901 to 925 of 7,306 Analytics Jobs in the UK

their goals and critical metrics, and then analyze data to provide actionable recommendations.Our culture is about getting things done iteratively and rapidly, with open feedback and discussion. We believe analytics is a team sport, but we strive for independent decision-making and taking smart risks.Data Scientist's day-to-day activities will include, but not be limited to:- Perform diagnostic … automate recurring data pull and modeling processes.- Leverage Tableau and Keynote to visualise insights and deliver results in business presentations and dashboards. Minimum Qualifications Relevant background in Strategy & Planning, Analytics, Data Science Stakeholder Management: Outstanding verbal and written communication skills. Strategic thinking and a consultative approach Programming: Professional experience with SQL and Python. Visualisation: Proven experience with Tableau for data … visualisation and dashboard development Prior professional experience in financial products and services Strong experience in Business Analytics and Consulting Preferred Qualifications Proven experience in marketing, advertising, or customer analytics Data handling: Fluency with SQL queries in large and complex fragmented datasets and relational databases. Statistics: Expertise in causal inference modeling and advanced statistical/econometrics models, including regression and time More ❯

Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such as customer lifetime value, predictive modelling … partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). … Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal More ❯

Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such as customer lifetime value, predictive modelling … partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). … Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal More ❯

results, and successfully implements all facets of data modeling and data reporting Focuses on automation and utilizing technology to provide repeatable reporting solutions Education & Experience Proven experience with Fusion Analytics or Fusion Data Intelligence is highly preferred B.A./B.S. in Computer Science, Statistics, or Information Systems preferred 5+ years of Data Management, Business Analysis, Analytics experience, or a combination … visualization, best practices, and techniques Understanding of Human Resources Key Performance Indicators and Metrics is a plus Skills Familiarity with Business Intelligence tools (i.e., Power BI, Tableau, Alteryx, Oracle Analytics Cloud, FAW, FDI) Oracle products highly preferred Experience conveying data trends, causes, and impacts through visualization Knowledge in creating analytics for the HR function, processes, and key metrics Understanding of More ❯

CTV. Impressive roster of Fortune 100 customers. Proprietary Marketing Intelligence Technology. 1000+ employees with global offices. The Role Strategic partner and technical expert guiding clients through robust reporting and analytics solutions. Lead client discovery sessions to shape reporting and analytics strategies. Own the data requirements and implementation roadmap from start to finish. Help internal and external teams maximize the use … of analytics tools and insights. Work with cross-functional experts across media, data engineering, and client services. Be part of a collaborative, forward-thinking culture that values innovation. Tackle exciting data challenges in the ever-evolving martech and adtech space. Desired Skills and Experience Tech-savvy problem solver with strong communication skills and a passion for client success. Strong knowledge … AdTech datasets and reporting capabilities across key channels such as Google Ads, Bing Ads, Facebook Ads, Pinterest, Amazon Ads, Amazon DSP, and The Trade Desk. Experience with advanced marketing analytics for Marketing Mix Modelling, Forecasting, and Predictive Analysis. Experience with data transformation and parsing using SQL queries, Python, or R. Experience with cloud data warehouses (e.g., Snowflake, BigQuery), visualization tools More ❯

Data Scientist Location: London (Hybrid) Salary: 80-100k + benefits One of our clients are looking for a Principal Data Scientist who thrives at the intersection of advanced analytics and commercial strategy. This is a high-impact, client-facing leadership role where you’ll apply your deep technical expertise to drive growth, uncover new opportunities, and deliver transformative AI … Partner with C-suite and senior stakeholders to translate data insights into actionable business strategies. Lead proposal development, pitch presentations, and contract negotiations. Ensure delivery of impactful, revenue-generating analytics solutions. Data Science & AI Innovation Design and deploy machine learning models and advanced analytics that optimise performance, customer engagement, and profitability. Support strategic decision-making through data-driven insights and … metrics and frameworks for tracking the commercial impact of data science initiatives. Build business cases to support investments and ensure measurable outcomes. Qualifications & Experience 8+ years in data science, analytics, or AI, with at least 3 years in a senior commercial or consulting role. Proficiency in tools and platforms such as Python, SQL, Vector stores & graphs, Power BI, Looker, and More ❯

Data Scientist Location: London (Hybrid) Salary: 80-100k + benefits One of our clients are looking for a Principal Data Scientist who thrives at the intersection of advanced analytics and commercial strategy. This is a high-impact, client-facing leadership role where you’ll apply your deep technical expertise to drive growth, uncover new opportunities, and deliver transformative AI … Partner with C-suite and senior stakeholders to translate data insights into actionable business strategies. Lead proposal development, pitch presentations, and contract negotiations. Ensure delivery of impactful, revenue-generating analytics solutions. Data Science & AI Innovation Design and deploy machine learning models and advanced analytics that optimise performance, customer engagement, and profitability. Support strategic decision-making through data-driven insights and … metrics and frameworks for tracking the commercial impact of data science initiatives. Build business cases to support investments and ensure measurable outcomes. Qualifications & Experience 8+ years in data science, analytics, or AI, with at least 3 years in a senior commercial or consulting role. Proficiency in tools and platforms such as Python, SQL, Vector stores & graphs, Power BI, Looker, and More ❯

Data Scientist Location: London (Hybrid) Salary: 80-100k + benefits One of our clients are looking for a Principal Data Scientist who thrives at the intersection of advanced analytics and commercial strategy. This is a high-impact, client-facing leadership role where you’ll apply your deep technical expertise to drive growth, uncover new opportunities, and deliver transformative AI … Partner with C-suite and senior stakeholders to translate data insights into actionable business strategies. Lead proposal development, pitch presentations, and contract negotiations. Ensure delivery of impactful, revenue-generating analytics solutions. Data Science & AI Innovation Design and deploy machine learning models and advanced analytics that optimise performance, customer engagement, and profitability. Support strategic decision-making through data-driven insights and … metrics and frameworks for tracking the commercial impact of data science initiatives. Build business cases to support investments and ensure measurable outcomes. Qualifications & Experience 8+ years in data science, analytics, or AI, with at least 3 years in a senior commercial or consulting role. Proficiency in tools and platforms such as Python, SQL, Vector stores & graphs, Power BI, Looker, and More ❯

Our Company At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across … enrich customer experiences, and fully integrate data across the enterprise. What You'll Do Teradata's comprehensive suite of AI/ML technologies and capabilities, externally branded as ClearScape Analytics, enable the largest and most analytically sophisticated organizations in the world operationalize analytics at-scale on the Vantage platform. The AI Industry Specialist (AIS) is an experienced and expert seller … comfortable working across analytics and line of business buying centers to drive continued growth from target customers and prospects. Comfortable with engaging with senior stakeholders they identify, co-lead and co-manage sales motions for opportunities within the focus industry working with the account executives and go-to-market teams. They have quota ownership for expansions and sales opportunities to More ❯

Our Company At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across … enrich customer experiences, and fully integrate data across the enterprise. What You'll Do Teradata's comprehensive suite of AI/ML technologies and capabilities, externally branded as ClearScape Analytics, enable the largest and most analytically sophisticated organizations in the world operationalize analytics at-scale on the Vantage platform. The AI Industry Specialist (AIS) is an experienced and expert seller … comfortable working across analytics and line of business buying centers to drive continued growth from target customers and prospects. Comfortable with engaging with senior stakeholders they identify, co-lead and co-manage sales motions for opportunities within the focus industry working with the account executives and go-to-market teams. They have quota ownership for expansions and sales opportunities to More ❯

We are looking to recruit a Digital Analytics Specialist to take ownership of digital data, BI dashboards, and performance tracking. You'll play a key role in transforming raw data into visual stories that help drive business success. Key Responsibilities Build and maintain dashboards and reports using Power BI Develop interactive visualisations that support business goals Optimise data models and … for detailed behavioural insights Work cross-functionally with internal teams and external partners Experience Business Intelligence & Data Power BI, Excel, SQL Server Power Query, Python, Fabric (a plus) Digital Analytics Google Analytics 4, VWO, Hotjar Google Tag Manager, Tealium Marketing & CRM Platforms Salary & Benefits : A competitive starting salary of 30k plus a comprehensive range of benefits that include: 24 days More ❯

and develop Azure data pipelines using Data Factory, Databricks, and related services. Implement and optimize ETL processes for performance, reliability, and cost-efficiency. Build scalable data models and support analytics and reporting needs. Design and maintain Azure-based data warehouses and data lakes. Ensure data governance, security, and compliance with GDPR and other regulations. Collaborate with cross-functional teams to … databases, including performance tuning and monitoring. Monitor and maintain data infrastructure, resolving issues proactively. Document technical designs and share knowledge through training and code reviews. Contribute to big data analytics and machine learning initiatives. Continuously improve platform performance and adopt new Azure capabilities. Requirements Strong experience with Azure Databricks. Proficient with Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream … Analytics, and Event Hubs. Skilled using Python, Scala, C#, .NET, and advanced SQL (T-SQL). Experience with CI/CD pipelines using Azure DevOps and infrastructure as code (Terraform, BICEP, ARM). Solid understanding of data engineering, distributed computing, and cloud-native design. Experience in data modelling, metadata management, and data quality practices. Strong communication and stakeholder engagement skills. More ❯

and develop Azure data pipelines using Data Factory, Databricks, and related services. Implement and optimize ETL processes for performance, reliability, and cost-efficiency. Build scalable data models and support analytics and reporting needs. Design and maintain Azure-based data warehouses and data lakes. Ensure data governance, security, and compliance with GDPR and other regulations. Collaborate with cross-functional teams to … databases, including performance tuning and monitoring. Monitor and maintain data infrastructure, resolving issues proactively. Document technical designs and share knowledge through training and code reviews. Contribute to big data analytics and machine learning initiatives. Continuously improve platform performance and adopt new Azure capabilities. Requirements Strong experience with Azure Databricks. Proficient with Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream … Analytics, and Event Hubs. Skilled using Python, Scala, C#, .NET, and advanced SQL (T-SQL). Experience with CI/CD pipelines using Azure DevOps and infrastructure as code (Terraform, BICEP, ARM). Solid understanding of data engineering, distributed computing, and cloud-native design. Experience in data modelling, metadata management, and data quality practices. Strong communication and stakeholder engagement skills. More ❯

opportunity for a Data Engineer to join Royal London. The successful candidate will be responsible for identifying, defining, managing, and delivering data, tools, and other technical assets to enable analytics, data science, and machine learning projects. These initiatives aim to generate insights, address key business questions, solve business problems, and support decision-making at all levels of the organisation. In … standards. The role also involves supporting the delivery of multiple projects across the team, being involved in data, tooling, and technical practices related to data engineering for business intelligence, analytics, data science, and machine learning. About the role Source and prepare data for use in Business Intelligence (BI), Analytics, and Data Science projects and initiatives. Engage with stakeholders and subject … SMEs) to identify new opportunities to apply these techniques. Source, evaluate, interpret, and manage multiple disparate data sources. Design and develop data pipelines for cloud platforms. Design and develop analytics tools that can be used by the team and by wider business users. Prototype solutions to explore business hypotheses in an agile and iterative way, supporting a learn fast/ More ❯

opportunity for a Data Engineer to join Royal London. The successful candidate will be responsible for identifying, defining, managing, and delivering data, tools, and other technical assets to enable analytics, data science, and machine learning projects. These initiatives aim to generate insights, address key business questions, solve business problems, and support decision-making at all levels of the organisation. In … standards. The role also involves supporting the delivery of multiple projects across the team, being involved in data, tooling, and technical practices related to data engineering for business intelligence, analytics, data science, and machine learning. About the role Source and prepare data for use in Business Intelligence (BI), Analytics, and Data Science projects and initiatives. Engage with stakeholders and subject … SMEs) to identify new opportunities to apply these techniques. Source, evaluate, interpret, and manage multiple disparate data sources. Design and develop data pipelines for cloud platforms. Design and develop analytics tools that can be used by the team and by wider business users. Prototype solutions to explore business hypotheses in an agile and iterative way, supporting a learn fast/ More ❯

opportunity for a Data Engineer to join Royal London. The successful candidate will be responsible for identifying, defining, managing, and delivering data, tools, and other technical assets to enable analytics, data science, and machine learning projects. These initiatives aim to generate insights, address key business questions, solve business problems, and support decision-making at all levels of the organisation. In … standards. The role also involves supporting the delivery of multiple projects across the team, being involved in data, tooling, and technical practices related to data engineering for business intelligence, analytics, data science, and machine learning. About the role Source and prepare data for use in Business Intelligence (BI), Analytics, and Data Science projects and initiatives. Engage with stakeholders and subject … SMEs) to identify new opportunities to apply these techniques. Source, evaluate, interpret, and manage multiple disparate data sources. Design and develop data pipelines for cloud platforms. Design and develop analytics tools that can be used by the team and by wider business users. Prototype solutions to explore business hypotheses in an agile and iterative way, supporting a learn fast/ More ❯

be comfortable interacting with all teams within the business to understand, capture, prioritise and document business and technical requirements leading to the deployment of automated, optimised and highly effective analytics solutions. You will have exceptional data science and programming skills with additional statistical, data manipulation and data analysis capability. This all-round knowledge will be key to ensure effective communication … and collaboration with the data analytics and actuarial teams. Key responsibilities: Helps the Data Science Manager to deliver: a) Digital Data cleansing (e.g. matching of premium and claims for digital business), mining and analysing internal databases and external Broker data. b) Work alongside actuarial team to project data and analyse risk and class performance. c) Using data science/AI … technical) • Experience in a similar role supporting the development of data consumption use cases an advantage • Experience working with Azure data technology stack such as Data Factory, SQL, Synapse Analytics, PowerBI an advantage More ❯

product support group - you will need proven Data Analysis within Financial Services Key part of the role is to drive process improvements/automation, produce meaningful business and portfolio analytics using tools such as Python, SQL, KDB, and Power BI to transform and analyze data. You'll have experience in solving problems, improving data quality, streamlining manual processes, building reports … proposing analytics, and supporting the reporting infrastructure. Key Skills: Data Analysis within Financial Services - current is a must Programming skills in Python and experience with relational and non-relational databases. Proficient in MS Excel and VBA. Strong written and verbal communication skills to work effectively with cross-functional teams. Ability to work independently and automate processes This is an initial More ❯

product support group - you will need proven Data Analysis within Financial Services Key part of the role is to drive process improvements/automation, produce meaningful business and portfolio analytics using tools such as Python, SQL, KDB, and Power BI to transform and analyze data. You'll have experience in solving problems, improving data quality, streamlining manual processes, building reports … proposing analytics, and supporting the reporting infrastructure. Key Skills: Data Analysis within Financial Services - current is a must Programming skills in Python and experience with relational and non-relational databases. Proficient in MS Excel and VBA. Strong written and verbal communication skills to work effectively with cross-functional teams. Ability to work independently and automate processes This is an initial More ❯

product support group - you will need proven Data Analysis within Financial Services Key part of the role is to drive process improvements/automation, produce meaningful business and portfolio analytics using tools such as Python, SQL, KDB, and Power BI to transform and analyze data. You'll have experience in solving problems, improving data quality, streamlining manual processes, building reports … proposing analytics, and supporting the reporting infrastructure. Key Skills: Data Analysis within Financial Services - current is a must Programming skills in Python and experience with relational and non-relational databases. Proficient in MS Excel and VBA. Strong written and verbal communication skills to work effectively with cross-functional teams. Ability to work independently and automate processes This is an initial More ❯

serve them better. This is a highly cross-functional leadership role - sitting at the intersection of data science, marketing, product, and editorial . You'll oversee customer segmentation, behavioral analytics, retention modeling, and strategic research, translating complex data into actionable insight to fuel decision-making across the business. You'll work closely with marketing, product, editorial, and senior leadership to … lifetime value. Key Responsibilities Lead GB News' customer and audience insight function, developing a deep understanding of viewer behavior, member value, and user journeys. Partner with Data Science and Analytics to design and implement models around segmentation, churn risk, LTV, engagement scoring, and conversion likelihood. Guide research and analysis to support marketing, content, and product teams - including audience profiling, cohort … to inform experimentation strategies, messaging personalization, and audience growth initiatives. Act as a champion for insight-led decision-making across the business. Qualifications 8+ years in data strategy, marketing analytics, customer insights, or a related field, ideally within media, publishing, or a subscription-driven business Strong experience with data analytics tools (SQL, Python, R) and BI platforms (e.g., Power BI More ❯

skilled and proactive Microsoft Fabric Administrator to manage, configure, monitor, and optimize our Microsoft Fabric environment. The ideal candidate will have a strong background in administering enterprise data and analytics platforms, with specific experience in Microsoft services like Power BI, Synapse, and Data Factory within the Fabric ecosystem. Key Responsibilities: Administration & Configuration Manage Microsoft Fabric tenant settings, capacities, and environments. … data encryption configurations. Ensure compliance with organizational and regulatory security standards. Monitoring & Optimization Monitor usage, performance, and capacity of the Fabric platform. Set up alerts, diagnostic logs, and usage analytics for proactive issue resolution. Optimize workloads and cost management through workload monitoring and scaling. Support & Troubleshooting Serve as the primary point of contact for user issues related to Microsoft Fabric. … the latest features and capabilities of Microsoft Fabric. Required Qualifications: Bachelor's degree in Computer Science, Information Technology, or related field. 5+ years of experience with Microsoft data and analytics platforms (e.g., Power BI, Azure Synapse, Azure Data Factory). 1+ year experience specifically managing Microsoft Fabric or strong experience with its constituent services. Proficiency in Azure Portal, Azure Active More ❯

skilled and proactive Microsoft Fabric Administrator to manage, configure, monitor, and optimize our Microsoft Fabric environment. The ideal candidate will have a strong background in administering enterprise data and analytics platforms, with specific experience in Microsoft services like Power BI, Synapse, and Data Factory within the Fabric ecosystem. Key Responsibilities: Administration & Configuration Manage Microsoft Fabric tenant settings, capacities, and environments. … data encryption configurations. Ensure compliance with organizational and regulatory security standards. Monitoring & Optimization Monitor usage, performance, and capacity of the Fabric platform. Set up alerts, diagnostic logs, and usage analytics for proactive issue resolution. Optimize workloads and cost management through workload monitoring and scaling. Support & Troubleshooting Serve as the primary point of contact for user issues related to Microsoft Fabric. … the latest features and capabilities of Microsoft Fabric. Required Qualifications: Bachelor's degree in Computer Science, Information Technology, or related field. 5+ years of experience with Microsoft data and analytics platforms (e.g., Power BI, Azure Synapse, Azure Data Factory). 1+ year experience specifically managing Microsoft Fabric or strong experience with its constituent services. Proficiency in Azure Portal, Azure Active More ❯

skilled and proactive Microsoft Fabric Administrator to manage, configure, monitor, and optimize our Microsoft Fabric environment. The ideal candidate will have a strong background in administering enterprise data and analytics platforms, with specific experience in Microsoft services like Power BI, Synapse, and Data Factory within the Fabric ecosystem. Key Responsibilities: Administration & Configuration Manage Microsoft Fabric tenant settings, capacities, and environments. … data encryption configurations. Ensure compliance with organizational and regulatory security standards. Monitoring & Optimization Monitor usage, performance, and capacity of the Fabric platform. Set up alerts, diagnostic logs, and usage analytics for proactive issue resolution. Optimize workloads and cost management through workload monitoring and scaling. Support & Troubleshooting Serve as the primary point of contact for user issues related to Microsoft Fabric. … the latest features and capabilities of Microsoft Fabric. Required Qualifications: Bachelor's degree in Computer Science, Information Technology, or related field. 5+ years of experience with Microsoft data and analytics platforms (e.g., Power BI, Azure Synapse, Azure Data Factory). 1+ year experience specifically managing Microsoft Fabric or strong experience with its constituent services. Proficiency in Azure Portal, Azure Active More ❯

Data Scientist - Marketing/Customer Analytics Reading – Hybrid (3x per week in office) Up to £60,000 + Benefits About the Role A leading research and insights company is looking for a Data Scientist to join their growing team. With a strong focus on data-driven decision-making, they help brands across entertainment, tech, sports, and consumer goods maximise their … proven track record of delivering impactful projects. Strong statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client … as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but not essential. If this role looks of interest, please reach out to Joseph Gregory. More ❯