Subscription Analytics Manager Location: Harmsworth Media Headquarters, Derry Street, HSK, London Position: Permanent Role Overview As Analytics Manager you will play a key role in driving data analytics initiatives that support subscriber growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), 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, and maintain … customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise More ❯
Associate Director, Data Analytics - Value Creation Interpath Leeds or Birmingham or Belfast or Manchester or Glasgow Interpath is an international and fast-growing advisory business with deep expertise in a broad range of specialisms spanning deals, advisory and restructuring capabilities. We deliver tangible results for global businesses, their investors, and stakeholders when complex problems arise, and critical decisions need to … s leading advisory firms with a truly global footprint. Interpath is looking for an experienced candidate to help develop Interpath's Data & Technology consulting group, of which the Data Analytics team is part. Our Data Analytics team is a busy group serving analytics requirements across multiple service lines at Interpath. We will consider Data Analytics specialists with experience in various … collected, stored, applied and presented. This is an opportunity to join a fast-growing unit and to play a key role in its development and growth. Key Accountabilities: Deals Analytics support Building new data capabilities covering Customer profiling, segmentation & profitability; demand forecasting & inventory management; supply chain optimisation; (Procurement) spend analytics to compliment the mature working capital capability in place today. More ❯
About The Role Team – Intermediated Sales Analytics Working Pattern - Hybrid – 2 days per week in the Vitality London Office. Full time, 35 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Cross-Functional Data Operations & Stakeholder Management Advanced Analytics & Insight Generation Technical People Leadership & Capability Growth What this role is all about … We’re looking for a proactive and collaborative Team Lead to join our Intermediated Sales Analytics function, supporting across our Intermediates sales teams. This role acts as a key business partner embedded within the sales teams, leading the delivery of data and insight that drives performance and informs strategic decision-making.You’ll manage a team of analysts and senior analysts … key point of contact for stakeholders across Intermediated teams and related functions (e.g., Marketing, QA & Compliance, Finance, CRM & Data Science), supporting cross-functional projects and helping to represent the analytics perspective Lead the delivery of the Intermediated Analytics roadmap by coordinating team efforts, contributing to planning discussions, and ensuring work is aligned with business needs and timelines Insight Generation & Analytical More ❯
Nottingham, Nottinghamshire, East Midlands, United Kingdom Hybrid / WFH Options
Experian Ltd
help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services … insights and automation that enhance the efficiency and accuracy of our controls testing. This is a hybrid role based out of Nottingham or London office reporting into our Senior Analytics and Automation Manager. Work that matters What you'll do Perform advanced data analytics to support ICFR and financial controls testing. Develop scripts and queries for automated, continuous monitoring. Develop … secure, complete data feeds from multiple sources. Create impactful dashboards and visualizations to report testing results. Support integrated reporting combining analytics, monitoring, and manual testing. Stay ahead of latest analytics and automation trends to improve processes. Qualifications What you'll need to bring to the role & Experian Degree or equivalent experience in a related field. Experience in data analytics delivery. More ❯
Head of Analytics and Insights Hybrid ( Manchester) Permanent About CAVU For airports, for partners, for people. We are CAVU. At CAVU our purpose is to find new and better ways to make airport travel seamless and enjoyable for everybody — from the smallest ideas to the biggest changes. Every day here is about creating better travel experiences. From our revenue-accelerating … to life, and push boundaries, then CAVU is the place for you. Together, we can reach new heights. Together, we are CAVU. What's the role? As Head of Analytics and Insights, you'll play a pivotal role within CAVU's centralised Data function — sitting on the senior leadership team and guiding three specialist analytics areas: Marketing Analytics, Digital Analytics … and Commercial Analytics. You'll lead the development of a unified analytics and insights strategy, using data to drive decision-making, optimise performance, and unlock new growth opportunities across the business. CAVU has been on an exciting digital and data transformation journey, with the acquisition of new brands and the creation of best-in-class products. Data has been fundamental More ❯
to life, and push boundaries, then CAVU is the place for you. Together, we can reach new heights. Together, we are CAVU. What's the role? As Head of Analytics and Insights, you'll play a pivotal role within CAVU's centralised Data function - sitting on the senior leadership team and guiding three specialist analytics areas: Marketing Analytics, Digital Analytics … and Commercial Analytics. You'll lead the development of a unified analytics and insights strategy, using data to drive decision-making, optimise performance, and unlock new growth opportunities across the business. CAVU has been on an exciting digital and data transformation journey, with the acquisition of new brands and the creation of best-in-class products. Data has been fundamental … to this - and now, we're looking for a forward-thinking leader to continue that momentum, shaping the future of our analytics capability and influencing strategic decisions at a global scale. Key accountabilities include: Developing and executing a unified analytics and insights strategy that aligns with CAVU's marketing, digital, and commercial goals. Providing thought leadership in using data to More ❯
visualisations using Power BI/Tableau to communicate findings as a basis for drafting informed and objective opinions on the adequacy and effectives of controls under review Use data analytics to assess and identify key risk indicators, enabling auditors to focus on high-risk areas Innovate and drive continuous improvement in audit processes through the use of new technologies and … knowledge of audit industry practices, regulatory environment and industry developments Training Data Analyst Level 4. What you’ll gain: Technical depth: SQL/Python/Alteryx for data prep, analytics, automation; Power BI/Tableau for storytelling; data quality and controls Risk and audit mindset: How banks manage risk, controls testing, regulatory expectations, and internal audit standards Problem solving at … auditors and business leads, influencing actions Delivery habits: Agile ways of working, documentation, evidence standards, and meeting deadlines Where it can take you (example paths): Data Analyst → Senior Analyst → Analytics Lead (across audit, risk, finance, operations) Internal Audit Analyst → Auditor → Audit Manager (with a data specialisation) Risk/Compliance Analyst → Financial Crime/Operational Risk Data roles Data Engineering/ More ❯
high levels of customer engagement. This will involve ongoing analysis of business requirements throughout the lifetime of the service. Candidates will have a strong understanding of data architecture and analytics design and project delivery life-cycles with an emphasis of working in client facing environments. Typically the role will involve the following: Translating Business requirements to technical solutions and the … production of specifications, Designing and implementing business intelligence & modern data analytics platform technical solutions, Data architecture design and implementation Data modelling, Databricks ETL, data integration and data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions More ❯
high levels of customer engagement. This will involve ongoing analysis of business requirements throughout the lifetime of the service. Candidates will have a strong understanding of data architecture and analytics design and project delivery life-cycles with an emphasis of working in client facing environments. Typically the role will involve the following: Translating Business requirements to technical solutions and the … production of specifications, Designing and implementing business intelligence & modern data analytics platform technical solutions, Data architecture design and implementation Data modelling, Databricks ETL, data integration and data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions More ❯
high levels of customer engagement. This will involve ongoing analysis of business requirements throughout the lifetime of the service. Candidates will have a strong understanding of data architecture and analytics design and project delivery life-cycles with an emphasis of working in client facing environments. Typically the role will involve the following: Translating Business requirements to technical solutions and the … production of specifications, Designing and implementing business intelligence & modern data analytics platform technical solutions, Data architecture design and implementation Data modelling, Databricks ETL, data integration and data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions More ❯
Any additional information you require for this job can be found in the below text Make sure to read thoroughly, then apply. Reassured are looking for a Data Analytics Engineer to help us unlock the power of data across the business. If you're passionate about turning raw data into actionable insights and building robust data pipelines, this is your … chance to make a real impact in a fast-paced, collaborative environment. As a Data Analytics Engineer, you'll be at the heart of our data platform: designing and delivering scalable solutions using Kafka for data ingestion, Databricks for ETL , modelling data for Power BI, and working closely with stakeholders to create products that drive smarter decisions. You'll play More ❯
organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready? About your team Join our growing Data & Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you'll be able to see … your own ideas transform into breakthrough results in the areas of Data & Analytics strategy, Management & Governance, Data Integration & engineering, Analytics & Data science. About your role The ideal candidate will have extensive experience in designing and implementing data architectures, with a strong understanding of database management, data modelling, and data governance. This role requires a strategic thinker with strong analytical and … like Azure Data Factory, Apache NiFi, Apache Airflow etc Good knowledge of stream and batch processing solutions like Apache Flink, Apache Kafka Good knowledge of log management, monitoring, and analytics solutions like Splunk, Elastic Stack, New Relic etc Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet More ❯
in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Data Analytics & AI - Data Science & AI - Senior Consultant EY exists to build a better working world. We empower our people by offering the culture, tech, teams, scale, challenges, learning, and the relationships … and transactions. EY teams ask better questions to find new answers for the complex issues facing our world today. The Team and the opportunity As part of our Data Analytics and AI team, the Data Scientist & AI role is pivotal in enabling our clients to derive significant value from their information assets. Through collaboration and domain expertise, our team embeds … innovative data analytics solutions into existing business areas, transforming data into strategic assets. We are looking for a Data Scientist who is passionate about leveraging data to solve complex problems and drive business outcomes. You will play a key role in driving growth by developing new and existing client relationships and delivering first-class customer experience on high-profile engagements. More ❯
business outcomes. Key Responsibilities: Technical Implementation of GenAI Capabilities Analyze, organize, and transform raw data into structured, usable formats. Build and maintain data systems, pipelines, and algorithms for advanced analytics and AI. Conduct complex data analysis to uncover trends, insights, and optimization opportunities. Prepare datasets for prescriptive and predictive modeling . Design, prototype, and validate GenAI applications aligned with business … and Databricks . Experience with tools and services such as: Azure Machine Learning, Azure AI Services, Azure OpenAI, AI Search, Data Lake Storage, Data Factory, Databricks, HDInsight, Azure Synapse Analytics, Azure SQL Database, Functions, and Azure DevOps. Strong programming skills in Python, Java, Scala, R, or .NET/C# . Proficiency in SQL and database design . Solid understanding of … data models, data mining, analytics, and segmentation techniques . Experience with ETL pipelines and data transformation tools. Desirable/Nice to Have: Hands-on experience using Azure OpenAI , Google Colab , or other GenAI platforms. Familiarity with Microsoft Azure SQL Server , Data Warehousing , or tools such as Talend . Knowledge of MLOps and CI/CD processes in AI product deployment. More ❯
business outcomes. Key Responsibilities: Technical Implementation of GenAI Capabilities Analyze, organize, and transform raw data into structured, usable formats. Build and maintain data systems, pipelines, and algorithms for advanced analytics and AI. Conduct complex data analysis to uncover trends, insights, and optimization opportunities. Prepare datasets for prescriptive and predictive modeling . Design, prototype, and validate GenAI applications aligned with business … and Databricks . Experience with tools and services such as: Azure Machine Learning, Azure AI Services, Azure OpenAI, AI Search, Data Lake Storage, Data Factory, Databricks, HDInsight, Azure Synapse Analytics, Azure SQL Database, Functions, and Azure DevOps. Strong programming skills in Python, Java, Scala, R, or .NET/C# . Proficiency in SQL and database design . Solid understanding of … data models, data mining, analytics, and segmentation techniques . Experience with ETL pipelines and data transformation tools. Desirable/Nice to Have: Hands-on experience using Azure OpenAI , Google Colab , or other GenAI platforms. Familiarity with Microsoft Azure SQL Server , Data Warehousing , or tools such as Talend . Knowledge of MLOps and CI/CD processes in AI product deployment. More ❯
business outcomes. Key Responsibilities: Technical Implementation of GenAI Capabilities Analyze, organize, and transform raw data into structured, usable formats. Build and maintain data systems, pipelines, and algorithms for advanced analytics and AI. Conduct complex data analysis to uncover trends, insights, and optimization opportunities. Prepare datasets for prescriptive and predictive modeling . Design, prototype, and validate GenAI applications aligned with business … and Databricks . Experience with tools and services such as: Azure Machine Learning, Azure AI Services, Azure OpenAI, AI Search, Data Lake Storage, Data Factory, Databricks, HDInsight, Azure Synapse Analytics, Azure SQL Database, Functions, and Azure DevOps. Strong programming skills in Python, Java, Scala, R, or .NET/C# . Proficiency in SQL and database design . Solid understanding of … data models, data mining, analytics, and segmentation techniques . Experience with ETL pipelines and data transformation tools. Desirable/Nice to Have: Hands-on experience using Azure OpenAI , Google Colab , or other GenAI platforms. Familiarity with Microsoft Azure SQL Server , Data Warehousing , or tools such as Talend . Knowledge of MLOps and CI/CD processes in AI product deployment. More ❯
business outcomes. Key Responsibilities: Technical Implementation of GenAI Capabilities Analyze, organize, and transform raw data into structured, usable formats. Build and maintain data systems, pipelines, and algorithms for advanced analytics and AI. Conduct complex data analysis to uncover trends, insights, and optimization opportunities. Prepare datasets for prescriptive and predictive modeling . Design, prototype, and validate GenAI applications aligned with business … and Databricks . Experience with tools and services such as: Azure Machine Learning, Azure AI Services, Azure OpenAI, AI Search, Data Lake Storage, Data Factory, Databricks, HDInsight, Azure Synapse Analytics, Azure SQL Database, Functions, and Azure DevOps. Strong programming skills in Python, Java, Scala, R, or .NET/C# . Proficiency in SQL and database design . Solid understanding of … data models, data mining, analytics, and segmentation techniques . Experience with ETL pipelines and data transformation tools. Desirable/Nice to Have: Hands-on experience using Azure OpenAI , Google Colab , or other GenAI platforms. Familiarity with Microsoft Azure SQL Server , Data Warehousing , or tools such as Talend . Knowledge of MLOps and CI/CD processes in AI product deployment. More ❯
business outcomes. Key Responsibilities: Technical Implementation of GenAI Capabilities Analyze, organize, and transform raw data into structured, usable formats. Build and maintain data systems, pipelines, and algorithms for advanced analytics and AI. Conduct complex data analysis to uncover trends, insights, and optimization opportunities. Prepare datasets for prescriptive and predictive modeling . Design, prototype, and validate GenAI applications aligned with business … and Databricks . Experience with tools and services such as: Azure Machine Learning, Azure AI Services, Azure OpenAI, AI Search, Data Lake Storage, Data Factory, Databricks, HDInsight, Azure Synapse Analytics, Azure SQL Database, Functions, and Azure DevOps. Strong programming skills in Python, Java, Scala, R, or .NET/C# . Proficiency in SQL and database design . Solid understanding of … data models, data mining, analytics, and segmentation techniques . Experience with ETL pipelines and data transformation tools. Desirable/Nice to Have: Hands-on experience using Azure OpenAI , Google Colab , or other GenAI platforms. Familiarity with Microsoft Azure SQL Server , Data Warehousing , or tools such as Talend . Knowledge of MLOps and CI/CD processes in AI product deployment. More ❯
business outcomes. Key Responsibilities: Technical Implementation of GenAI Capabilities Analyze, organize, and transform raw data into structured, usable formats. Build and maintain data systems, pipelines, and algorithms for advanced analytics and AI. Conduct complex data analysis to uncover trends, insights, and optimization opportunities. Prepare datasets for prescriptive and predictive modeling . Design, prototype, and validate GenAI applications aligned with business … and Databricks . Experience with tools and services such as: Azure Machine Learning, Azure AI Services, Azure OpenAI, AI Search, Data Lake Storage, Data Factory, Databricks, HDInsight, Azure Synapse Analytics, Azure SQL Database, Functions, and Azure DevOps. Strong programming skills in Python, Java, Scala, R, or .NET/C# . Proficiency in SQL and database design . Solid understanding of … data models, data mining, analytics, and segmentation techniques . Experience with ETL pipelines and data transformation tools. Desirable/Nice to Have: Hands-on experience using Azure OpenAI , Google Colab , or other GenAI platforms. Familiarity with Microsoft Azure SQL Server , Data Warehousing , or tools such as Talend . Knowledge of MLOps and CI/CD processes in AI product deployment. More ❯
london (city of london), south east england, united kingdom
Infoplus Technologies UK Limited
business outcomes. Key Responsibilities: Technical Implementation of GenAI Capabilities Analyze, organize, and transform raw data into structured, usable formats. Build and maintain data systems, pipelines, and algorithms for advanced analytics and AI. Conduct complex data analysis to uncover trends, insights, and optimization opportunities. Prepare datasets for prescriptive and predictive modeling . Design, prototype, and validate GenAI applications aligned with business … and Databricks . Experience with tools and services such as: Azure Machine Learning, Azure AI Services, Azure OpenAI, AI Search, Data Lake Storage, Data Factory, Databricks, HDInsight, Azure Synapse Analytics, Azure SQL Database, Functions, and Azure DevOps. Strong programming skills in Python, Java, Scala, R, or .NET/C# . Proficiency in SQL and database design . Solid understanding of … data models, data mining, analytics, and segmentation techniques . Experience with ETL pipelines and data transformation tools. Desirable/Nice to Have: Hands-on experience using Azure OpenAI , Google Colab , or other GenAI platforms. Familiarity with Microsoft Azure SQL Server , Data Warehousing , or tools such as Talend . Knowledge of MLOps and CI/CD processes in AI product deployment. More ❯
high levels of customer engagement. This will involve ongoing analysis of business requirements throughout the lifetime of the service. Candidates will have a strong understanding of data architecture and analytics design and project delivery life-cycles with an emphasis of working in client facing environments. Typically the role will involve the following: Translating Business requirements to technical solutions and the … production of specifications, Designing and implementing business intelligence & modern data analytics platform technical solutions, Data architecture design and implementation Data modelling, ETL, data integration and data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. More ❯
high levels of customer engagement. This will involve ongoing analysis of business requirements throughout the lifetime of the service. Candidates will have a strong understanding of data architecture and analytics design and project delivery life-cycles with an emphasis of working in client facing environments. Typically the role will involve the following: Translating Business requirements to technical solutions and the … production of specifications, Designing and implementing business intelligence & modern data analytics platform technical solutions, Data architecture design and implementation Data modelling, ETL, data integration and data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. More ❯
high levels of customer engagement. This will involve ongoing analysis of business requirements throughout the lifetime of the service. Candidates will have a strong understanding of data architecture and analytics design and project delivery life-cycles with an emphasis of working in client facing environments. Typically the role will involve the following: Translating Business requirements to technical solutions and the … production of specifications, Designing and implementing business intelligence & modern data analytics platform technical solutions, Data architecture design and implementation Data modelling, ETL, data integration and data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
CHEP UK Ltd
to customers by implementing innovative models, algorithms, and data-driven solutions aligned with business goals. Major/Key Accountabilities Design, develop, and deploy machine learning models, algorithms, and advanced analytics solutions to improve supply chain efficiency, productivity, and decision-making. Leverage data from multiple internal and external sources to build innovative tools and data products that deliver measurable business value. … Collaborate closely with cross-functional teams including data engineers, product managers, and business stakeholders to align analytics solutions with strategic objectives. Ensure data quality, model reliability, and performance by validating datasets and monitoring deployed models. Lead and mentor junior data scientists and analysts, fostering skill development and best practices within the team. Drive continuous innovation by exploring emerging data science More ❯
limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk More ❯
