1 to 25 of 30 Statistical Analysis Jobs in the South East

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 ❯

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 ❯

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 ❯

patterns exist in customer charging behaviour? How can we use data to drive operational efficiency and profitability? This is a hands-on analytical role , ideal for someone who enjoys statistical problem-solving, building predictive models, and presenting clear insights that drive action - but not a pure machine learning role . Key Responsibilities Develop and maintain forecasting and pricing models … Support business teams with actionable insights and data storytelling Analyse large data sets in Snowflake/AWS using SQL and Python Apply statistical techniques (segmentation, regression, predictive modelling) Partner with stakeholders to translate business questions into data-driven answers About You Strong experience with SQL and Python (Jupyter Notebooks) Solid grounding in statistical analysis and forecasting methods More ❯

Analyst to turn data into actionable insights that drive business decisions. You'll work closely with stakeholders across the company, combining technical skills with analytical thinking to support reporting, analysis, and data-driven decision making. This role offers opportunities to learn advanced analytics techniques, collaborate with experienced data engineers and scientists, and have a meaningful impact on the business. … optimise a wide range of BI reports . Analyse data to uncover actionable insights for marketing, product, and content decisions. Support diverse projects, such as A/B test analysis, content performance evaluation, and website engagement metrics. Help enhance the internal data model , including identifying new tables or pipelines. Collaborate with technical and non-technical stakeholders across the business. … Work within a team of data analysts, engineers, and scientists , contributing to shared knowledge. Opportunity to develop skills in predictive modeling, AI/ML, clustering, segmentation, and statistical analysis . Requirements: Strong SQL skills. Experience with BI tools such as Looker, Tableau, or equivalent. Knowledge of data warehousing, ETL systems , or modern equivalents like DBT. Proven ability to More ❯

which is £1,000 per week or £52,000 per year ! Requirements: - Bachelor’s degree in Economics, Finance, Information Technology/Management, or Data Analytics - 5+ years of Data Analysis experience - Proficiency in English with strong verbal and written communication skills - Domain/Product Intuition for transforming Use Cases into actionable Data and Applications - Skills in Statistical Analysis, Mathematics, Language Processing, and Network Analysis - Proficient in KNIME and Tableau - Preferred: Experience in Financial Services Interested Apply now More ❯

experience in analytics or data science within healthcare, research, policy, or related sectors Strong knowledge of UK health and care research and clinical research processes Familiarity with databases, APIs, statistical analysis, dashboard design, AI/ML, and data cleaning Budget management experience Strong problem solving skills and the ability to generate creative, collaborative solutions Desired Criteria Experience with More ❯

experience in analytics or data science within healthcare, research, policy, or related sectors Strong knowledge of UK health and care research and clinical research processes Familiarity with databases, APIs, statistical analysis, dashboard design, AI/ML, and data cleaning Budget management experience Strong problem solving skills and the ability to generate creative, collaborative solutions Desired Criteria Experience with More ❯

tools such as Tableau or Qlik . Experience building and maintaining data pipelines . Track record of turning data into actionable insights. Desirable: Experience with Python or R for statistical analysis. Experience in Fintech , particularly with customer churn and loyalty metrics. About You Highly personable team player with a can-do attitude . Able to prioritize and manage multiple More ❯

tools such as Tableau or Qlik . Experience building and maintaining data pipelines . Track record of turning data into actionable insights. Desirable: Experience with Python or R for statistical analysis. Experience in Fintech , particularly with customer churn and loyalty metrics. About You Highly personable team player with a can-do attitude . Able to prioritize and manage multiple More ❯

tools such as Tableau or Qlik . Experience building and maintaining data pipelines . Track record of turning data into actionable insights. Desirable: Experience with Python or R for statistical analysis. Experience in Fintech , particularly with customer churn and loyalty metrics. About You Highly personable team player with a can-do attitude . Able to prioritize and manage multiple More ❯

tools such as Tableau or Qlik . Experience building and maintaining data pipelines . Track record of turning data into actionable insights. Desirable: Experience with Python or R for statistical analysis. Experience in Fintech , particularly with customer churn and loyalty metrics. About You Highly personable team player with a can-do attitude . Able to prioritize and manage multiple More ❯

job The successful candidate will provide expert leadership and technical knowledge on the delivery of software and data services across a range of digital areas, including systems, applications, data analysis, information reporting, information governance and information interpretation. They will investigate highly complex data engineering issues, be responsible for strategic planning and delivery across specialised areas and will manage the … formats (including JSON, SQL, and XML) and strong skills in relevant programming languages, frameworks, and platforms Interest and/or experience in technologies relating to data science, for example: statistical analysis, machine learning, or natural language processing Additional information COVID-19: The COVID-19 vaccination remains the best way to protect yourself, your family, your colleagues and of More ❯

job The successful candidate will provide expert leadership and technical knowledge on the delivery of software and data services across a range of digital areas, including systems, applications, data analysis, information reporting, information governance and information interpretation, investigate a range of highly complex data engineering issues, be responsible for strategic planning and delivery across a range of specialised areas … formats (including JSON, SQL, and XML) and Strong skills in relevant programming languages, frameworks, and platforms Interest and/or experience in technologies relating to data science, for example: statistical analysis, machine learning, or natural language processing Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such More ❯

patient care. Main duties of the job The successful candidate willprovide expertleadershipand technical knowledgeon the deliveryof software and dataservices across a range of digital areas, including systems, applications, data analysis, information reporting, information governance and information interpretation, investigate a range of highly complex data engineering issues, be responsible for strategic planningand deliveryacross a range of specialised areas andwill manage … including JSON, SQL, and XML) and Strong skills in relevant programming languages, frameworks, and platforms Desirable Interest and/or experience in technologies relating to data science, for example: statistical analysis, machine learning, or natural language processing Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such More ❯

queries received by phone and email Extracting data from the PACS/RIS systems to Radiology data management Day-to-day administration of the CRIS and PACS systems Basic statistical analyses Production of regular formal and informal reports About us At UHSussex, diversity is our strength, and we want you to feel included to help us always put the More ❯