101 to 125 of 280 Statistical Analysis Jobs in the UK

be highly proficient with programming languages such as Python/R and SQL. You should also have extensive experience with data mining, mathematics, and statistical analysis, with the capability to derive actionable insights from complex data sets. ML : You should have demonstrable experience applying data science methods to … navigate challenges, and drive forward our analytics offering will be crucial for your success Preferred but not required : Familiarity with dbt and other data analysis tools would be a bonus Bonus points: Experience using cloud notebooks and AWS containerisation Experience with Streamlit Experience working in fast-paced scale ups More ❯

with a dynamic team that values innovation and success in a fast-paced environment. The Business Analyst will influence critical business decisions through data analysis and provide insights to category teams to enable action. The ideal candidate will have: A passion for numbers, data, and challenges. High attention to … NoSQL, etc. Experience with data visualization tools such as Tableau, Quicksight, or similar. Experience with data modeling, warehousing, and building ETL pipelines. Experience with statistical analysis packages like R, SAS, or Matlab. Proficiency in SQL for data extraction and scripting in Python for data processing. PREFERRED QUALIFICATIONS Experience More ❯

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 … 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 More ❯

insurance or reinsurance domain) Expertise in SQL, Python, and BI platforms like Tableau or Power BI Strong background in data warehousing, data modelling, and statistical analysis Experience with distributed computing (Hadoop, Spark) and data profiling Skilled at explaining complex technical concepts to non-technical audiences Hands-on experience More ❯

insurance or reinsurance domain) Expertise in SQL, Python, and BI platforms like Tableau or Power BI Strong background in data warehousing, data modelling, and statistical analysis Experience with distributed computing (Hadoop, Spark) and data profiling Skilled at explaining complex technical concepts to non-technical audiences Hands-on experience More ❯

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. 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 … 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 More ❯

questions using SQL, Excel, and other data manipulation languages. Maintain data integrity, perform QA Audits and diligently troubleshoot issues. Continually improve ongoing reporting and analysis processes, while automating or simplifying self-service support and access to authoritative data sets. Generate daily, weekly, and monthly data reports for both internal … 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 SQL. Experience in the data/BI space. PREFERRED QUALIFICATIONS: Master's degree, or Advanced … technical degree. Knowledge of data modeling and data pipeline design. Experience with statistical analysis, co-relation analysis. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value More ❯

platforms. • Support leadership reviews, Business Reviews, 1/3/5 Year planning exercises for the group, Manage sprint planning for basic/advance analysis requests across stakeholders. • Interfacing with multiple technology and partner teams to extract, transform, and load data from a wide variety of data sources and … ability to use a programming and/or scripting language to process data for analysis and modeling • Evolve organization wide Self-Service platforms. • Candidate should have basic understanding of a scripting language. Knows how to model data and design a data pipeline. Able to apply basic statistical methods … with multiple Tech and Business to identify strategic opportunities for data-backed insights to drive value creation. An effective communicator, the candidate crisply translates analysis result into executive-facing business terms. The candidate works aptly with internal and external teams to push the projects across the finishing line. The More ❯

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 … 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 with theory and practice of information retrieval, data science, machine learning and data mining Experience More ❯

Intelligence Engineer to drive effective performance measurement and management, innovation and execution in last mile delivery. This position will be responsible for building out analysis and visualization tools and processes' to support our growing Amazon Logistics business in Japan and Worldwide. The successful candidate will be able to effectively … by opportunity) - Analyze and visualize large scale geo-spatial logistics and transaction data to articulate user behavior or delivery process problems, and output solid analysis report with recommendation - Serve as liaison between the WW Planning and Analytics team and the operations business teams to achieve the goal of providing … 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 More ❯

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 … 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 More ❯

machine learning algorithms to inform product and business decisions. Collaborating with developers, engineers, and product teams to integrate data-driven solutions. Conducting exploratory data analysis and creating dashboards to visualize insights. Developing automated tools to process and analyze data at scale. The Hands-On Experience You'll Need: 2+ … Kubernetes, and deploying machine learning models in production. Experience with visualization tools like Tableau, Power BI, or D3.js. Understanding of A/B testing, statistical analysis, and experimental design. What You Can Expect from Our Recruitment Process: We'll start by reviewing your CV. A one-hour interview More ❯

and implementing scalable, automated infrastructure for data extraction, processing, computation, and delivery. Designing, developing, and implementing analytical models to underpin customer-facing experiences using statistical methodologies and techniques. Communicating analytical outputs to stakeholders with a focus on making clear insights, model assumptions, tradeoffs, etc. Building an expert understanding of … DynamoDB, S3, and Redshift. Experience in data mining, ETL, etc., and using databases in a business environment with large-scale, complex datasets. Experience in statistical analysis packages such as R, SAS, and Matlab. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is More ❯

questions using SQL, Excel, and other data manipulation languages. Maintain data integrity, perform QA Audits and diligently troubleshoot issues. Continually improve ongoing reporting and analysis processes, while automating or simplifying self-service support and access to authoritative data sets. Generate daily, weekly, and monthly data reports for both internal … 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 More ❯

across the NHSCFA and our wider stakeholders. The primary responsibilities will include developing, evaluating, maintaining, and managing data pipelines, processing, preparing data suitable for analysis, and developing and maintaining data models. You will support the design of analytical services, products, and models that meet the needs of NHSCFA. The … management frameworks and project management methodology. Practical implementation of CI/CD in Azure DevOps. Experience in technologies relating to Data Science, for example: statistical analysis, machine learning, or natural language processing. Experience with relational SQL and databases. Experience with Azure tech stack such as Fabric, Data Factory … and ensure work is delivered to tight deadlines utilising efficiently all available resources. Can lead, motivate, and inspire others. Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement. Excellent analytic skills associated with working on unstructured and structured datasets. Ability More ❯

e.g., Python or R) Strong analytical skills and attention to detail Highly competent user of PowerApps, SharePoint, and Microsoft Office packages Strong understanding of statistical analysis, and data visualization tools (e.g., Tableau, Power BI). Ability to present complex data clearly to non-technical stakeholders This is an More ❯

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 More ❯

experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation tools. Experience with machine learning models and statistical analysis. Preferred Skills: Familiarity with AWS and experiment design. Strong problem-solving and communication skills. What's on Offer: Join a global leader driving More ❯

to design data-driven experiments and interpret results. Use bioinformatics software and databases to uncover insights into disease mechanisms and potential therapeutic targets. Apply statistical models and computational methods to identify biomarkers, drug targets, and other key biological insights. Stay up-to-date with the latest bioinformatics techniques, software … . Solid understanding of genomics, transcriptomics, proteomics, and other omics data. Familiarity with cloud platforms (AWS, GCP, Azure) and high-performance computing. Experience with statistical analysis, machine learning, or data visualization tools (e.g., R, MATLAB, Jupyter). Strong communication skills to collaborate across teams and present findings to … both technical and non-technical stakeholders. Desirable: Experience with next-generation sequencing (NGS) data analysis and pipelines. Knowledge of molecular biology, cheminformatics, or systems biology. Familiarity with data privacy and regulatory considerations in healthcare AI. Be part of a forward-thinking team dedicated to transforming healthcare through bioinformatics. Your More ❯

devoted customer care team, we are dedicated to delivering exemplary support to both our partners and their clients. Key responsibilities: Provide real-time monitoring & analysis of brand/product performance (across all contact channels) vs forecast Making adjustments to systems, channels & work-stacks – in an effort to maximise resource … efficiency and achieve service level goals/business objectives. Provide in depth analysis on both agent and brand information through the use of Creovai and Hood Group systems Use of key systems – Creovai, Peopleware, Tableau, Awaken & Mitel to ensure increased agent productivity, schedule adherence and improved customer service. Responsible … alerts ensuring actioned within relevant timescales About you: Proven experience in customer satisfaction, sentiment, and quality assurance Strong understanding of workforce planning, real-time analysis, and data modelling Proficiency in statistical analysis and technology systems Excellent verbal and written communication skills, including experience in making presentations to More ❯

devoted customer care team, we are dedicated to delivering exemplary support to both our partners and their clients. Key responsibilities: Provide real-time monitoring & analysis of brand/product performance (across all contact channels) vs forecast Making adjustments to systems, channels & work-stacks – in an effort to maximise resource … efficiency and achieve service level goals/business objectives. Provide in depth analysis on both agent and brand information through the use of Creovai and Hood Group systems Use of key systems – Creovai, Peopleware, Tableau, Awaken & Mitel to ensure increased agent productivity, schedule adherence and improved customer service. Responsible … alerts ensuring actioned within relevant timescales About you: Proven experience in customer satisfaction, sentiment, and quality assurance Strong understanding of workforce planning, real-time analysis, and data modelling Proficiency in statistical analysis and technology systems Excellent verbal and written communication skills, including experience in making presentations to More ❯

Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating More ❯

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. … 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 … 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 More ❯

have: An ability to apply logical, analytical, and innovative thinking on a range of technical problems. A proven ability to apply pre-processing techniques, statistical analysis, linear regression, and time-series analysis to industrial data. Preferable experience in Python Ability to visualise data appropriately and in a More ❯

BASIC QUALIFICATIONS 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 More ❯