1 to 25 of 336 Statistical Analysis Jobs in the UK

all over the world. In this role, you'll getto: Spearhead the development, execution, and optimization strategy for growing Agoda's new & emerging marketing channels Conduct end-to-end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights Develop hypotheses, design experiments (e.g., A/B tests), and … levels of stakeholders (including Senior Management) with proven strong commercial acumen It's great if you have: Experience in digital or social media marketing Experience in hypothesis testing frameworks, statistical analysis, and using Python/R for data manipulation and analysis. data representation data analysis SQL data analytics analytics python (programming language) data mining data science r … programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. More ❯

work with a variety of data sources, analyze trends, and support decision-making through your insights and expertise. This role will involve collaborating with project teams, managing datasets, performing statistical analysis, and presenting findings in a clear and concise manner to both technical and non-technical stakeholders. Key Responsibilities: Collect, clean, and organize large datasets from various sources … related to energy consumption, emissions, environmental factors, and sustainability metrics. Conduct in-depth analysis of energy usage trends, carbon footprints, and environmental data to support clients in their sustainability goals. Apply statistical techniques and models to identify patterns, correlations, and forecasts relevant to energy transition and environmental management. Develop data visualizations, dashboards, and reports to communicate findings and … in Data Science, Statistics, Environmental Science, Engineering, or a related field. Proven experience working with large datasets, preferably within the energy, environmental, or sustainability sectors. Strong proficiency in data analysis tools such as Excel, SQL, Python, R, or similar. Experience with data visualization tools like Power BI, Tableau, or similar platforms. Knowledge of energy systems, environmental policies, and sustainability More ❯

Salary: £55,000 - £60,000 per annum Employment type: Permanent Hours per week: 37 Reporting into: Director of Analysis, Insights and Performance Department: Analysis, Insights and Performance Click here to read the full job description and view our excellent benefits here This role operates primarily on a remote working arrangement that will require little to no travel into … There has never been a more exciting time to join Arden University, as we expand into new disciplines, forge worldwide partnerships, and expand our locations. About our Department : The Analysis, Insights & Performance department at Arden University plays a vital role in driving data-driven decisions. By providing valuable insights, monitoring performance, and promoting innovation, the team supports the university … s mission to enhance student outcomes and drive continuous improvement. About the Opportunity: As the Principal Data Analyst at Arden University, you will use your mathematics, statistical, and visualisation expertise to drive improvements in student experience, student outcomes, and operational efficiency. You'll promote the highest possible standards in analytical rigour at Arden University. You'll oversee, manage, and More ❯

the Role A Data Analyst is responsible for interpreting data, analyzing results, and generating actionable insights to guide decision-making within an organization. They work with large datasets, employing statistical tools, visualization software, and database querying to identify trends, solve problems, and support business goals. Main Duties Data Collection and Preparation: Gather data from primary and secondary sources. Clean … and preprocess data to ensure accuracy and completeness. Organize data into usable formats, including databases or spreadsheets. Data Analysis: Analyze datasets to identify patterns, trends, and correlations. Use statistical methods to provide insights and solve business challenges. Perform predictive analysis to forecast outcomes. Visualization and Reporting: Develop dashboards and visualizations to present data insights. Create detailed reports … recommendations. Communicate insights effectively to both technical and non-technical audiences. Work closely with cross-functional teams, including marketing, sales, finance, and IT. Understand business requirements to tailor data analysis efforts. Tool and Technology Utilization: Use software such as Excel, SQL, Python, R, Tableau, Power BI, or other analytics tools. Manage and maintain data systems and databases. Stay updated More ❯

may be available for exceptional candidates. The ideal candidate will have a minimum of 5 years' experience in data science or a related field, with extensive knowledge of advanced statistical analysis and machine learning algorithms. Proficiency in Python, R, and SQL is essential. As a Senior Data Scientist, you will play a key role in developing data solutions … valuable insights from complex datasets, develop advanced machine learning models, and drive data-driven decision-making across the organisation. Main Duties Design and implement sophisticated machine learning algorithms and statistical models to solve complex business problems Collaborate with cross-functional teams to identify opportunities for data-driven solutions and improvements Develop and maintain scalable data pipelines for efficient data … processing and analysis Create compelling data visualisations and reports to communicate findings to both technical and non-technical stakeholders Mentor junior data scientists and contribute to the overall growth of the data science team Stay abreast of the latest advancements in data science and machine learning, incorporating new techniques and technologies as appropriate Contribute to the development of best More ❯

will also play a key role in suggesting and implementing process improvements for the team to mitigate risks and enhance the overall client experience. JOB SUMMARY AND RESPONSBILITIES: Data Analysis and Process Improvement: •Analyze trade lifecycle and operational workflows to identify areas for optimization and automation. •Enable strategic decision making through data driven analytics. •Develop detailed technical specifications for … target data warehouses or databases. Risk Mitigation and Data Governance: •Implement data validation rules and monitoring mechanisms to ensure the accuracy and reliability of data used for reporting and analysis, adhering to data quality standards and regulatory requirements Stakeholder Management and Prioritization: •Work with stakeholders to define project scope, objectives, and deliverables, creating detailed project plans and timelines. •Communicate … complex calculations, custom visualizations, and performance optimization. •SQL Development Skills: Mastery of SQL, including the ability to write complex queries, stored procedures, views and perform query optimization. •Programming/Statistical Analysis Skills: Working knowledge of R or Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data warehousing principles, dimensional modeling techniques More ❯

all over the world. In this role, you'll getto: Spearhead the development, execution, and optimization strategy for growing Agoda's new & emerging marketing channels Conduct end-to-end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights Develop hypotheses, design experiments (e.g., A/B tests), and … levels of stakeholders (including Senior Management) with proven strong commercial acumen It's great if you have: Experience in digital or social media marketing Experience in hypothesis testing frameworks, statistical analysis, and using Python/R for data manipulation and analysis. data representation data analysis SQL data analytics analytics python (programming language) data mining data science r … programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server digital marketing social media content marketing Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment More ❯

big data" sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and … document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards. Build pipelines for quality control, processing and analysis of raw targeted and un-targeted datasets. Develops and codes software programs and leverages algorithms and methodologies being developed by the scientific community for use cases of relevance to Altos Labs. Stay current with … such as Biology, Chemistry, Computer Science, Physics, etc. Relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong More ❯

will define and maintain reports 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 across the business. Develop, improve … analytics, preferably in a subscription-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 Studio. Excellent stakeholder management skills … to non-technical audiences. Knowledge 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: 25 days' holiday (increasing by More ❯

judgments and get the right things done. We seek a Business Intelligence (BI) Engineer to strengthen our data-driven decision-making processes. This role requires an individual with excellent statistical and analytical abilities, deep knowledge of business intelligence solutions and have the ability to strongly utilize the GenAI technologies to analyse and solving problem, able to collaborate with product … Translate business problems into analytical requirements and define expected output 2) Develop and implement key performance indicators (KPIs) to measure business performance and product impact. Responsible for deep-dive analysis on key metrics. 3) Create & execute analytical approach to solve the problem inline with stakeholder expectation 4) Strongly leveraging GenAI technologies to solve problems and building solutions 5) Be … NoSQL etc. experience - Experience with 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) - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline More ❯

modeling, predictive analytics, and computational intelligence to analyze complex systems, support strategic decision-making, and optimize sustainability outcomes. Responsibilities include, but are not limited to: Develop advanced mathematical and statistical models to support data-driven insights and decision-making. Design and implement predictive and prescriptive analytics frameworks to assess and forecast key trends. Apply AI and machine learning techniques … to enhance data-driven methodologies. Conduct real-time analytics to track ongoing trends and develop automated monitoring systems. Perform scenario analysis and simulation modeling to evaluate potential outcomes and strategic interventions. Utilize Life Cycle Assessment (LCA) methodologies to support data-driven impact assessments. Build optimization models to enhance efficiency and sustainability within complex systems. Collaborate with data scientists, engineers … enhance analytical methodologies. Qualifications and Skills: Master’s or Ph.D. in Mathematics, Data Science, Statistics, Environmental Science, AI, Computational Modeling, or a related field. Strong expertise in mathematical modeling, statistical analysis, and computational techniques. Proficiency in AI and machine learning algorithms, particularly in predictive modeling and data-driven decision-making. Experience with programming languages such as Python, R More ❯

modeling, predictive analytics, and computational intelligence to analyze complex systems, support strategic decision-making, and optimize sustainability outcomes. Responsibilities include, but are not limited to: Develop advanced mathematical and statistical models to support data-driven insights and decision-making. Design and implement predictive and prescriptive analytics frameworks to assess and forecast key trends. Apply AI and machine learning techniques … to enhance data-driven methodologies. Conduct real-time analytics to track ongoing trends and develop automated monitoring systems. Perform scenario analysis and simulation modeling to evaluate potential outcomes and strategic interventions. Utilize Life Cycle Assessment (LCA) methodologies to support data-driven impact assessments. Build optimization models to enhance efficiency and sustainability within complex systems. Collaborate with data scientists, engineers … enhance analytical methodologies. Qualifications and Skills: Master’s or Ph.D. in Mathematics, Data Science, Statistics, Environmental Science, AI, Computational Modeling, or a related field. Strong expertise in mathematical modeling, statistical analysis, and computational techniques. Proficiency in AI and machine learning algorithms, particularly in predictive modeling and data-driven decision-making. Experience with programming languages such as Python, R More ❯

modeling, predictive analytics, and computational intelligence to analyze complex systems, support strategic decision-making, and optimize sustainability outcomes. Responsibilities include, but are not limited to: Develop advanced mathematical and statistical models to support data-driven insights and decision-making. Design and implement predictive and prescriptive analytics frameworks to assess and forecast key trends. Apply AI and machine learning techniques … to enhance data-driven methodologies. Conduct real-time analytics to track ongoing trends and develop automated monitoring systems. Perform scenario analysis and simulation modeling to evaluate potential outcomes and strategic interventions. Utilize Life Cycle Assessment (LCA) methodologies to support data-driven impact assessments. Build optimization models to enhance efficiency and sustainability within complex systems. Collaborate with data scientists, engineers … enhance analytical methodologies. Qualifications and Skills: Master’s or Ph.D. in Mathematics, Data Science, Statistics, Environmental Science, AI, Computational Modeling, or a related field. Strong expertise in mathematical modeling, statistical analysis, and computational techniques. Proficiency in AI and machine learning algorithms, particularly in predictive modeling and data-driven decision-making. Experience with programming languages such as Python, R More ❯

teams to identify opportunities for enhancement, make informed recommendations, and contribute to the strategic direction of our two sided marketplace platform. This role requires a deep understanding of data analysis, market trends, and a strong ability to work with or mentor other analysts in the team to communicate findings effectively to stakeholders. Key Responsibilities: Data Analysis and Insights … a data-driven culture within the organisation by sharing best practices and insights. Continuous Learning Stay up-to-date with industry trends, best practices, and emerging technologies in data analysis and product analytics. Continuously improve data collection processes and tools. Bachelor's or Master's degree in a related field (e.g., Data Science, Statistics, Business Analytics). 7+ years … of experience with at least 3+ years of experience as a Product Analyst, or similar role in a 2-sided marketplace or e-commerce environment. Proficiency in data analysis tools and languages such as SQL, Python, or R. Strong knowledge of data visualisation tools (e.g., Tableau, Power BI, Looker). Experience with A/B testing, experiment design, and More ❯

BI, WebApp and data product interfaces, leveraging UI/UX design and UAT processes. Enabling data-driven insights: Conduct data modelling best practices through schema design, semantic modelling and statistical analysis, while understanding sector-specific datasets and business processes to deliver actionable insights. Leading scalable delivery: Operate as a product owner, managing agile planning, governance, and execution to … across various stages of End-to-End Analytics/AI Transformation or Large-scale Deployments/Technology Implementation Programmes Technical and Analytical Skills: Strong analytical skills, including data modelling, statistical analysis, machine learning, and advanced analytics with solid experience delivering best practice data models within an organisation Familiarity with project governance tools and artifacts for product delivery (e.g. … reports such as Power BI, Tableau, Qlik, Looker etc. Experience in UX design, requirements gathering, data-driven decision-making, risk assessment, KPI framework development, or value tracking and value analysis Experience in ingestion, integration, data engineering, data quality and observability, dataset identification Experience in high-level architecture, solution design or platform licensing Experience in business case development and financial More ❯

design and implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives • Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data • Collaborate cross-functionally with data engineers, data scientists, and business partners to define and More ❯

model improvements, uncover key insights, and 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 and generalization. Analyzing … engineering team to 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 analysis to … in Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch. Proven experience with statistical analysis, hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large More ❯

model improvements, uncover key insights, and 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 and generalization. Analyzing … engineering team to 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 analysis to … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large More ❯

model improvements, uncover key insights, and 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 and generalization. Analyzing … engineering team to 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 analysis to … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large More ❯

new role As a Business Intelligence Data Analyst, you will transform raw data into actionable insights to inform business decisions and monitor performance. You will lead the full data analysis lifecycle, from requirements analysis and data modelling to designing reusable metrics and front-end report development.A crucial part of your role is ensuring that key metrics and findings … Oversee and improve existing business insights reports, ensuring data accuracy and integrity. Design and build reports, dashboards, and analytical solutions using SQL, Power BI, and other tools. Perform advanced statistical analysis and interpret trends in large datasets. Extract and prepare data for regulatory submissions and external reporting. Provide expert guidance on data queries and support ad-hoc reporting … or DataBricks is preferred. Expertise in T-SQL to write complex queries and stored procedures. Understanding of database optimisation, data mining, auditing, and segmentation. Skilled in data visualisation and statistical techniques such as linear regression. Ability to conduct user acceptance testing and ensure data integrity. Confidence to challenge existing processes and recommend improvements. Effective communication skills and the ability More ❯

as appropriate. Analyse complex datasets to uncover actionable insights for our audience. Ensure compliance with best practices in data governance. Lead data projects and guide team members in data analysis and governance practices. Build a high-performing team of data analysts, with a blended onshore, nearshore and offshore approach to support effective resourcing. Lead the upskilling of our content … and research teams in data analysis, data-led storytelling and data visualisation. Support the programme to transform our content into data that can be mined for trends and insights by our content creation teams, and also drive the creation of new data analysis tools for our subscribers. Support the development of internal and client-facing products driven by … improved access to, and interrogation of, our existing and potential data. Skills Knowledge and Expertise Technical skills Data analysis and visualisation: proficiency in tools like Infogram, Tableau, and Power BI. Statistical analysis: strong understanding of statistical methods and their application in data analysis. Data management: experience with data cleaning, data warehousing, and data governance. Machine learning More ❯

testable, maintainable code with minimal defects and automate manual processes. • Proficiency in one or more industry analytics visualization tools (e.g. Excel, Tableau/Quicksight/PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders. • Building and owning small to mid-size BI solutions with high accuracy and on time delivery using … data sets, queries, reports, dashboards, analyses or components of larger solutions to answer straightforward business questions with data incorporating business intelligence best practices, data management fundamentals, and analysis principles. • Good understanding of the relevant data lineage: including sources of data; how metrics are aggregated; and how the resulting business intelligence is consumed, interpreted and acted upon by the business … 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 (Python) to process data for More ❯

directly impact Amazon's delivery promise capabilities. You will collaborate with Supply Chain and Delivery Experience teams to optimize network speed and enhance customer experience. The role involves data analysis, statistics, machine learning, and usage of AWS services. We are looking for someone who thrives in a fast-paced environment, demonstrates strong project management capabilities, and excels at stakeholder … communication. Your ability to understand complex business problems and translate them into analytical solutions will be crucial for success in this role. We conduct new analysis from ground up, proposing new concepts and technology to meet business needs, and need BIEs who enjoy and excel at diving into data to analyze root causes and implement long-term solutions. As … with different stakeholders to drive improvements over time. You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, and expose data from our group to wider teams in intuitive ways. As a BIE embedded in the business team you have the opportunity to participate and shape program More ❯

quality analytics and insights to support strategic initiatives and operational performance Develop and maintain dashboards, reports and visualisations to communicate key trends and findings Conduct predictive modelling and scenario analysis to inform long-term business planning Act as a trusted data partner for business leaders, translating data into actionable recommendations Champion data integrity, governance and compliance, ensuring the highest … new methodologies and technologies What we'd like to see from you: Proficiency in SQL, advanced Excel, and data visualisation tools like Power BI or Tableau. Strong experience in statistical analysis and programming using tools like Python or R for advanced data manipulation, automation, and analysis. Exceptional ability to identify trends, provide actionable insights, and contribute to strategic More ❯

quality analytics and insights to support strategic initiatives and operational performance Develop and maintain dashboards, reports and visualisations to communicate key trends and findings Conduct predictive modelling and scenario analysis to inform long-term business planning Act as a trusted data partner for business leaders, translating data into actionable recommendations Champion data integrity, governance and compliance, ensuring the highest … new methodologies and technologies What we'd like to see from you: Proficiency in SQL, advanced Excel, and data visualisation tools like Power BI or Tableau. Strong experience in statistical analysis and programming using tools like Python or R for advanced data manipulation, automation, and analysis. Exceptional ability to identify trends, provide actionable insights, and contribute to strategic More ❯