101 to 125 of 375 Statistical Analysis Jobs

solve real-world problems for some of the world's leading retailers and CPG brands. This is a hands-on role that combines technical analysis with commercial thinking and clear communication. You’ll work closely with colleagues across Client Analytics, Engineering and the wider business, as well as directly … with client teams. You’ll also spend time in client markets and locations, validating your analysis and building a deeper understanding of the operational context behind the data. What you'll be doing Conducting complex data analysis to identify trends, opportunities and areas for improvement. Using statistical ...

about our company wide benefits and life at GSK we would suggest looking at our webpage Life at GSK | GSK .SkillsBusiness Data Mining, Data Analysis, Data Analysis Tools, Data Mining, Data Modeling, Data Storytelling, SQL Databases, Statistical Analysis, Structured Query Language (SQL)• If you are based ...

quite flexible as a team and meet in person as needed for meetings and team collaboration. We are passionate about delivering high-quality analysis and insight, using data and evidence to support decision-making, reduce health inequalities and improve the health and wellbeing of Surrey's residents. Our Offer … order to be considered for shortlisting, your application will clearly evidence the following skills, experience and align with our behaviours: Experience of using statistical and epidemiological methods for analysing data sets Experience of working with multiple sets of health-related data Experience of using analytics as evidence within assessments ...

aligned with Army training objectives. Design and deliver clear, meaningful visualisations and reports that support operational decision-making. Explore and analyse through use of statistical tools and techniques data to identify patterns, relationships and trends to inform further development. Collaborate with data architects and engineers to ensure analytical outputs … data architectures by contributing analytical requirements and feedback. Communicate analytical findings clearly to non-technical stakeholders to inform strategy and operational improvements. Conduct exploratory analysis and limited prototyping to evaluate emerging data techniques relevant to training analytics. Ensure analytics processes comply with security, governance, and regulatory requirements. Author ...

applications leveraging LLMs, retrieval systems and agentic workflows. Evaluate emerging AI technologies and recommend practical applications across the organisation. Data Science & Analytics Perform advanced statistical analysis and modelling across large‐scale operational and engineering datasets. Develop feature engineering, experimentation and model evaluation frameworks. Create insights and recommendations that … making. WHAT YOU'LL BRING Essential Experience Demonstrable experience delivering machine learning or AI solutions within a large‐scale enterprise environment. Strong experience applying statistical modelling, predictive analytics and experimentation techniques. Experience working with structured and unstructured data at scale. Proven ability to translate business problems into measurable analytical ...

scientists supporting the industrialisation of Li-ion batteries and cells. Reporting to the Head of Product Engineering this position will support the capture and analysis of data generated from the production and test of UKBIC baseline and customer products. The purpose of this role is to deliver data insights … analytical workflows. The successful candidate will help shape the evolution of Insights Hub from foundational time-series data visualisation and reporting through to advanced statistical analysis, modelling, machine learning and predictive analytics capabilities. The analytics capability is expected to evolve in stages, beginning with establishing access to manufacturing ...

units. This role will focus on gathering, analysing, and synthesising customer data from multiple sources to inform brand messaging, campaign strategies, audience targeting, trend analysis, and product development. The successful candidate will champion data-driven decision-making, translating complex insights into clear, actionable recommendations that empower stakeholders to make … informed, customer-focused decisions. Customer Insights and Data Analysis Collect and integrate data from multiple sources, including customer behaviour, sales data, market trends, social media, and feedback channels, to build a comprehensive understanding of Footasylum’s customers. Conduct in-depth analysis to identify customer preferences, behaviours, and trends ...

efficient, optimised and scalable reports and visualisations. Ability to design dashboards that clearly communicate complex data and insights to a range of stakeholders. Data Analysis & Synthesis Strong experience integrating multiple data sources into a conformed data model for analysis. Proficiency in SQL, Python, Power Query and M . Experience … data cleansing, transformation and preparation for reporting and analysis. Proven experience applying a broad range of statistical techniques to support data-driven decision-making. Strong understanding of averages, standard deviation, correlation, regression and statistical significance testing . Ability to interpret statistical results and communicate findings clearly ...

applications leveraging LLMs, retrieval systems and agentic workflows. Evaluate emerging AI technologies and recommend practical applications across the organisation. Data Science & AnalyticsPerform advanced statistical analysis and modelling across large-scale operational and engineering datasets. Develop feature engineering, experimentation and model evaluation frameworks. Create insights and recommendations that drive … decision making. WHAT YOU'LL BRING:Essential ExperienceDemonstrable experience delivering machine learning or AI solutions within a large-scale enterprise environment. Strong experience applying statistical modelling, predictive analytics and experimentation techniques. Experience working with structured and unstructured data at scale. Proven ability to translate business problems into measurable analytical ...

secondment must be obtained from your current line manager prior to submitting an application. Job overview PenGU Bioinformatics is the software development and analysis support arm of the Microbiology Division. It supports genomic diagnostics, bespoke software development, genomic surveillance of communicable disease and infections in Wales, and provides … equivalent experience Post graduate qualification in public health, epidemiology, bioinformatics statistics or related subject or equivalent experience Post graduate experience of scientific or information analysis work Experience of working with large or complex data sets Experience of project based working Experience of producing written reports for publication and working ...

quite flexible as a team and meet in person as needed for meetings and team collaboration. We are passionate about delivering high-quality analysis and insight, using data and evidence to support decision-making, reduce health inequalities and improve the health and wellbeing of Surrey's residents. Our Offer … order to be considered for shortlisting, your application will clearly evidence the following skills, experience and align with our behaviours: Experience of using statistical and epidemiological methods for analysing data sets Experience of working with multiple sets of health-related data Experience of using analytics as evidence within assessments ...

highly talented team within the sports trading industry in central London. You will work with large and complex datasets, developing quantitative models and using statistical analysis to identify patterns, trends and opportunities within sports data. Working closely with experienced analysts, developers and trading teams, you will play … their career within a fast‐paced sports trading environment. Key Responsibilities Analyse and interpret large and complex sports datasets. Develop and improve mathematical and statistical models. Apply probability and statistical techniques to sports data. Identify patterns, trends and opportunities within large datasets. Work closely with analysts, developers ...

more data-led approach to decision-making across the business. Move quickly from idea to insight, testing hypotheses and delivering clear recommendations. Support analysis including customer segmentation, predictive modelling, cohort analysis and customer lifetime value modelling. Look for new ways to use data to solve real commercial problems. … such as BigQuery. Experience with BI platforms such as Power BI, Looker, Superset, Preset or Qlik. Experience using Python alongside SQL. An understanding of statistical analysis and machine learning techniques. Experience working with business stakeholders and translating commercial questions into data solutions. The ability to explain technical concepts ...

involved in the following: Analyse end-to-end customer and user journeys to identify adoption trends, engagement drivers, and opportunities for growth. Conduct exploratory analysis to uncover product usage patterns, conversion drop-offs, and areas for optimisation. Build predictive models focused on areas such as customer churn, engagement scoring … Advanced Analytics environments. Advanced SQL skills with experience querying complex cloud-based data warehouses, ideally including Snowflake. Expertise in Python or R for statistical analysis, machine learning, and predictive modelling. Experience analysing customer journeys, retention, lifecycle metrics, and behavioural data. Ability to communicate technical findings clearly to both ...

across workflows. Partner with Product, Engineering, and Data teams to embed quality-by-design principles into ingestion, transformation, and delivery pipelines. Perform data profiling, statistical analysis, and root cause investigations to validate approaches and recommend improvements. Lead initiatives to modernize workflows—advocating for automation, AI/ML-enabled … complex findings clearly to both technical and non-technical audiencesStrong coding skills in Python (e.g. OOP, PySpark, Pandas, NumPy, etc) and experience with SQLStrong statistical & analytical skills (e.g. sampling methods), attention to detail, and a proactive empirical mindsetFamiliarity with data modelling & modern data tech stack tools such as Airflow ...

purpose, and work with Product Directors/VPs to advocate for insights-driven decision-making. What you'll need to succeed Proficiency in statistical analysis, data modeling, and data visualization. Ability to interpret complex data sets and translate findings into actionable insights. Experience with data analysis, data … requiring constant guidance. Understanding of business strategy and how data-driven insights can support and enhance product and business goals. Ability to align data analysis with business objectives. You’ll need to have a prior experience as a data analyst and to hold a business or engineering degree. What ...

quality standards, governance practices, and reporting best practices. Partner with leadership teams to define key performance indicators (KPIs) and operational metrics. Support root cause analysis activities by combining telemetry, operational, and business data sources. Contribute to continuous improvement initiatives by identifying automation opportunities and reducing manual reporting processes. Document … Data Lake, or related cloud data technologies. Experience creating executive dashboards and operational reporting solutions. Knowledge of machine learning, anomaly detection, predictive analytics, or statistical analysis techniques. Experience working with large-scale telemetry, operational, or IoT datasets. Familiarity with DevOps practices, CI/CD pipelines, and GitHub Actions. ...

applications. Predictive and descriptive analytics. Data visualization and storytelling. Business Intelligence platforms (Power BI, Tableau, etc.). Data warehousing and modern analytics architectures. Statistical analysis and forecasting techniques. Cloud‐based analytics platforms. Critical Skills Executive presence and influencing skills. Strategic thinking. Stakeholder management. Business case development. Facilitation ...

concepts and applications Predictive and descriptive analytics Data visualization and storytelling Business Intelligence platforms (Power BI, Tableau, etc.) Data warehousing and modern analytics architectures Statistical analysis and forecasting techniques Cloud-based analytics platforms Critical Skills Business & Consulting Skills Executive presence and influencing skills Strategic thinking Stakeholder management Business ...

This is an ideal role for someone early in their career who is eager to develop their skills in infectious disease genomics, microbial sequence analysis and reproducible computational biology, while seeing their work contribute to products with real-world clinical impact. The role will involve working with a range … metagenomic data. You will work closely with wet lab scientists to apply analytical approaches such as microbial profiling, taxonomic classification, and antimicrobial resistance analysis to experimental data and interpret the results. We are particularly interested in candidates who have practical exposure to metagenomic methods and are keen to deepen ...

summary PenGU Bioinformaticsis thesoftware development and analysis supportarm of theMicrobiologyDivision. Itsupports genomic diagnostics, bespoke software development, genomicsurveillance of communicable disease and infections in Wales,andprovides support forHealth Protection Teamsin outbreak investigation and control, provides health intelligence on communicable diseasemattersand carries out applied research.Bioinformatics activity covers5 subjectareas: 1. Antimicrobial resistance … equivalent experience Post graduate qualification in public health, epidemiology, bioinformatics statistics or related subject or equivalent experience Post graduate experience of scientific or information analysis work Experience of working with large or complex data sets Experience of project based working Experience of producing written reports for publication and working ...

technology to enhance decision-making, client experiences, and business performance. The successful candidate will champion data-driven decision making and AI adoption. Marketing Performance Analysis Analyse the performance of digital marketing activities across paid media, email marketing, social media, SEO and website activity. Identify trends, opportunities and areas … optimisation through detailed analysis of campaign and customer data. Business Intelligence & Reporting Design, develop, and maintain interactive dashboards using Microsoft Power BI. Create automated reports that improve visibility of marketing performance and reduce manual reporting. Ensure the accuracy and integrity of marketing data. Data Management and Automation Support integration ...

technology and data analytics business, is looking for a Senior Quantitative Specialist to join its research and development team. This role focuses on developing statistical football models, analysing complex datasets, and building automated betting and performance analysis solutions. Key Responsibilities Develop and enhance football modelling and statistical analysis systems Acquire, clean, and process data from multiple sources Analyse trends and patterns within complex datasets Build automation and data processing tools Support back-testing, simulations, and performance analysis Identify opportunities for process and model improvements Collaborate closely with data scientists and software engineers Requirements Commercial ...

accurate, reliable and ready for analysis. Exploring data to identify patterns, trends, outliers and opportunities that can support stronger commercial and operational decisions. Applying statistical and machine learning techniques to build predictive and prescriptive models, test hypotheses and solve real business problems. Using Python, PySpark and SQL to analyse … understand business needs and translate them into data-led solutions. Presenting actionable insights and recommendations to technical and non-technical stakeholders, helping teams turn analysis into commercial value. Exploring cutting-edge AI methodologies responsibly and identifying opportunities to improve processes, products and decision-making. Contributing to timely project delivery ...

will develop skills in: Leadership and management Project and change management Health and social care systems Research, evaluation and study design Advanced data analysis Communicating intelligence and insight effectively. Are you eligible? The programme is suitable for junior level staff with no more than 3 years of experience … those who hold a public health degree or are educated higher than a master's degree level. Learners will need to have studied a statistical module at university or have a willingness to learn and ability to apply stats in a project. Your application In order to be considered ...