6 of 6 Regression Analysis Jobs in the South East

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 Interpretation … 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 stakeholders. Business More ❯

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 Interpretation … 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 stakeholders. Business More ❯

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 Interpretation … 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 stakeholders. Business More ❯

you belong. The Details Combine market, customer, marketing and assortment insights to drive a holistic picture of performance, proactively communicating key trends and opportunities to senior leadership Completeexploratory data analysis and statistical modelling (e.g., regression analysis, clustering techniques) to propose innovative solutions on topics such as customer and product segmentations to help determine high impact actions and … enjoys immersing yourselfin data to solvebusiness problems and present compelling stories that drive change Experience in mining and analysing large data sets, with proficiency in using data and statistical analysis tools to query datasets and drive end-to-end complete analysis that helps accelerate the business Experience using data to create compelling stories that communicate key messages across … ability to analyse trends and data through the customer lens A collaborate approach and ability to operate as an analytical thought partner who can translate business questions into data analysis visions to execute Strong communication skills, comfortable presenting data to groups of stakeholders in a way that is effective and concise The abilityto break down complex problems into smaller More ❯

or similar. Develop and maintain reports to support business performance monitoring. Work with stakeholders to define key performance indicators (KPIs) and reporting requirements. Use statistical tools and techniques (e.g., regression analysis, hypothesis testing) to support data-driven decision-making. Collaborate with data engineers and IT to ensure data integrity and optimize data pipelines. Present findings to stakeholders in More ❯

home data to measure campaign effectiveness at impression and outcome level. Lead on brand lift measurement, showing how advertising works and refining the signals that prove campaign impact. Apply regression analysis, MMM techniques and work with AI/LLMs where relevant. Collaborate closely with engineering and product teams to integrate data from multiple systems. Translate insights into clear … technical stakeholders, focusing on outcome metrics and campaign improvement. You Experienced Data Scientist with a background in fraud, methodology, and campaign/brand measurement. Strong technical skills across Python, regression modelling and MMM. Confident working with large datasets and combining app, web and device-level data. Able to operate at outcome level, translating complex data into clear commercial recommendations. More ❯