1 to 25 of 58 Statistical Analysis Jobs

Associate Director, Data & Analytics to strengthen its global analytical capabilities. The Role You will lead and enhance data-driven insights, through data management, statistical analysis and modelling, data visualisation, data interpretation and communication to support regulatory advocacy, market intelligence and industry best practice. Key Responsibilities Develop and expand … data sources, tools, and analytical frameworks Using external sources and other relevant tools, manage, process and analyse data to produce high-quality statistical outputs and visualisations. Contribute to the development of modelling tools, including the application of advanced statistical techniques and machine learning methodologies. Provide data insights, visualisations ...

Data Analysis Supervisor 2 Oakland, CA, Job ID 83801 University of California Agriculture and Natural Resources Job Description Position Summary: Under the supervision of NPI's Director, the Data Analysis Supervisor 2 will function as an advisor to the unit on study design and analytical methods for research … range of nutrition and physical activity policies and programs and will supervise NPI's Data Analyst Section. Responsibilities include designing research methods and analysis plans; collecting, managing, and analyzing quantitative data; disseminating findings to internal and external stakeholders; and managing and overseeing project timelines and deliverables. This position will ...

highly capable machine learning engineer to optimize and enhance our machine learning systems. You will be responsible for evaluating existing processes, performing statistical analysis, and enhancing the accuracy of our ML modelsديات ensuring they remain relevant and up‐to‐date. The ideal candidate will possess a broad understanding … data analysis and data engineering, enabling them to perform rigorous statistical analysis to resolve dataset problems and manage complex data modeling, and translate their expertise into enhanced predictive automation software that transforms decision‐making for global financial institutions. Responsibilities Consult with managers to determine and refine machine ...

shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include:Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement.Designing and implementing advanced data augmentation strategies to enhance model robustness … refine model training and evaluation pipelines, ensuring data quality and integrity.Developing and maintaining dashboards and reports to communicate key performance metrics to stakeholders.Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions.Staying current with the latest research in deep learning and statistical ...

help by their specialist in no time. We increase quality of life, enable personalized treatment, advance research and relieve our health system. Aufgaben Maintenance, analysis and visualization of big data Analysis of trends and deviations of a constantly growing data set Apply data mining techniques to clean … prepare data sets of varying sizes Refactor and document data processing functions Maintain the existing data dashboards and tools Statistical analysis of data from clinical studies (incl. complex modelling) for publications, presentations at conferences and product development Profil Completed education in the field of data science, biostatistics ...

KPIs through experimentation, measurement, and analytics, and to drive impact for Sojern’s marketing platform using state-of-the-art causal inference and advanced statistical methods.TeamThe Data Scientist team within Sojern’s Science and Optimization group plays a crucial role in improving customer KPIs through experimentation, measurement, and analytics … Applied Scientists to shape the product roadmap and drive measurable results for thousands of Sojern clients. The ideal candidate will be skilled in statistical concepts, causal inference, SQL and Python, and capable of working independently.ResponsibilitiesCollaborate across functional teams, including Product Managers, Software Engineers, Analysts, and Scientists to enhance ...

commercial experience through a placement year or post university in a data/analytical driven post will be highly advantageous. Responsibilities: Utilise data analysis and data mining techniques to help the business understand customer behaviour, revenue performance and identify commercial opportunity Specifying, implementing and maintaining databases in support … statistical model development and monitoring. Performing detailed and well documented analysis to support the development of the models. Apply Mathematical Modelling and Statistical analysis to segment customer groups accordingly Contribute to highly analytical scenario modelling to drive gross margin performance Support the business analytically on monthly ...

Orchard) and the ability to apply advanced analytics to operational challenges in housing (desirable). Demonstrated experience in using machine learning, predictive modelling, and statistical analysis to solve real-world problems. Expertise in statistical modelling, predictive analytics, clustering, classification, and regression techniques. Strong background in data mining ...

your analytical expertise to identify trends, risks, and opportunities, ensuring housing services are efficient, tenant-focused, and sustainable. Principal duties and responsibilities: Perform statistical analysis, data mining and retrieval processes on a large amount of data, to identify trends, create management dashboards providing in depth insights with … surveys, focus groups, and data mining. Demonstrated experience in turning raw data into insights that influence business decisions and improve service delivery. Experience with statistical techniques, including trend analysis, segmentation, and regression analysis, to provide meaningful insights. Experience with SQL for querying databases. Solid understanding ...

your analytical expertise to identify trends, risks, and opportunities, ensuring housing services are efficient, tenant-focused, and sustainable. Principal duties and responsibilities: Perform statistical analysis, data mining and retrieval processes on a large amount of data, to identify trends, create management dashboards providing in depth insights with … surveys, focus groups, and data mining. Demonstrated experience in turning raw data into insights that influence business decisions and improve service delivery. Experience with statistical techniques, including trend analysis, segmentation, and regression analysis, to provide meaningful insights. Experience with SQL for querying databases. Solid understanding ...

summary INTERNAL ONLY TO NORTH CUMBRIA INTEGRATED CARE NHS FOUNDATION TRUST (NCIC) EMPLOYEES ONLY The Information Management team specialises in the management and analysis of the Trust's health data fulfilling both the statutory and contractual dataset and submission requirements and providing an analytical service to support … equivalent to Diploma level OR equivalent experience Desirable Project management and/or IM &T infrastructure management methodologies or equivalent experience. Health Informatics or statistical qualification Experience Essential Experience of staff management and team leadership Significant experience of data analysis - extracting, analysing and presenting information Ability to deal ...

effectively, develop predictive models, and deliver clear, actionable insights. The Data Specialist/Data Scientist will also mentor colleagues on best practice in data analysis, help ensure high data quality standards, and contribute to the organisations wider data and AI strategy. Role Responsibilities Collecting, cleaning, validating, and preparing data … stakeholders Personal Profile Qualifications & Experience Essential Degree in Computer Science, Mathematics, Statistics, or a related discipline Strong proficiency in Python or R for data analysis Experience working with SQL and relational databases Proven experience building and deploying machine learning models Desirable Experience using a major cloud platform Exposure ...

Query (M language) Connect to various data sources (SQL databases, APIs, cloud platforms, Excel, etc.) Use Python scripting for: Advanced data transformation and cleaning Statistical analysis and forecasting Automation of data workflows Integration with Power BI datasets Optimize report performance and data refresh strategies Implement row-level security ...

solve problems. You enjoy working with complex information and are confident translating your findings into clear, accessible insight. You will bring: - Experience producing analysis, reports or dashboards that uncover trends, patterns and actionable insights. - Strong skills in data transformation and analysis, using tools such as Python … Excel or Power BI. - A good understanding of statistical methods and an interest in machine learning techniques such as regression, feature engineering or natural language processing. - The ability to communicate analytical concepts clearly to nontechnical colleagues. - A collaborative mindset and confidence working with stakeholders across different service areas. ...

experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modelling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI tools (e.g., Looker ...

experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI tools (e.g., Looker ...

Data Scientist (GIS) - Remote (Data Scientist, Data Science, Data Analyst, Data Analysis, ETL, Sparse data, Spatial data processing, QGIS, Spatial data storage, PostGIS, Jupyter notebooks, Python, Azure Data Factory, Cosmos DB, PostgreSQL, Statistics, Data Analytics, C# .NET, Data Scientist, Data Science, Data Analyst, Data Analysis) Our client … extract actionable insights, build predictive models and develop data-driven solutions to complex problems. You will play a major part in data visualization, statistical analysis and collaboration with cross-functional teams to implement data-driven decision making. We are seeking a GIS focused Data Scientist with experience ...

Software engineering: Git workflows, CI/CD pipelines, testing frameworks p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Analytics: experimentation design, statistical analysis, insight storytelling p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Consulting mindset: stakeholder collaboration, client deliverables, agile delivery ...

experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI tools (e.g., Looker ...

Collaborate with cross-functional teams, including consultants, engineers, and client stakeholders, to design and deliver impactful solutions. Design, build, and deploy machine learning models, statistical analyses, and AI solutions tailored to client needs. Contribute to business development efforts, including proposal writing, solution design, and client presentations. Mentor and coach ...

Senior Information Analyst post holder will work to understand clinical pathways and the data collected, develop processes for collection where appropriate, analysis, validation, presentation and reporting of clinical and corporate business analytics data. This will include ensuring the Trust's information reporting obligations to the Department of Health … information software (e.g. SQL and Cognos) to extract and analyse the necessary data. The successful candidate will also have a solid understanding of statistical analysis techniques. Person Specification Qualifications Essential Educated to Degree standard or equivalent in a relevant subject or with equivalent experiential learning in the field ...

experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI tools (e.g., Looker ...

optimize Machine Learning models Analyze large datasets to uncover trends, patterns, and insights that drive business decisions Develop and test algorithms for machine learning, statistical analysis, or data visualization Assist in cleaning, transforming, and preparing data for analysis Create dashboards and reports to communicate findings effectively … that help them securely accept automated payments, with our industry-leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for age estimation and control access for some of the world's leading companies. By being true to our values of Innovation, Collaboration ...

Analyst will: * Managing, coaching, and developing a small team of analysts.* Leading the squad's analytics roadmap and prioritising workload.* Identifying new opportunities for analysis and shaping future strategy.* Building and maintaining reporting products in SQL and BI tools.* Delivering deep-dive analysis on content performance, consumer behaviour … commercial experience in SQL and data visualisation.* Experience delivering hands-on analytics in digital, content, or product-led environments.* Experience working with Python for statistical analysis or modelling is beneficial.* Demonstrated experience managing analysts, including coaching, development, and difficult conversations.* Ability to balance hands-on technical work with ...

credit risk analytics, helping shape smarter collections strategies, reduce bad debt, and improve outcomes for customers.In this pivotal role, you’ll lead deep-dive analysis into customer portfolio trends, build predictive models, and support the transition to an enterprise data lake. Your insights will directly influence operational improvements, strategic … decisions, and long-term financial resilience. What you’ll do: Conduct root cause analysis of debt accumulation trends. Build and refine predictive models for credit risk and debt recovery. Develop and maintain SQL-based reporting solutions to drive actionable insights. Collaborate across teams to align data governance, infrastructure ...