26 to 50 of 145 Statistical Analysis Jobs in London

ensure alignment on metrics, data definitions, and reporting standards • Act as subject matter expert, promoting data-driven culture within sales finance organization Urgency & Priority Areas • Conduct in-depth financial analysis of sales performance across multiple dimensions (revenue, pipeline, productivity) to identify urgent trends and root causes • Deploy scalable automation solutions using AWS or Python scripting to address immediate process … 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 ❯

data visualisation platforms (e.g. Power BI, Looker) and also using AI tools and D3.js) • Strong programming skills in relevant languages (Python, DAX, SQL) with experience in data manipulation and statistical analysis • Solid understanding of data architecture principles and cloud-based analytics platforms • Knowledge of web technologies (HTML, CSS, React/Vue) for custom visualisation development Design & User Experience More ❯

data visualisation platforms (e.g. Power BI, Looker) and also using AI tools and D3.js) • Strong programming skills in relevant languages (Python, DAX, SQL) with experience in data manipulation and statistical analysis • Solid understanding of data architecture principles and cloud-based analytics platforms • Knowledge of web technologies (HTML, CSS, React/Vue) for custom visualisation development Design & User Experience More ❯

collaborating with leading brands to access consumer behavioural data previously unavailable. The Role Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources for analysis. Statistical Analysis: Use econometric techniques like regression, time series, and panel data analysis to explore relationships between media spend and outcomes. Model Validation and Interpretation: Evaluate model accuracy … and budget optimization. Advanced Analytics: Explore machine learning techniques to enhance insights and model accuracy. Your Experience and Skills Data Science: Proficiency in Python, R, SQL, including data manipulation, statistical modeling, and visualization. Econometrics: Experience with regression, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and KPIs. Communication More ❯

building required data model, acquiring new data sources and building comprehensive data visualizations for key stakeholders. You will mine data, identify data co-relation across different functional areas, run statistical analysis, gather insights and make recommendations based on your findings to help senior leaders make key business decisions. Data analysis is at the core Amazon's culture … military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science More ❯

business units for the creation of harmonized reports. Develop ideas to improve survey response rates and test new approaches. Find the best ways to visualize metrics and analyze the statistical link between marketing measures and financial performance. ABOUT THE ROLE: Manage the rollout of the VoC programme across countries and business units. Be the expert in the Forsta VoC … Collaborate with IT to extract customer data from CRM for surveys. Develop live dashboards to monitor scores in real-time and implement alert systems for low scores. Perform insightful analysis, including building text analytics models. Present results to stakeholders at all levels, tailoring content as needed. Build feedback mechanisms to ensure feedback is acted upon locally and at the … or relevant field. Minimum 5 years experience in Customer Experience or VoC roles. Healthcare/Pharma or B2B experience preferred. Expert in VoC tools (Qualtrics, Forsta). Strong data analysis and report creation skills using multiple data sources. CCXP certification is a plus. Project management experience. Proficient in data science techniques, including statistical analysis, text analytics, and More ❯

and Emerging Countries (BR, MX, MENA, SG, AU). The UPx and Placement BI team build up and monitor critical metrics across supply chain flow, and conducts advanced data analysis to identify system algorithm improvement opportunities. This team has worked with both local business team and multiple SCOT teams for years to bring data visibility, automate data solutions with … to key metrics on UPB, UPPD, instock rate, transfer volume etc. 2) Translating business questions and concerns into specific analytical questions that can be answered with available data using Statistical methods. 3) Simulations and modeling with internal or external tools to study complex supply chain use cases on inventory placement and order fulfillment 4) Metrics related deep dive, call … 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 ❯

of reports in SQL • Charting and graphing of data for reporting purposes • Developing dashboard (Amazon Quicksight) to support business decision making and dive deep activities • Develop automation solution for analysis (python) • Prepare and publish reports for business reviews (Weekly Business Review, Quarterly Business Review, Project Updates) • Supporting leadership team how to interpret data trends as needed • In depth research … of defect trends • Data collection and entry as needed • Present analysis in easily digestible standard reports • Support to ICQA & Learning Team Projects BASIC QUALIFICATIONS UAE National with a family book • 3+ years experience in data warehousing with demonstrated expertise in ETL processes and data modeling • Strong command of SQL (including complex joins, stored procedures, and query optimization) • Proven experience … with at least one major BI platform (prefer QuickSight) including dashboard creation and maintenance • Proficiency in Python, particularly with data analysis libraries (pandas, numpy, scikit-learn) • Experience automating data collection and reporting processes • Demonstrated ability to translate business requirements into technical solutions PREFERRED QUALIFICATIONS • Experience with cloud platforms (AWS) • Proficiency in statistical analysis and A/B More ❯

business functionality. As a Data Product Developer, you'll play a crucial role in shaping our data-driven solutions. This position can be considered "Full Stack", combining Data Science analysis with engineering solutions for final product delivery to our clients. We're looking for someone with a positive, entrepreneurial mindset who can collaborate effectively with cross-functional teams to … build innovative data products and seamlessly integrate AI capabilities into our existing business functionality. The role entails: Data Analysis: Dive into complex datasets, extracting meaningful insights, and identifying patterns. Collaborate with stakeholders to understand business requirements and translate them into actionable data strategies. Python Coding: Write efficient, maintainable code for processing and transforming data. Collaborate with data engineers to … large datasets from various sources to uncover insights and patterns. Collaborate with cross-functional teams to understand business objectives and translate them into new data products Perform data mining, statistical analysis, and predictive modelling to drive business decisions. Build data architecture and pipelines to support data products Build predictive models for various business applications (e.g., Research Pricing, recommendation More ❯

of insights and recommendations. - Extract, transform, and load data from many data sources using SQL, Scripting and other ETL tools. - Design, build, and maintain automated reporting, dashboards, and ongoing analysis to enable data driven decisions across our team and with partner teams. - Report key insight trends using statistical rigor to simplify and inform the larger team of noteworthy … tools - Experience writing complex SQL queries - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience in Statistical Analysis packages such as R, SAS and Matlab PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and More ❯

Customer Experience problems while partnering with research scientists, software developers, and business leaders. With the focus on driving real impact on Amazon's long-term profitability, we build new analysis from ground up, proposing new concepts and technology to meet business needs. We need strong BIEs who enjoy and excel at diving into data, analyzing root causes, defining long … 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 product team you have the opportunity to participate and shape product … constructively critique peer research, extract and manipulate data across various data marts, and align research focuses on Amazon's strategic needs. A day in the life • Perform complex data analysis (correlations, regressions, simulations, optimization, etc.) and identify improvement opportunities on key customer experience metrics (sales, speed perception, Prime benefits, reduce ship costs, etc.). • Own end-to-end program More ❯

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

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

identify operational challenges, conduct deep-dive analyses, and deliver data-driven recommendations that support strategic decision-making and network improvements. • Create What if Scenarios on forecasting simulations and cost analysis BASIC QUALIFICATIONS - Experience in analyzing 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 modeling - Experience with SQL - Experience in the data/BI space PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift More ❯

communicate and drive corrective action. Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations Apply Statistical and Machine Learning methods to specific business problems Partner with Machine Learning team in Model Building w.r.t. variable definition, model validation and creation of a targeting strategy Own the … 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 ❯

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and … a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data … manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical More ❯

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and … a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data … manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical More ❯

FOR? The Cloud and Data Engineering team is looking for data scientists who are passionate about enabling the next generation of automotive software development. Our data science engineers employ statistical modelling and measurement frameworks to model the distribution of road events in the real world, and inform our long-term validation and ML training data strategy. They embed within … data challenges, such as developing evaluation frameworks for AD/ADAS deployment readiness and the fidelity of simulation. The right candidate will have excellent communication skills, experience in using statistical methods in an applied setting and in developing metrics and evaluation frameworks, as well as familiarity with Machine Learning systems. RESPONSIBILITIES Use statistical modeling to shape the our … strategy for data acquisition (real and synthetic), validation and ML training Develop metrics and frameworks to understand the distribution and diversity of data Tackle ambiguous problems using data-driven analysis, and provide actionable insights to inform decision making and demonstrate business impact Communicate findings on complex technical topics to stakeholders across engineering leadership and product Embed with engineering teams More ❯

to understand relationships between metrics, surface insights, and implement new data models Three or more (3+) years of working cross functionally with tech and non-tech teams experience Use statistical models with large, multidimensional datasets to uncover trends, patterns, and opportunities Identify and recommend opportunities to automate processes Perform ad hoc analysis to quickly solve time-sensitive operational … issues Clearly communicate discrepancies and findings, including root cause analysis and resolution steps to a broad user base A day in the life In a typical day, a BAC Business Intelligence Engineer might work to establish new metrics for security operations, analyze trends in security data, or develop dashboards for tracking key performance indicators. You'll prototype solutions for … 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 ❯

growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. **Please note: Unfortunately, this role does More ❯

analysing large data sets Experience with analytics tools (Google Analytics, Content square, Firebase or Appsflyer) Experience with data visualisation tools (Tableau, Looker) Proficiency in A/B testing, cohort analysis, and statistical analysis. Excellent communication skills, translating complex data into actionable insights. Experience in implementing tracking via GTM in Google Analytics 💬 The vibe This company genuinely cares about More ❯

analysing large data sets Experience with analytics tools (Google Analytics, Content square, Firebase or Appsflyer) Experience with data visualisation tools (Tableau, Looker) Proficiency in A/B testing, cohort analysis, and statistical analysis. Excellent communication skills, translating complex data into actionable insights. Experience in implementing tracking via GTM in Google Analytics 💬 The vibe This company genuinely cares about More ❯

AI. Craft Compelling Narratives: Develop engaging presentations and board papers that articulate complex insights in a clear and compelling manner, guiding senior client leadership in decision-making. Conduct Data Analysis: Analyse data sets to derive meaningful insights that support strategic decision-making for clients, utilising data visualisation tools and techniques to present findings effectively. Lead Impactful Discussions: Facilitate workshops … Collaboration and Data & AI Tools: Demonstrate knowledge of storytelling tools, collaboration tools to support workshops as well and foundational data and AI tools, such as data visualization and basic statistical analysis tools, to support client engagements and project deliverables. Stakeholder Management Skills: Proven ability to engage effectively with senior management and stakeholders, fostering strong relationships and facilitating productive … ensuring alignment with organizational objectives and fostering a Data & AI-driven culture. Business Cases: Crafting business cases that articulate the ROI of Data and AI initiatives, supported by market analysis and stakeholder insights. Data & AI Product Design: Creating user-centric data products and AI solutions that facilitate informed decision-making, including dashboards and analytical tools. What’s in it More ❯

AI. Craft Compelling Narratives: Develop engaging presentations and board papers that articulate complex insights in a clear and compelling manner, guiding senior client leadership in decision-making. Conduct Data Analysis: Analyse data sets to derive meaningful insights that support strategic decision-making for clients, utilising data visualisation tools and techniques to present findings effectively. Lead Impactful Discussions: Facilitate workshops … Collaboration and Data & AI Tools: Demonstrate knowledge of storytelling tools, collaboration tools to support workshops as well and foundational data and AI tools, such as data visualization and basic statistical analysis tools, to support client engagements and project deliverables. Stakeholder Management Skills: Proven ability to engage effectively with senior management and stakeholders, fostering strong relationships and facilitating productive … ensuring alignment with organizational objectives and fostering a Data & AI-driven culture. Business Cases: Crafting business cases that articulate the ROI of Data and AI initiatives, supported by market analysis and stakeholder insights. Data & AI Product Design: Creating user-centric data products and AI solutions that facilitate informed decision-making, including dashboards and analytical tools. What’s in it More ❯

managing P&L responsibility, and driving commercial growth through data science initiatives. Experience in business development, client management, and strategic partnerships. ● Technical Proficiency: Deep understanding of data science methodologies, statistical analysis, machine learning algorithms, and analytics platforms (Python, SQL, vector stores and graphs, Power BI, Looker). Experience with commercial analytics tools and customer data platforms. ● Client Engagement More ❯