, you’ll translate complex analysis into commercially relevant insight and influence wider technology decisions. The role also includes building and developing a high-performing data team. Longer term, there … optimisation or client-facing data services Nice-to-Have CRM development, optimisation or governance experience Experience developing client-facing data or analytics services Strong statistical analysis and insight generation capabilities Tagged as: Azure, Excel, Power BI, Python, SQL #J-18808-Ljbffr ...

with:Data warehousing, database design, and schema developmentAzure ML, Synapse, AWS, SQL, and Unix-based environmentsData governance, master data management, and testing frameworksMachine learning, statistical analysis, and data visualisation techniquesLeading and managing external delivery teams and third-party suppliersAgile and Scrum delivery methodologiesDelivering strategic technology and data transformation ...

modelling, experimentation, and deployment. · Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets · Translate business problems into analytical frameworks and actionable solutions to improve decision making · Stakeholder engagement. Manage project prioritization ...

modelling, experimentation, and deployment. · Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets · Translate business problems into analytical frameworks and actionable solutions to improve decision making · Stakeholder engagement. Manage project prioritization ...

modelling, experimentation, and deployment.· Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets· Translate business problems into analytical frameworks and actionable solutions to improve decision making· Stakeholder engagement. Manage project prioritization ...

that behind every dataset, every line of code, and every submission package, there's a patient waiting for a better option. As our Senior Statistical Programmer, you are one of the people who makes that happen. This isn't a role where your work disappears into a black box. … matters most: delivering high-quality, high-impact programming work. Day to day, that looks like: Writing and validating SAS programs to generate derived analysis datasets and clinical Tables, Figures, and Listings (TFLs) \- work that feeds directly into regulatory decision-making Contributing to electronic submission preparation (think ...

modelling, experimentation and deployment. Data Science & Advanced Analytics – Design and implement predictive and prescriptive models for airline operations, applying machine learning, optimisation and statistical analysis to large, complex data sets. Translation of Business Problems – Convert business challenges into analytical frameworks and actionable solutions to improve decision‐making. Stakeholder ...

modelling, experimentation and deployment. Data Science & Advanced Analytics – Design and implement predictive and prescriptive models for airline operations, applying machine learning, optimisation and statistical analysis to large, complex data sets. Translation of Business Problems – Convert business challenges into analytical frameworks and actionable solutions to improve decision‐making. Stakeholder ...

patients and stakeholders.What You’ll DoLead the design, execution, and delivery of complex global RWE studies on time and within budget.Develop study concepts, protocols, statistical analysis plans, and study documentation to support evidence generation objectives.Drive epidemiology, natural history, disease burden, comparative effectiveness, safety, and post‐launch evidence generation ...

looking for an experienced Statistical Analysis System (SAS) Developer to join our Decisioning Systems Assurance team. This is a highly technical role focused on using SAS, data analysis and system investigation techniques to independently validate lending strategies, decision systems and customer outcomes across a range of lending ...