10 of 10 Predictive Analysis Jobs in the North West

driving business growth. Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL … processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data … driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data engineers to optimise data architecture, data quality, and data governance frameworks in AWS. Requirements: 1.Bachelor's or master's degree in Computer Science, Statistics More ❯

driving business growth. Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL … processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data … driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data engineers to optimise data architecture, data quality, and data governance frameworks in AWS. Requirements: 1.Bachelor's or master's degree in Computer Science, Statistics More ❯

driving business growth. Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL … processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data … driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data engineers to optimise data architecture, data quality, and data governance frameworks in AWS. Requirements: 1.Bachelor's or master's degree in Computer Science, Statistics More ❯

with an understanding of both model evaluation and productionisation challenges. Expertise in statistics, hypothesis testing, sampling techniques, and anomaly detection, along with experience applying predictive modelling and regression analysis. Excellent communication and stakeholder management skills, with the ability to juggle multiple projects and guide cross- functional teams through ML More ❯

driven solutions and shape our data strategy to support business growth. Responsibilities Collaborate with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for analysis. Apply statistical and … machine learning techniques for predictive and pattern analyses. Create dashboards and KPIs using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers on data architecture, quality, and governance. Requirements Bachelor's or master's in CS, Statistics, Mathematics, or … Scientist, preferably with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. Knowledge of data modeling, ETL, data warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and statistical tools. Strong analytical and problem More ❯

expertise will shape our data strategy and support business growth. Responsibilities: Collaborate with teams to understand objectives, data needs, and analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for diverse data sources. Apply … statistical and machine learning techniques for predictive and segmentation analyses. Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master … with AWS analytics. Proficiency in AWS analytics services (Redshift, Athena, EMR, QuickSight). Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, and data visualization tools. Strong analytical and problem More ❯

shape our data strategy and support business growth. Responsibilities: Collaborate with teams to understand objectives, identify data needs, and set analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from diverse sources into AWS. … Apply statistical and machine learning techniques for predictive and pattern analyses. Identify key metrics, develop KPIs, and create dashboards using Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights. Work with data engineers to optimize data architecture, quality, and governance. Requirements: Bachelor's or master's … AWS analytics. Strong proficiency in AWS services like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization tools, and statistical packages. Analytical, problem-solving More ❯

with Verizon's Velocity Selling methodology. Using AI and advanced CRM tools, the Velocity Selling methodology boosts efficiency, productivity, and decision-making through automation, predictive analysis, and personalized customer approach. Providing you with a competitive edge and leverage to boost your own success and career growth. Sales recognition More ❯

yourself as a SME for Cyber Security within the organisation. Working very closely and building strong relationships with our Service Providers. Run advanced and predictive analyses and perform assessments based on the Mitre ATT&CK framework. Correlation monitoring using multiple SIEM technologies to ensure that the SOC achieves its More ❯

customer segments based on evolving behaviours and lifecycle stages. Monitor and optimise email deliverability, integrating third-party tools where needed to enhance automation. Data Analysis/Reporting Analyse CRM and Loyalty data to generate actionable insights that inform strategic decisions. Define and track KPIs for CRM and loyalty campaigns … delivering regular performance reports to stakeholders. Build dashboards to visualise campaign performance, segmentation metrics, and customer behaviour trends. Conduct cohort and predictive analyses to understand customer behaviour and mitigate churn risk. Stay informed on industry trends and best practices, recommending data-driven innovations. Loyalty Define and execute loyalty campaigns More ❯