1 to 25 of 59 Statistical Analysis Jobs in the UK excluding London

enhance value-added services for third-party clients. You: You’ll be Degree Educated in a quant field You’ll have solid SQL and Python – these are non-negotiables Statistical Analysis experience of large data sets You’ll have 2 years PLUS Analytics experience, ideally in Insight, Risk or ideally in some sort of Collections/Recoveries function … checked. You’ll need to be able to pass a UK Credit and DBS check. Keywords: Data Science, Analyst, Senior Analyst, SQL, Python, Analyst, Data Analyst, Collections Analyst, Forecasting, Statistical Analysis, MI, Modelling, Analyst, Dat Science, Collections Analyst More ❯

enhance value-added services for third-party clients. You: You’ll be Degree Educated in a quant field You’ll have solid SQL and Python – these are non-negotiables Statistical Analysis experience of large data sets You’ll have 2 years PLUS Analytics experience, ideally in Insight, Risk or ideally in some sort of Collections/Recoveries function … checked. You’ll need to be able to pass a UK Credit and DBS check. Keywords: Data Science, Analyst, Senior Analyst, SQL, Python, Analyst, Data Analyst, Collections Analyst, Forecasting, Statistical Analysis, MI, Modelling, Analyst, Dat Science, Collections Analyst More ❯

enhance value-added services for third-party clients. You: You’ll be Degree Educated in a quant field You’ll have solid SQL and Python – these are non-negotiables Statistical Analysis experience of large data sets You’ll have 2 years PLUS Analytics experience, ideally in Insight, Risk or ideally in some sort of Collections/Recoveries function … checked. You’ll need to be able to pass a UK Credit and DBS check. Keywords: Data Science, Analyst, Senior Analyst, SQL, Python, Analyst, Data Analyst, Collections Analyst, Forecasting, Statistical Analysis, MI, Modelling, Analyst, Dat Science, Collections Analyst More ❯

Wealth Fund, is looking to hire a Manager into their Factor & Index Equities team, to focus on Quantitative Research specialising on Factor & Index strategies Responsibilities: Conduct quantitative research and analysis to develop financial models and identify investment opportunities Perform statistical analysis on financial data to identify trends, correlations, and patterns that will provide actionable insights for investment … strategies Prepare, analyse, and interpret advanced quantitative and statistical analysis such as factor and style reports Requirements: 12+ years' of experience in Quantitative Research/Strategies, preferably from a Global Asset Manager or Institutional Investors such as Pension Funds, SWFs or Endowments Programming skills: Python for quantitative analysis and modelling More ❯

Wealth Fund, is looking to hire a Manager into their Factor & Index Equities team, to focus on Quantitative Research specialising on Factor & Index strategies Responsibilities: Conduct quantitative research and analysis to develop financial models and identify investment opportunities Perform statistical analysis on financial data to identify trends, correlations, and patterns that will provide actionable insights for investment … strategies Prepare, analyse, and interpret advanced quantitative and statistical analysis such as factor and style reports Requirements: 12+ years' of experience in Quantitative Research/Strategies, preferably from a Global Asset Manager or Institutional Investors such as Pension Funds, SWFs or Endowments Programming skills: Python for quantitative analysis and modelling More ❯

Wealth Fund, is looking to hire a Manager into their Factor & Index Equities team, to focus on Quantitative Research specialising on Factor & Index strategies Responsibilities: Conduct quantitative research and analysis to develop financial models and identify investment opportunities Perform statistical analysis on financial data to identify trends, correlations, and patterns that will provide actionable insights for investment … strategies Prepare, analyse, and interpret advanced quantitative and statistical analysis such as factor and style reports Requirements: 12+ years' of experience in Quantitative Research/Strategies, preferably from a Global Asset Manager or Institutional Investors such as Pension Funds, SWFs or Endowments Programming skills: Python for quantitative analysis and modelling More ❯

the People Data and Workforce Data Strategy ensuring high-quality people data and reporting that supports strategic people initiatives and workforce insights. Accountabilities Responsible for the delivery of data analysis and insights that support business goals. Ensure the accuracy and integrity of all People and Workforce data reporting and analytics. Collaborate with cross-functional teams to align data analysis with business needs. Develop and implement best practices for data analysis and visualisation. Drive the automation of data processes within People and Culture to improve efficiency. Manage resourcing, tools and capabilities required to ensure timely and accurate data reporting. Promote a data-driven culture across Arqiva and across all People related activity, advocating for the use of data … for People Data security review practices including routine user access reviews to ensure only the right people have access to the right data at the right time Skills Data Analysis - Ability to manipulate and analyse data, and make informed decisions Data Analysis & Visualisation Tools - Proficiency with data analysis and visualisation tools e.g. Python, R, SQL, Power BI 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 ❯

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 ❯

responsibility will be to support the business by contributing actionable insights that inform strategic decision-making. In this role, you will assist in data collection, data cleansing and validation, analysis and reporting by working closely with your colleagues in the data team and other departments to understand their data needs and deliver actionable insights that align with RCI Group … Take ownership of existing mandatory reporting. Develop our wider dashboarding efforts across the group. Assist in the collection, cleaning, and preprocessing of data within the Data Lake for further analysis and modelling. Automate and streamline tasks, both within the team and across the wider business. Support the development and implementation of data analysis models and algorithms to drive … business solutions and strategic insights. Collaborate with business stakeholders to identify opportunities for leveraging company data to drive business solutions. Conduct exploratory data analysis to identify trends, patterns, and insights. Present data findings to non-technical stakeholders in a clear and impactful manner, translating data insights into actionable business recommendations. Stay abreast of emerging technologies and methodologies in data More ❯

responsibility will be to support the business by contributing actionable insights that inform strategic decision-making. In this role, you will assist in data collection, data cleansing and validation, analysis and reporting by working closely with your colleagues in the data team and other departments to understand their data needs and deliver actionable insights that align with RCI Group … Take ownership of existing mandatory reporting. Develop our wider dashboarding efforts across the group. Assist in the collection, cleaning, and preprocessing of data within the Data Lake for further analysis and modelling. Automate and streamline tasks, both within the team and across the wider business. Support the development and implementation of data analysis models and algorithms to drive … business solutions and strategic insights. Collaborate with business stakeholders to identify opportunities for leveraging company data to drive business solutions. Conduct exploratory data analysis to identify trends, patterns, and insights. Present data findings to non-technical stakeholders in a clear and impactful manner, translating data insights into actionable business recommendations. Stay abreast of emerging technologies and methodologies in data More ❯

responsibility will be to support the business by contributing actionable insights that inform strategic decision-making. In this role, you will assist in data collection, data cleansing and validation, analysis and reporting by working closely with your colleagues in the data team and other departments to understand their data needs and deliver actionable insights that align with RCI Group … Take ownership of existing mandatory reporting. Develop our wider dashboarding efforts across the group. Assist in the collection, cleaning, and preprocessing of data within the Data Lake for further analysis and modelling. Automate and streamline tasks, both within the team and across the wider business. Support the development and implementation of data analysis models and algorithms to drive … business solutions and strategic insights. Collaborate with business stakeholders to identify opportunities for leveraging company data to drive business solutions. Conduct exploratory data analysis to identify trends, patterns, and insights. Present data findings to non-technical stakeholders in a clear and impactful manner, translating data insights into actionable business recommendations. Stay abreast of emerging technologies and methodologies in data More ❯

robust data engineering and AI solutions that power advanced analytics and AI initiatives across the Trust and beyond. This position requires strong technical capability in SQL, data pipeline architecture, statistical analysis, machine learning, and predictive analytics, combined with a sound understanding of clinical and operational environments. The Clinical Data Engineer will be responsible for developing high-quality health More ❯

build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve … analytics, preferably in a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills … to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects The i Paper - POLARIS Dashboard build and automation, including the setting of the KPI's - which we settled on using the More ❯

build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve … analytics, preferably in a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills … to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects The i Paper - POLARIS Dashboard build and automation, including the setting of the KPI's - which we settled on using the More ❯

build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve … analytics, preferably in a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills … to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects The i Paper - POLARIS Dashboard build and automation, including the setting of the KPI's - which we settled on using the More ❯

of autonomy and minimal supervision. Proactively identify, initiate, and manage tasks and projects. Utilize SQL for querying databases to retrieve and manipulate data. Employ Excel skills for data cleaning, analysis, creating formulas, and generating visualizations, including pivot tables. Use data visualization tools like Power BI (desirable but not essential) and programming languages like Python or R for data manipulation … statistical analysis, and visualization. Communicate findings and insights effectively to both technical and non-technical team members. Required Skills & Qualifications: Technical Skills: Strong SQL skills for database management. Proficiency in Excel including pivot tables. Familiarity with data visualization tools like Power BI. Knowledge of programming languages such as Python or R is highly beneficial. Analytical & Cognitive Skills: Critical … to evaluate data, identify patterns, and think logically. Problem-solving: Skill in addressing complex data issues and proposing actionable solutions. Attention to detail: Crucial for ensuring accuracy in data analysis and reporting. Soft Skills: Excellent communication skills to convey findings clearly. Effective teamwork capabilities, suitable for remote collaboration. Independence in managing tasks and workload. Qualifications & Experience: A degree in More ❯

Parties/Customer) to improve performance, budget efficiency, and ROI. Track key customer KPIs and support acquisition and retention strategies through A/B testing and data insights. Conduct statistical analysis to identify trends, patterns, and outliers that inform strategic decisions. Present complex data in clear, actionable formats for various stakeholders. Build and maintain dashboards and reports using … technical insights to non-technical audiences effectively (Essential) Detail-oriented and process-driven with a focus on continuous improvement (Essential) Comfortable working in a fast-paced, evolving environment (Essential) Statistical Methods Knowledge (Desirable) Experience using Salesforce and data visualisation tools (Desirable) Job Offer Competitive salary range of £35,000 to £45,000 per annum. Comprehensive pension scheme to support More ❯

seeking a highly skilled and detail-oriented Analyst with experience in Excel, Power BI, SQL, and Python. The ideal candidate will have a strong background in strategy building, site analysis, and business intelligence, helping us derive actionable insights to drive strategic decisions and optimise our pricing/wetstock models. This role also requires strong business partnering skills, as the … clear, actionable insights on fuel performance and market trends. Use SQL and Python for data extraction, processing, automation, and advanced analytics to enhance pricing competitiveness. Conduct site and market analysis to determine optimal pricing strategies and improve profitability. Collaborate with cross-functional teams and stakeholders to align analytical solutions and pricing strategies with overall business goals. Monitor fuel levels … looking for: Bachelor's degree in business, Data Analytics, Logistics, or a related field (or equivalent experience). Proven experience in an analytical role, such as strategy development, market analysis, or business performance. Strong proficiency in Power BI (or similar BI tools) for building dashboards, reports, and data models. Advanced Excel skills, including pivot tables, macros, and complex formulas. More ❯

of a Senior Performance Analyst and work within a multi-disciplinary team. Key Responsibilities: Lead the development of performance measurement frameworks and meaningful KPIs. Apply quantitative and qualitative data analysis to drive service improvement. Work closely with stakeholders, user researchers, and service teams to deliver actionable insights. Communicate analysis clearly using appropriate formats and tailored messaging for varied … cleansing of data. Use Power BI, Google Analytics, Looker Studio, and Azure Data Services to build dashboards and performance reports. Leverage BigQuery and Google Tag Manager for advanced data analysis, tracking, and reporting. Ensure compliance with digital service standards and accessibility principles. Essential Skills and Experience: Demonstrated 5+ years of experience working within performance analysis or similar roles. … Strong technical capability in: Microsoft Power BI Microsoft Azure Data Services Google Analytics, Google Tag Manager, BigQuery, Looker Studio Statistical analysis, hypothesis testing, and significance evaluation Experience in designing and implementing performance frameworks and KPIs. Skilled in user-centred analysis, translating user research and behaviour into strategic insight. Excellent communication skills with the ability to present complex More ❯

of a Senior Performance Analyst and work within a multi-disciplinary team. Key Responsibilities: Lead the development of performance measurement frameworks and meaningful KPIs. Apply quantitative and qualitative data analysis to drive service improvement. Work closely with stakeholders, user researchers, and service teams to deliver actionable insights. Communicate analysis clearly using appropriate formats and tailored messaging for varied … cleansing of data. Use Power BI, Google Analytics, Looker Studio, and Azure Data Services to build dashboards and performance reports. Leverage BigQuery and Google Tag Manager for advanced data analysis, tracking, and reporting. Ensure compliance with digital service standards and accessibility principles. Essential Skills and Experience: Demonstrated 5+ years of experience working within performance analysis or similar roles. … Strong technical capability in: Microsoft Power BI Microsoft Azure Data Services Google Analytics, Google Tag Manager, BigQuery, Looker Studio Statistical analysis, hypothesis testing, and significance evaluation Experience in designing and implementing performance frameworks and KPIs. Skilled in user-centred analysis, translating user research and behaviour into strategic insight. Excellent communication skills with the ability to present complex More ❯

of a Senior Performance Analyst and work within a multi-disciplinary team. Key Responsibilities: Lead the development of performance measurement frameworks and meaningful KPIs. Apply quantitative and qualitative data analysis to drive service improvement. Work closely with stakeholders, user researchers, and service teams to deliver actionable insights. Communicate analysis clearly using appropriate formats and tailored messaging for varied … cleansing of data. Use Power BI, Google Analytics, Looker Studio, and Azure Data Services to build dashboards and performance reports. Leverage BigQuery and Google Tag Manager for advanced data analysis, tracking, and reporting. Ensure compliance with digital service standards and accessibility principles. Essential Skills and Experience: Demonstrated 5+ years of experience working within performance analysis or similar roles. … Strong technical capability in: Microsoft Power BI Microsoft Azure Data Services Google Analytics, Google Tag Manager, BigQuery, Looker Studio Statistical analysis, hypothesis testing, and significance evaluation Experience in designing and implementing performance frameworks and KPIs. Skilled in user-centred analysis, translating user research and behaviour into strategic insight. Excellent communication skills with the ability to present complex More ❯

this could be a great fit.? The Role Partner with stakeholders to understand their needs and translate them into analytical solutions. Collaborate across teams to uncover growth opportunities, deliver statistical analysis, and provide actionable insights. Build and enhance data models, dashboards and reporting tools, using SQL Server and Power BI. Contribute to shaping our data strategy as we … datasets and translate business logic into analytics. Excellent communication skills – you can clearly explain data to both technical and non-technical audiences. Proven ability to apply statistics, exploratory data analysis, and predictive modelling. Experience with ERP systems or large-scale data migrations is a plus but not essential. Background in e-commerce or service operations would be advantageous. What 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 Data Scientist - Category Management : Partner with the Data Team to measure and report on availability levels and their impact … 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 ❯