1 to 25 of 290 Statistical Analysis Jobs in the UK

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 ❯

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 ❯

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 ❯

shaping our data strategy and driving business growth. Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and … load data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that … proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL More ❯

maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Apply data mining and quantitative analysis to understand ways to improve our content selection for customers Perform both ad-hoc and strategic data analyses Build various data visualizations to tell the story and let the … data speak for itself Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Build automation to reduce dependencies on manual data pulls etc. - 2+ years of analyzing and interpreting data with Redshift, Oracle, 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 languages (e.g., Python, Java, or R) - Master's degree or advanced technical degree - Knowledge of data modeling and data pipeline design - Experience with statistical analysis and correlation analysis Our inclusive culture empowers Amazonians to More ❯

Central Customer Analytic teams. There will be a steep learning curve, adding a fair amount of business skills to the individual. Key job responsibilities 1) Ability to do exploratory analysis: Fetch data from systems and analyze trends 2) Identify consumer segments that need to be actioned to drive adoption of Amazon Pay 3) Developing India specific customer segmentation models … payments data team provides data and insights to the partner verticals so as to enable them to take decisions. BASIC QUALIFICATIONS - 3+ years relevant experience in financial/business analysis - Experience defining requirements and using data and metrics to draw business insights - Experience making business recommendations and influencing stakeholders - 3+ years of experience with Advanced SQL, advanced Excel and … Data visualization tool like Tableau, Power BI etc. - Strong acumen and relevant experience in hypothesis testing and exploratory data analysis - 5+ years of experience in B2C business across marketing analytics, consumer research, consumer loyalty functions - Ambitious individual with a strong analytic approach and bias for data based judgement, Inquisitive mindset with proven problem solving ability, and a passion for 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 ❯

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 … 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 ❯

interfaces for enhanced business insights and recommendations • Understand trends related to Amazon business and recommend strategies to stakeholders to help drive business growth. Reporting of key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines. Respond with urgency to high priority requests from senior business leaders. BASIC QUALIFICATIONS - 2+ years of analyzing … 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) PREFERRED QUALIFICATIONS - Master's degree, or Advanced technical degree - Knowledge of data modeling and … data pipeline design - Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country 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 ❯

similar analytics role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with fraud detection or risk analytics Strong attention More ❯

companies, academic institutions, and regulatory agencies across 62 countries. The Associate Director will be responsible for dDesigning, developing, and maintaining R-based tools and workflows for drug discovery, data analysis, and computational simulations. Should be able to adapt existing R scripts and update them to meet new requirements. Ensure code is clean, efficient, and well-documented. Will work closely … with cross-functional teams, including the model-based meta-analysis team, data scientists, and software engineers, to support project goals and deliver technical solutions. Will provide analysis of large datasets related to drug efficacy, pharmacokinetics, and other biological data. Develop statistical models, predictive analytics, and visualizations to inform decision-making in drug development. Responsibilities Validate other team … programming activities. Qualifications Bachelor's or Master's degree in Computer Science, Bioinformatics, Statistics, Mathematics, Pharmaceutical Sciences, or a related field Proven experience programming in R, including data manipulation, statistical modeling, and visualization (experience with packages such as ggplot2, dplyr, shiny, tidyr, etc.). Experience working in bioinformatics, pharmacometrics, or computational biology is a plus. Experience with relational databases More ❯

exceptional experience of developing and applying data systems to pull together disparate datasets. Experience of planning and managing projects/programmes of work, developing and managing script for repeatable analysis along with the use of statistical techniques to find trends and insight from data is essential. You must have the ability to develop complex technical outputs and offer … input to the development of strategies, plans and business cases. Hands-on exploration of data, dashboards, statistical analysis and predictive modelling. Combine qualitative and quantitative driven insights to recommend potential avenues to the business teams. What are we looking for? Degree in Maths, Economics, Physics or a numerate focused degree (min 2:1) - not essential if you have More ❯

business stakeholders. You will define test hypotheses, develop experimental designs, and oversee the implementation of test variations in collaboration with relevant teams. Monitor test performance and analyse results using statistical techniques to identify significant insights and inform decision-making. Act as a contact point for the Test & Learn system and process, offering support to the business. Provide actionable recommendations … based on A/B test findings to improve business outcomes and drive continuous optimisation efforts. Analytics Conduct ad-hoc and planned pieces of analysis using data from several data sources Retrieve data from databases and data warehouses, but also raw data direct from source systems Ability to analyse and visualize data with goal of telling a story, identifying … complex business problems and deliver value for Aldi UK. Use Case Support Provide general administrative, technical, and business partnering support for data science use cases. Conduct comprehensive research and analysis to understand business requirements, data availability, and feasibility of proposed use cases. You will develop detailed use case documentation, including objectives, scope, success criteria, and implementation roadmap. Working closely More ❯

exceptional experience of developing and applying data systems to pull together disparate datasets. Experience of planning and managing projects/programmes of work, developing and managing script for repeatable analysis along with the use of statistical techniques to find trends and insight from data is essential. You must have the ability to develop complex technical outputs and offer … input to the development of strategies, plans and business cases. Hands-on exploration of data, dashboards, statistical analysis and predictive modelling. Combine qualitative and quantitative driven insights to recommend potential avenues to the business teams. What are we looking for? Degree in Maths, Economics, Physics or a numerate focused degree (min 2:1) - not essential if you have More ❯

driven solutions to support our company's objectives. What you will be doing Collaborate across departments to understand business objectives and identify data-driven solutions. Apply machine learning and statistical techniques to analyse complex datasets and generate actionable insights. Design and implement algorithms, models, and experiments to solve business problems and optimise product performance. Build and deploy MI and … to both technical and non-technical stakeholders through reports, visualisations, and presentations. The full life cycle of MI, PBI reports, and Dashboard. Work closely with software developers and data analysis teams to produce innovative reports and dashboards. What we are looking for Statistics, Mathematics, or a related field. Excellent problem-solving abilities, analytical skills, and attention to detail. Proficiency … SQL skills Understanding the Relational Database Data Modelling and Data Warehousing experience Strong communication skills to convey complex technical concepts to various stakeholders. Strong understanding of machine learning algorithms, statistical analysis, and data manipulation techniques. Experience with documenting processes. Data visualisation tools such as Power BI. What we can offer you 11% non-contributory pension scheme from day More ❯

requires experience in building Business Intelligence solutions, paired with bringing a hands-on data engineering mentality. We seek individuals that enjoy to collaborate across stakeholders and that bring excellent statistical and analytical abilities to the team. Heavy Bulky & Services is a growing Amazon business, designed to enable Customers to enjoy website browsing, product shopping and delivery experience for our … and interpreting data with Redshift, Oracle, NoSQL etc. - 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 ❯

working as a BIE in a technology company - 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 developing and presenting recommendations of new metrics allowing better understanding of the performance of the business - Experience using SQL More ❯

of leading analytics teams in ad tech, programmatic advertising, or marketplace platforms. Strong understanding of supply-side dynamics in the digital advertising ecosystem. Expertise in data modeling, ETL pipelines, statistical analysis, and visualization tools (e.g., Tableau, Power BI). Hands-on experience with SQL, Python, R, or similar languages for data analysis. Familiarity with cloud platforms (e.g., AWS More ❯

of leading analytics teams in ad tech, programmatic advertising, or marketplace platforms. Strong understanding of supply-side dynamics in the digital advertising ecosystem. Expertise in data modeling, ETL pipelines, statistical analysis, and visualization tools (e.g., Tableau, Power BI). Hands-on experience with SQL, Python, R, or similar languages for data analysis. Familiarity with cloud platforms (e.g., AWS More ❯