6 of 6 Statistical Analysis Jobs in the South West

Key Responsibilities: Analyse datasets to identify patterns, trends, and actionable insights. Support the development and evaluation of machine-learning models. Assist with data cleaning, preparation, and feature engineering. Conduct statistical analysis to support business decisions. Build reports, dashboards, and visualisations for internal stakeholders. Collaborate with technical and non-technical teams to translate data into impact. Stay up to … Qualifications: Degree educated with a 2:1 or above ideally from a Redbrick university (e.g., Russell Group or equivalent) Strong programming skills in Python and R. Solid understanding of statistical analysis and quantitative methods. Foundational knowledge of machine learning techniques (classification, regression, clustering, etc.). Strong analytical mindset and attention to detail. Ability to present findings clearly to More ❯

customers, relating to data integrity, reporting accuracy, and performance insights are satisfied in a timely and efficient manner.The Data Analyst will lead and facilitate the use of various data analysis processes and tools, striving toward standardised data management and reporting practices across the business. The role supports forecasting, performance modelling, data-driven decision-making, and reporting for key business … customers and internal teams through accurate reporting, proactive analytics, and early identification of performance or process issues.Skills and Responsibilities *Support key business portfolios through the use of appropriate data analysis and problem-solving techniques to provide regular performance and trend reporting for products, services, or platforms, using data from multiple sources, with strong attention to detail and analytical rigor. … Perform statistical analysis including data categorisation, trend analysis, variance analysis, and identification of significant factors affecting business performance.*Monitor key metrics through dashboards and early warning systems to identify risks, inefficiencies, or opportunities for improvement.*Standardise data analysis and reporting methods across the business to drive simplicity, efficiency, and accuracy.*Responsible for producing, visualising, and More ❯

relating to data integrity, reporting accuracy, and performance insights are satisfied in a timely and efficient manner. The Data Analyst will lead and facilitate the use of various data analysis processes and tools, striving toward standardised data management and reporting practices across the business. The role supports forecasting, performance modelling, data-driven decision-making, and reporting for key business … and internal teams through accurate reporting, proactive analytics, and early identification of performance or process issues. Skills and Responsibilities *Support key business portfolios through the use of appropriate data analysis and problem-solving techniques to provide regular performance and trend reporting for products, services, or platforms, using data from multiple sources, with strong attention to detail and analytical rigor. … Perform statistical analysis including data categorisation, trend analysis, variance analysis, and identification of significant factors affecting business performance. *Monitor key metrics through dashboards and early warning systems to identify risks, inefficiencies, or opportunities for improvement. *Standardise data analysis and reporting methods across the business to drive simplicity, efficiency, and accuracy. *Responsible for producing, visualising, and More ❯

of a broader data architecture Exposure to Microsoft Fabric implementations, including Azure Data Factory, SSIS, or SSRS Advanced Excel skills, including pivot tables, complex formulas, and macros Familiarity with statistical analysis tools such as Python, R, or SAS is advantageous Experience with Power Platform tools, including PowerApps, Power Automate, and DAX/M languages in Power BI Previous More ❯

customers. In this placement you will be supporting projects in (but not limited to): new service introductions, resource optimisation for our Service Engineers and our Contact Centre teams, and analysis on product failures and customer issues, working with our Continuous Product Development team so that we can drive improvements in reliability and performance of our products. Throughout each of … cleaning processes for data from various sources, ensuring data integrity and quality The interpretation of results using a variety of techniques, ranging from simple data aggregation to more complex statistical analysis Identification of data quality issues and the proposal of data cleansing and enhancement solutions to ensure data is fit for purpose Interpretation of results using different analytical … and statistical techniques to identify patterns, trends, correlations, and anomalies, and extract meaningful insights Identification of Key Performance Indicators (KPIs) and development of metrics to track and measure business performance Development and maintenance of visualisations and dashboard reports to tell a focused story Following organisational data governance, including policies on data access, sharing, dissemination and protection Application of fundamental More ❯

customers. In this placement you will be supporting projects in (but not limited to): new service introductions, resource optimisation for our Service Engineers and our Contact Centre teams, and analysis on product failures and customer issues, working with our Continuous Product Development team so that we can drive improvements in reliability and performance of our products. Throughout each of … cleaning processes for data from various sources, ensuring data integrity and quality The interpretation of results using a variety of techniques, ranging from simple data aggregation to more complex statistical analysis Identification of data quality issues and the proposal of data cleansing and enhancement solutions to ensure data is fit for purpose Interpretation of results using different analytical … and statistical techniques to identify patterns, trends, correlations, and anomalies, and extract meaningful insights Identification of Key Performance Indicators (KPIs) and development of metrics to track and measure business performance Development and maintenance of visualisations and dashboard reports to tell a focused story Following organisational data governance, including policies on data access, sharing, dissemination and protection Application of fundamental More ❯