51 to 75 of 285 Statistical Analysis Jobs

Reporting and visualisation: PowerBI, Tableau, Qlik Programming languages: SQL, Python, R Cloud computing platforms: Azure, AWS, GCP Data Strategy Data Manipulation and ETL Data Analysis & Visualization Applying machine learning statistical analysis and other advanced analytics techniques to key business issues faced by our clients that can transform ...

insights and support evidence‐based decision‐making across PlayStation. This role goes beyond traditional A/B testing. You will apply modern causal inference, statistical modelling and machine learning techniques to evaluate initiatives where controlled experiments are difficult or impossible, collaborating closely with product, engineering, analytics and business teams … commercial initiatives. Design and execute robust measurement approaches across randomised experiments, quasi‐experimental methods and observational causal inference where controlled experimentation is impractical. Apply statistical, machine learning and AI techniques to solve complex measurement challenges and generate actionable business insights. Apply advanced data science and machine learning techniques where ...

leaders and cross-functional teams, you will produce insightful reports and presentations that clearly communicate trends, opportunities and recommended actions. Key responsibilities Conduct strategic analysis to identify, assess and recommend opportunities to optimise business performance. Analyse large and complex datasets to uncover trends, risks and commercially valuable insights. Design … stakeholders. Build effective working relationships across the organisation. Present complex information through compelling data storytelling. Skills and experience Proven experience in a business analysis, data analysis or commercially focused analytical role. Strong SQL skills are essential. Experience analysing and managing large or complex datasets. Strong statistical analysis ...

PowerBI, Tableau, Qlik Programming languages: SQL, Python, R Experience in any aspects of the data analytics lifecycle, for example: Data Manipulation and ETL Data Analysis & Visualization Applying machine learning statistical analysis and other advanced analytics techniques to key business issues faced by our clients that can transform ...

clients including data dashboards (Excel or other data visualisation tools), web hosted solutions, Word reports, and PowerPoint presentations Explain complex technical concepts underpinning your analysis in simple terms to clients to help them understand how their business needs are being addressed Identify risk on the assignment, involving Director/… Partner appropriately in its resolution Analytics & AI Solutions Design and build complex database models and insightful visualisation dashboards to perform analysis on large diverse datasets Leading a team in designing analytical solutions (data pipelines, visualisations, machine learning models), undertaking proof-of-concepts, and implementing these solutions to help clients ...

company, or on projects for such companies, would be advantageous. Predictive and/or prescriptive analytics and machine learning. Practical experience of mathematical and statistical analysis and modelling skills, including sensitivity and scenario analysis of analytical models. Demonstrable use of R, Python, Matlab, SAS, SPSS or similar … statistical packages to process data and carry out advanced analytics techniques. Experience in advanced data visualisation techniques along with tools such as Qlik, Power BI and open source visualisation tools. Experience working with professional coding technologies such as Git and Docker. Experience working with modern cloud technologies such ...

related quantitative field (or progress toward them) preferred but not essential depending on work-related experience (essential). 3-5 years in financial analysis, management accounting, business analysis, or commercial finance role, ideally within a service organisation (essential). Demonstrated track record of delivering impactful insights that influenced … Tableau, or similar) (essential). SQL or database query skills desirable. Understanding of financial statements, management accounting principles, and cost analysis.(essential). Statistical analysis and forecasting techniques (essential). Experience with Corrigo desirable. Strong problem-solving abilities with attention to detail, accuracy, and ability to synthesize complex ...

models and delivering value to ourMembersthrough innovative sourcing and data-driven solutions. The Data Scientist will be instrumental in advancingClarusONE’sanalytics capabilities by applying statistical modelling, machine learning, and predictive analytics to complex business problems. This role will drive the development of scalable data science solutions that inform strategic … embed advanced analytics into technology platforms and decision-making processes, supporting the long-term vision and goals of the business. Responsibilities Develop and deploy statistical models, machine learning algorithms, and forecasting tools to support strategic sourcing, supplier risk assessment, and market dynamics. Lead exploratory data analysis and hypothesis ...

schemas, DAX measures, KPIs, calculation logic and documented business rules. Introduce AI in a practical, responsible and well-governed way, identifying opportunities to improve analysis, automate routine tasks and support better decision-making. Help establish one version of the truth by creating consistent definitions, trusted measures, governed models … Services. Use Microsoft Fabric, Power BI and related tools to prepare, model, validate and analyse data, improving data quality, reporting reliability and insight. Apply statistical, predictive and machine learning techniques where appropriate to identify patterns, forecast trends, support segmentation, evaluate impact and generate practical recommendations. Train and mentor other ...

similar analytical role, preferably within the fleet industry Strong proficiency in programming languages including Python, R and SQL for data manipulation, analysis, and modelling Strong commercial acumen, able to contribute directly to overall business strategy and identify opportunities for models and technical solutions to solve commercial problems Strong understanding … statistical analysis, machine learning techniques, and optimisation algorithms Experience with data visualisation tools such as Qlik, Power BI, or Matplotlib for presenting insights and findings is preferable Experience working with Microsoft Fabric, with an understanding of modern data platforms, lakehouse architectures, data engineering, analytics and AI capabilities ...

passion for solving complex problems, and a deep understanding of financial and client behavioural data. You will be responsible for delivering high-impact data analysis, automating reporting processes, and implementing scalable solutions that support strategic decision-making across financial advisory services that support their UK and European businesses. This … hybrid basis from the client's London office. Key Responsibilities Executive level story telling & reporting to influence strategic decisions. Perform advanced data analysis to uncover insights across financial, sales, and client behavioral datasets. Design and implement scalable data solutions and automated reporting workflows. Develop models and dashboards that track ...

will contribute across the full analytics lifecycle, with increasing ownership as you develop: Design data workflows spanning data collection, ETL, analysis, visualisation, and delivery across structured and semi-structured datasets Apply advanced analytical techniques to identify patterns of fraud, corruption, misconduct, and financial crime Implement analytical workflows that … methodologies, and intellectual property within the practice Technology & Data Environment SQL-based data platforms (e.g., SQL Server, PostgreSQL, Oracle, DuckDB) Python for data processing, statistical analysis, and automation Data visualisation tools (Power BI) for storytelling and reporting Professional development environments and tooling (e.g., version control systems such ...

process more than 1.5 million bets per hour at peak. Job Description As a Data Scientist, you will develop machine learning solutions and perform statistical analysis to inform strategic, data-driven business decisions and initiatives. Our Data Analytics team monitors, analyses, and optimises key performance indicators across … systems, and big data technologies. Additional Information Sourcing, cleaning, and validating diverse datasets from various internal and external sources. Conducting in-depth exploratory data analysis to uncover hidden patterns, identify trends, and generate actionable insights that inform strategic business decisions. Developing and deploying robust statistical and machine learning ...

process more than 1.5 million bets per hour at peak. Job Description As a Data Scientist, you will develop machine learning solutions and perform statistical analysis to inform strategic, data-driven business decisions and initiatives. Our Data Analytics team monitors, analyses, and optimises key performance indicators across … systems, and big data technologies. Additional Information Sourcing, cleaning, and validating diverse datasets from various internal and external sources. Conducting in-depth exploratory data analysis to uncover hidden patterns, identify trends, and generate actionable insights that inform strategic business decisions. Developing and deploying robust statistical and machine learning ...

solve real-world problems for some of the world's leading retailers and CPG brands. This is a hands-on role that combines technical analysis with commercial thinking and clear communication. You’ll work closely with colleagues across Client Analytics, Engineering and the wider business, as well as directly … with client teams. You’ll also spend time in client markets and locations, validating your analysis and building a deeper understanding of the operational context behind the data. What you'll be doing Conducting complex data analysis to identify trends, opportunities and areas for improvement. Using statistical ...

aligned with Army training objectives. Design and deliver clear, meaningful visualisations and reports that support operational decision-making. Explore and analyse through use of statistical tools and techniques data to identify patterns, relationships and trends to inform further development. Collaborate with data architects and engineers to ensure analytical outputs … data architectures by contributing analytical requirements and feedback. Communicate analytical findings clearly to non-technical stakeholders to inform strategy and operational improvements. Conduct exploratory analysis and limited prototyping to evaluate emerging data techniques relevant to training analytics. Ensure analytics processes comply with security, governance, and regulatory requirements. Author ...

applications leveraging LLMs, retrieval systems and agentic workflows.* Evaluate emerging AI technologies and recommend practical applications across the organisation.### Data Science & Analytics* Perform advanced statistical analysis and modelling across large-scale operational and engineering datasets.* Develop feature engineering, experimentation and model evaluation frameworks.* Create insights and recommendations that … WHAT YOU'LL BRING:**### Essential Experience* Demonstrable experience delivering machine learning or AI solutions within a large-scale enterprise environment.* Strong experience applying statistical modelling, predictive analytics and experimentation techniques.* Experience working with structured and unstructured data at scale.* Proven ability to translate business problems into measurable analytical ...

performance and customers, embedding these learnings into the Category team's day-to-day decision making. Answer complex business questions through detailed quantitative analysis and experimentation, extracting meaningful and actionable insights. Influence both strategic and tactical decision-making in our EU Leadership and Category Management teams through strong communication … 5+ years of experience in analytics or data science - preferably in fields related to grocery, trading, marketing, or consumer product. A strong understanding of statistical analysis and experiment design. A Bachelor's Degree in Business, Mathematics, Statistics, or other quantitative discipline is beneficial, but not essential. Expert skills ...

scientists supporting the industrialisation of Li-ion batteries and cells. Reporting to the Head of Product Engineering this position will support the capture and analysis of data generated from the production and test of UKBIC baseline and customer products. The purpose of this role is to deliver data insights … analytical workflows. The successful candidate will help shape the evolution of Insights Hub from foundational time-series data visualisation and reporting through to advanced statistical analysis, modelling, machine learning and predictive analytics capabilities. The analytics capability is expected to evolve in stages, beginning with establishing access to manufacturing ...

units. This role will focus on gathering, analysing, and synthesising customer data from multiple sources to inform brand messaging, campaign strategies, audience targeting, trend analysis, and product development. The successful candidate will champion data-driven decision-making, translating complex insights into clear, actionable recommendations that empower stakeholders to make … informed, customer-focused decisions. Customer Insights and Data Analysis Collect and integrate data from multiple sources, including customer behaviour, sales data, market trends, social media, and feedback channels, to build a comprehensive understanding of Footasylum’s customers. Conduct in-depth analysis to identify customer preferences, behaviours, and trends ...

develop data science and artificial intelligence solutions that improve research, operational efficiency, and decision-making. This role combines strong foundations in data management, statistical modeling, machine learning, and computational social science with emerging capabilities in generative AI and large language models (LLMs). The Data Scientist I will contribute … Social Sciences The Methodology and Quantitative Social Sciences department implements state-of-the-art methodologies and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection ...

revenue and market trends. Bring together insight from multiple sources to build a clear and balanced view of performance, opportunities and risks. Transform complex analysis into simple, engaging and actionable stories for audiences at all levels of the organisation. Create presentations, reports and visualisations that explain not only what … revenue strategy, pricing, promotions or player lifecycle analysis. Experience working with Google Cloud Platform, BigQuery, Databricks or similar data platforms. Familiarity with Python for analysis, although this role is not expected to build production data pipelines. Understanding of statistical analysis, experimentation or predictive modelling. Experience working across ...

assisted development: High proficiency using Kiro/Claude as daily development tools not just prompting, but leveraging AI to accelerate pipeline development, data analysis, and automation Skills & agents: Hands-on experience building AI skills and agents within the Amazon internal ecosystem (AIM, MCP integrations), or a strong desire … 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) Experience with SQL Experience in the data/ ...

efficient, optimised and scalable reports and visualisations. Ability to design dashboards that clearly communicate complex data and insights to a range of stakeholders. Data Analysis & Synthesis Strong experience integrating multiple data sources into a conformed data model for analysis. Proficiency in SQL, Python, Power Query and M . Experience … data cleansing, transformation and preparation for reporting and analysis. Proven experience applying a broad range of statistical techniques to support data-driven decision-making. Strong understanding of averages, standard deviation, correlation, regression and statistical significance testing . Ability to interpret statistical results and communicate findings clearly ...

quite flexible as a team and meet in person as needed for meetings and team collaboration. We are passionate about delivering high-quality analysis and insight, using data and evidence to support decision-making, reduce health inequalities and improve the health and wellbeing of Surrey's residents. Our Offer … order to be considered for shortlisting, your application will clearly evidence the following skills, experience and align with our behaviours: Experience of using statistical and epidemiological methods for analysing data sets Experience of working with multiple sets of health-related data Experience of using analytics as evidence within assessments ...