1 to 25 of 49 Statistical Analysis Jobs

Job Description: AI Task Evaluation & Statistical Analysis Specialist Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). … Key Responsibilities Statistical Failure Analysis: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) Root Cause Analysis: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations Dimension Analysis: Analyze performance variations across finance sub-domains, file types, and task categories Reporting & Visualization: Create dashboards and … reports highlighting failure clusters, edge cases, and improvement opportunities Quality Framework: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings Stakeholder Communication: Present insights to data labeling experts and technical teams Required Qualifications Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition Programming: Proficiency in Python (pandas, scipy More ❯

customers, relating to data integrity, reporting accuracy, and performance insights are satisfied in a timely and efficient manner.The Data Analyst will lead and facilitate the use of various data analysis processes and tools, striving toward standardised data management and reporting practices across the business. The role supports forecasting, performance modelling, data-driven decision-making, and reporting for key business … customers and internal teams through accurate reporting, proactive analytics, and early identification of performance or process issues.Skills and Responsibilities *Support key business portfolios through the use of appropriate data analysis and problem-solving techniques to provide regular performance and trend reporting for products, services, or platforms, using data from multiple sources, with strong attention to detail and analytical rigor. … Perform statistical analysis including data categorisation, trend analysis, variance analysis, and identification of significant factors affecting business performance.*Monitor key metrics through dashboards and early warning systems to identify risks, inefficiencies, or opportunities for improvement.*Standardise data analysis and reporting methods across the business to drive simplicity, efficiency, and accuracy.*Responsible for producing, visualising, and More ❯

relating to data integrity, reporting accuracy, and performance insights are satisfied in a timely and efficient manner. The Data Analyst will lead and facilitate the use of various data analysis processes and tools, striving toward standardised data management and reporting practices across the business. The role supports forecasting, performance modelling, data-driven decision-making, and reporting for key business … and internal teams through accurate reporting, proactive analytics, and early identification of performance or process issues. Skills and Responsibilities *Support key business portfolios through the use of appropriate data analysis and problem-solving techniques to provide regular performance and trend reporting for products, services, or platforms, using data from multiple sources, with strong attention to detail and analytical rigor. … Perform statistical analysis including data categorisation, trend analysis, variance analysis, and identification of significant factors affecting business performance. *Monitor key metrics through dashboards and early warning systems to identify risks, inefficiencies, or opportunities for improvement. *Standardise data analysis and reporting methods across the business to drive simplicity, efficiency, and accuracy. *Responsible for producing, visualising, and More ❯

great work culture and environment Working with stakeholders across various teams Delivering insights on customers including demographic, LTV and engagement Regularly conducting a/b tests and other experiments Analysis incl. statistical analysis with tools such as Python/R desirable Development of some reports/dashboards in Tableau YOUR SKILLS AND EXPERIENCE The successful Product Data More ❯

and optimize SQL queries for data extraction, manipulation, and analysis. Collaborate with cross-functional teams (business, product, operations, and technology) to define data needs and deliver actionable insights. Apply statistical techniques and data modeling to evaluate business performance and forecast future outcomes. Ensure accuracy, integrity, and security of datasets by implementing proper data governance practices. Present clear, concise, and … field. Proven experience as a Data Analyst or in a similar role. Strong proficiency in SQL, Excel, and data visualization tools (Tableau, Power BI, or similar). Familiarity with statistical analysis and data modeling techniques. Experience with Python or R for data manipulation and analysis (preferred). Excellent problem-solving skills with attention to detail. Strong communication … skills to explain complex data in simple terms. Preferred Qualifications Experience working with large datasets and relational databases. Knowledge of data warehousing concepts and ETL processes. Background in business analysis or domain-specific data analytics. What We Offer Pre job Industrial Training to prepare you for the job. Certification, resume preparation will be done. Employer's Confirmation Letter/ More ❯

analyses using advanced BI tools (e.g., SQL, Power BI, Qlik Sense, R) to inform clinical and operational decision-making.oGuide the team in applying advanced technical expertise in data manipulation, statistical analysis, and forecasting to provide actionable insights.oTake a proactive approach to identifying patterns, trends, and signals in data sets, translating them into meaningful information that supports Trust initiatives … clearly and effectively to a variety of stakeholders, including those with varying levels of data literacy.oDrive continuous improvement within the team by identifying and implementing best practices in data analysis, reporting, and business intelligence. About us Diversity makes us interesting... Inclusion is what will make us outstanding. Inequality exists and the journey to eliminate it is not easy. Every … and deliver value for money. Identify opportunities for cost savings and income generation through effective data management and business intelligence activities. Maintain extensive knowledge of systems, methodologies, techniques and statistical methods for undertaking complex analysis of a variety of complex and conflicting data.Present complex analysis to a variety of internal and external staff where there are barriers More ❯

of a broader data architecture Exposure to Microsoft Fabric implementations, including Azure Data Factory, SSIS, or SSRS Advanced Excel skills, including pivot tables, complex formulas, and macros Familiarity with statistical analysis tools such as Python, R, or SAS is advantageous Experience with Power Platform tools, including PowerApps, Power Automate, and DAX/M languages in Power BI Previous More ❯

improve services. You will also use 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 a focus on identifying trends. … tools and techniques, such as 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 of key issues in social housing, such More ❯

improve services. You will also use 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 a focus on identifying trends. … tools and techniques, such as 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 of key issues in social housing, such More ❯

e.g., MRI, Northgate, Civica, or 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, pattern recognition, and anomaly detection More ❯

e.g., MRI, Northgate, Civica, or 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, pattern recognition, and anomaly detection More ❯

with our growth in the UK and Ireland, we're looking for a Data Analyst to join our dynamic technology team. You will be responsible for the collection and analysis of data from various sources in order to provide insights and solutions for various business problems using various tools and techniques, such as statistics, programming, databases, visualisation and machine … experience in relevant areas, including queries, reports, and presentations Experience with database and model design and segmentation techniques Proven success in a collaborative, team-oriented environment Practical experience in statistical analysis through the use of statistical packages, including Excel, PowerBI, SPSS, and SAS Strong programming experience with frameworks, including XML, JavaScript, and ETL Experience of managing Microsoft … an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity Creating and maintaining rich interactive visualisations through data interpretation and analysis, with reporting components from multiple data sources Defining and implementing data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to More ❯

challenges and enhance efficiency. What You Will Have: Essential Skills & Expertise: Programming Proficiency: Strong command of programming languages, including Python, R, or SQL . BI & Analytics: Strong understanding of statistical analysis, and proven proficiency with data visualization tools (e.g., Tableau, Power BI ). Tool Competency: Highly competent user of the Microsoft ecosystem, including PowerApps, SharePoint, and Microsoft Office More ❯

challenges and enhance efficiency. What You Will Have: Essential Skills & Expertise: Programming Proficiency: Strong command of programming languages, including Python, R, or SQL . BI & Analytics: Strong understanding of statistical analysis, and proven proficiency with data visualization tools (e.g., Tableau, Power BI ). Tool Competency: Highly competent user of the Microsoft ecosystem, including PowerApps, SharePoint, and Microsoft Office More ❯

imagery, drone data, IoT sensors) and extract meaningful patterns. Design, build, and maintain scalable, cloud-enabled large data pipelines for cleaning, transforming, and integrating diverse geospatial data sources. Perform statistical analysis and data mining to uncover spatial and temporal trends that inform agricultural management strategies. Engineer innovative features from remote sensing data to enhance model accuracy and performance. … Geographic Information Science, Remote Sensing, Computer Science, Data Science, or a related field with a strong focus on geospatial analysis. 5+ years of experience in satellite and geospatial data analysis and modeling. Proficiency in Python programming, with experience in geospatial libraries such as GeoPandas, Rasterio, and related tools. Expertise in machine learning for earth observation applications (e.g., image classification … object detection, time series analysis). Experience with geospatial foundation models. Experience with version control systems (e.g., Git) and collaborative software development practices. Experience leveraging generative AI tools to optimize workflows, automate tasks, and enhance productivity in geospatial analysis and data science projects. Skills Excellent written and verbal communication skills in English. Strong analytical and problem-solving skills More ❯

to the design and implementation of dashboards and reporting solutions, providing actionable insights. Collaborate with cross-functional teams to gather data requirements and ensure accurate data collection. Conduct data analysis to identify trends, patterns, and opportunities for improvement. Help prepare presentations and reports for clients, effectively communicating results and strategic recommendations. Mentor and support junior analysts within the team … as Power BI, Qlik, or Tableau. Solid understanding of SQL for data extraction and manipulation. Familiarity with programming languages such as Python or R for data analysis. Experience with statistical analysis methodologies and data visualization techniques. Ability to communicate complex data insights clearly and effectively to stakeholders. Demonstrated experience in managing projects and collaborating with cross-functional teams. More ❯

to push data into Power BI Create and format data structures within safe databases and/or internal systems like Snowflake or SharePoint Continuously enhance data collection, storage, and analysis methods What We Are Looking For: Strong understanding of statistical analysis and data visualization tools (e.g., Tableau, Power BI) Degree in Computer Science, Data Science, Mathematics, or More ❯

Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and data mining to extract insights from large, diverse datasets. Translate complex data findings into clear and actionable recommendations for both technical and non-technical audiences. Ensure More ❯

our busy and friendly team in the Performance and Analytics Team (within the wider Systems, Analytics, and Service Improvement team). This is an opportunity to develop your data analysis skills, report building/writing skills, and presentation skills in order to produce creative reports which support commissioning in Adults, Wellbeing, and Health Partnerships. Key focus areas will be … By translating complex data into clear, impactful information, you will support frontline workers in delivering more effective and personalised care, ultimately improving the lives of our residents. Through data analysis, you will help streamline operations and ensure that resources are allocated where they are needed most. Your efforts will lead to more efficient use of time and funds, which … following skills and align with our behaviours: Strong analytical skills: Proven ability to analyse complex data sets, identify trends, and draw actionable insights. Experience with data visualization tools and statistical analysis software is essential. Creative problem-solving ability: Ability to develop innovative solutions to data-related challenges. Ability to think outside the box and approach problems from multiple More ❯

health and sustainability, as well as the performance of our products and our suppliers. We don't wait to make good things happen so providing our teams with proactive analysis to support the identification of trends and understanding what our customers are telling us is key. There has never been a more exciting time to be in data at … be a plus. Experience acquiring structured, semi- structured and unstructured data from various sources, including databases, blob storage and API's. Experience in both producing datasets and reports for analysis and presenting findings and making recommendations to stakeholders. Employ Databricks for collaborative data exploration, manipulation, and visualisation. Engage in all stages of model development, from conception to deployment and … communication skills, capable of conveying complex ideas to technical and non-technical audiences. A team player who is also capable of working independently when required. Familiarity with machine learning, statistical analysis, A/B testing, and predictive modelling techniques would be advantageous. We put our customers at the heart of everything and you will seek to understand their More ❯

architecture, updating pay ranges, and leading annual pay review processes from creative modelling through smooth implementation. Design, develop, and deliver regular workforce analytics and reward reports using advanced data analysis techniques such as scenario modelling and statistical analysis to drive real impact. Safeguard the accuracy, integrity, privacy, and security of all HR data by ensuring robust system More ❯

domains. Strong SQL skills and 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, Power BI, Tableau). Experience More ❯

Data Scientist - Remote (Data Scientist, Data Science, Data Analyst, Data Analysis, ETL pipeline, Jupyter notebooks, Python, Azure Data Factory, Cosmos DB, PostgreSQL, QGIS, PostGIS, Statistics, Data Analytics, C# .NET, Data Scientist, Data Science, Data Analyst, Data Analysis) Our client is a prestigious technology company who focus in the Insurance market. They have been a market leader for many … responsible for analysing large datasets to 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 Data Scientist with experience of Python and Jupyter notebooks with the … implications, full ETL pipeline experience and full data lifecycle management knowledge. Essential skills include Jupyter notebooks and Python, strong Data Visualization and presentation, expertise in Data Science and Data Analysis and proficiency in Statistics and Data Analytics. Knowledge of Azure Data Factory, Cosmos DB, PostgreSQL, QGIS/PostGIS and C#.NET is highly desirable, as is any experience in the More ❯

contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football … industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series … etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming (e.g., PyMC). Stakeholder Management: Proven success working directly with business stakeholders to define and deliver impactful solutions. What They Offer Work More ❯

datasets, and share insights to optimise category performance. You will collaborating with In-Stock Merchandising team and will manage another Data Analyst to drive NPD, category decision-making, and analysis in product buying and inventory management. Key responsibilities of this Data Scientist - Category Management : Partner with the Data Team to measure and report on availability levels and their impact … experience in analytics or data science, preferably in grocery, operations, marketing or consumer products. Open to experience in Investment Banking as Senior Associate or VP level Strong understanding of statistical analysis and experiment design. Ideally a bachelor's degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine More ❯