51 to 75 of 647 Statistical Analysis Jobs in England

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 ❯

Senior Marketing Data Analyst Role: Senior Marketing Data Analyst Specialism(s): MMM (Marketing Mix Models), Experimentation, Geo-Testing, A/B Testing, SQL, Data Warehouse, Snowflake, Python/R, Statistical Analysis, Stakeholder Engagement, Communication, Presentation Skills Type: Contract, Inside IR35 Location: London (Hybrid) Start: ASAP/Urgent Duration: 6+ Months Pay Rate: TBC – Market Rates Senior Marketing Data … Experience Demonstrable experience working as a Data Scientist, Data Analyst or Marketing Data Analyst Highly proficient in SQL Exposure to Data Warehousing technologies (e.g. Snowflake) Excellent technical proficiency in statistical analysis tools – Python and/or R Proven experience and strong knowledge of regression analysis including MMM and A/B Testing Strong verbal and written communication More ❯

innovating on behalf of our customers is at the heart of everything we do. As BIE you will work closely with our business and finance teams building analytical and statistical/machine learning solutions that drive performance improvements for the business. Key focus areas will be customer insights and engagement as well as overall process optimization. You will act … as a consultant to the business surfacing deep insights, providing easy to use tools for analysis and reporting as well as generating actionable learnings for the team. Data-driven decision-making is at the core of Amazon’s culture and this role will have a direct impact on the decisions and strategy of the Prime Video Channels across multiple … the business - Set up and maintain self-service infrastructure (e.g. dashboards) for the team - Generate and present concrete and actionable insights and recommendations for leadership based on sound methodological analysis - Proactively create new metrics that represent key inputs/outputs of the business - Support automation processes across the team - Lead large scale projects data and analytical projects that help 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 ❯

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 ❯

analysing and interpreting customer data to provide actionable insights that drive business decisions, enhance customer experiences, and improve overall marketing strategies. The role requires a strong understanding of data analysis, customer behaviour, and data visualization, along with the ability to work cross-functionally with marketing, sales, and product teams. The successful applicant will have previous experience with Customer Segmentation … and Analysis, not necessarily from a fashion background. The role sits within a highly successful and profitable fast-growing ecommerce team. Candidates should be prepared to discuss their alignment to the core Kurt Geiger leadership principles of: Love Technology, Work Hard, Be Positive, Know What Good Looks Like, Own Your Own Future, Look For Solutions, Be a Part of … systems, transactional databases, web analytics, etc.) through mParticle and Snowflake our core Customer Data Profile Warehouse. Ensure the accuracy, consistency, and integrity of data used for analysis. Customer Insights & Analysis: Analyse customer data to identify trends, behaviours, and preferences that inform business strategy. Own the Segmentation of the customer base based on demographics, purchase patterns, and behaviour to improve More ❯

us discover the information hidden in vast amounts of data and make smarter decisions to deliver even better products. Your primary focus will be on applying data mining techniques, statistical analysis, and building high-quality prediction systems integrated with our products. A data scientist is someone who creates value from data. Such a person proactively fetches information from … typically include creating various machine learning-based tools or processes within the company, such as recommendation engines or automated lead scoring systems. They should also be able to perform statistical analysis. Requirements Python for DS (the usuals pandas plotting etc) Modelling skills for both ML applications and data reporting SQL at least basics but by year 3 should be … Excellent communication skills, both verbal and written, and must be comfortable delivering presentations and facilitating workshops Key Accountability Cleaning and preparation of large data sources in different formats for analysis Analysis of data for identifying trends and correlations Development of predictive & generative models Design and development of databases Organisation, interpretation, and visualisation of data Development, implementation, maintenance, and More ❯

innovating on behalf of our customers is at the heart of everything we do. As BIE you will work closely with our business and finance teams building analytical and statistical/machine learning solutions that drive performance improvements for the business. Key focus areas will be customer insights and engagement as well as overall process optimization. You will act … as a consultant to the business surfacing deep insights, providing easy to use tools for analysis and reporting as well as generating actionable learnings for the team. Data-driven decision-making is at the core of Amazon's culture and this role will have a direct impact on the decisions and strategy of the Prime Video Channels across multiple … the business - Set up and maintain self-service infrastructure (e.g. dashboards) for the team - Generate and present concrete and actionable insights and recommendations for leadership based on sound methodological analysis - Proactively create new metrics that represent key inputs/outputs of the business - Support automation processes across the team - Lead large scale projects data and analytical projects that help More ❯

happening daily at Coalition. About the role As a Data Scientist at Coalition you will be responsible for measuring, understanding, and helping optimize Coalition's underwriting. You will perform statistical analysis to provide data-driven insights. You will help us understand and improve our cyber risk selection and reduction, pricing and automation in order to grow our revenue … in a safe and efficient manner. Responsibilities Analyze diverse datasets including claims data, cybersecurity risk signals, and underwriting databases to extract meaningful patterns and insights Large scale data analysis with the objective of producing valuable risk signals to be used for underwriting or risk evaluation of organizations Create comprehensive reports on underwriting efficiency metrics and risk selection quality to … inform strategic decisions Apply statistical techniques to evaluate and improve our cyber risk assessment methodology Provide analytical support for underwriting strategies to balance growth with risk management Deliver analysis that will directly inform the development of automated underwriting systems Collaborate cross-functionally with actuarial, product, and engineering teams to implement data-driven improvements Work alongside senior data scientists More ❯

decisions. Your work will directly support efforts to improve the employer experience, and in turn, help deliver better outcomes for our members. What you’ll do: Produce clear, actionable analysis and reporting—interpreting trends, patterns, and conducting complex statistical analysis on large, multi-source datasets. Contribute to interactive dashboards, slide decks, and data storytelling to communicate employer … drive value for the business. How you’ll do it: You’ll use, build expertise in, and be open to learning a range of analytics tools to produce robust statistical analysis. These include: R, Python, SQL, Power BI, and Google Analytics — alongside incorporating other tools such as large language models (LLMs) into data analysis and narrative building where … a better retirement for millions. The department includes: Analytics – taking data and creating value for the organisation, understanding our customer and our business; doing descriptive, predictive, and prescriptive behavioural analysis and modelling to help Nest make decisions. Data – planning and delivering how we manage high quality data as an enterprise, making it easy for BI, analysis and modelling More ❯

managers, software developers and business leaders in the industry, shaping our roadmap to drive real impact on Amazon's long-term profitability. We are an agile team, building new analysis from ground up, proposing new concepts and technology to meet business needs, and enjoy and excel at diving into data to analyze root causes and implement long-term solutions. … 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, build analytical products and cause impact across wider teams in intuitive ways. This position provides opportunities to influence high visibility/high impact areas in the organization. They are … policy/mechanism/solution to address the challenge and ability to influence folks using hard data (and some tact) then we are looking for you! Key job responsibilities • Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations • Collaborating with product and software development teams to implement analytics More ❯

data strategies to support digital marketing and development initiatives. Work closely with clients to understand their business objectives, data requirements, and challenges. Design and oversee data collection, processing, and analysis frameworks. Analyse data from multiple sources (web analytics, CRM systems, social media platforms, etc.) to identify trends, insights, and opportunities. Create detailed and visually compelling reports and dashboards to … preferably within a digital agency or similar environment. Proficiency with analytics tools such as Google Analytics, Adobe Analytics, Contentsquare and data visualisation platforms (e.g., Tableau, Power BI). Strong statistical analysis skills and experience with data processing tools (e.g., SQL, Python, R). Excellent communication and presentation skills, with the ability to convey complex data insights to non More ❯

Impact: Prioritise initiatives based on commercial value and impact, ensuring data science projects deliver measurable results. What You’ll Bring Essential Expertise Deep knowledge in AI/Machine Learning, Statistical Analysis, and Algorithm Design Strong experience in Data Lifecycle Management, Predictive Analytics, Data Governance, and Cloud Computing Proficient in Programming/Scripting (e.g., Python, R, SQL) and developing … scalable data solutions Skilled in Data Commercialisation, KPI Design, Business Analysis, and Data Model Management Strong understanding of AI Ethics and responsible data use Proven ability to translate complex data into clear business value for non-technical audiences Managerial Capabilities Experience recruiting, coaching, and retaining top data talent Skilled at creating positive, high-performance team cultures Demonstrated success in … United Kingdom 21 hours ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 hour ago Weybridge, England, United Kingdom 2 weeks ago Financial Crime Data Analysis (Assistant Manager) Business Applications/Data Reporting Analyst We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of More ❯

in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with … organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Data Scientist, you will be expected to work independently on client engagements, take part in the development 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 ❯

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 ❯

for healthcare environments. Proven experience working with EHR systems and other healthcare technologies. Research Skills Advanced expertise in qualitative research (e.g., interviews, usability testing) and quantitative research (e.g., surveys, statistical analysis). Proficiency in tools such as SPSS, R, Python, or equivalent for data analysis, and Tableau, Power BI, or similar for data visualisation. Experience with user More ❯

build our understanding of performance and customers, embedding these learnings into the Category & In-Stock 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, and by proactively identifying … data literacy and confidence. You Have: 3-5 years of experience in analytics or data science - preferably in fields related to grocery, trading, supply chain. A strong understanding of statistical analysis and experiment design. Expert skills in SQL/Python, able to write structured and efficient queries on large data sets. Experience with dbt is a strong plus. 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 ❯

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 ❯

leave Flexible/hybrid working options Comprehensive training and development opportunities Career progression in a supportive environment Skills and Experience Proven experience in data science, including machine learning and statistical analysis. Proficiency in Python, R, or similar programming languages. Strong SQL skills for data manipulation and querying. Experience with data visualisation tools such as Tableau or Power BI. Experience More ❯

Skills 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). Solid More ❯