26 to 50 of 1,731 Analytics Jobs in London

and Power Pivot (including DAX). Build and maintain dashboards and visualisations in Power BI and Tableau from SQL sources. Collaborate with cross-functional teams to deliver reports and analytics to meet program deadlines. Ensure accurate, timely, and high-quality data reporting across multiple systems. Technology & Tools: SQL database architectures and writing complex T-SQL queries Data warehousing concepts and More ❯

and Power Pivot (including DAX). Build and maintain dashboards and visualisations in Power BI and Tableau from SQL sources. Collaborate with cross-functional teams to deliver reports and analytics to meet program deadlines. Ensure accurate, timely, and high-quality data reporting across multiple systems. Technology & Tools: SQL database architectures and writing complex T-SQL queries Data warehousing concepts and More ❯

and Power Pivot (including DAX). Build and maintain dashboards and visualisations in Power BI and Tableau from SQL sources. Collaborate with cross-functional teams to deliver reports and analytics to meet program deadlines. Ensure accurate, timely, and high-quality data reporting across multiple systems. Technology & Tools: SQL database architectures and writing complex T-SQL queries Data warehousing concepts and More ❯

problems with data? Join a fast-growing tech and software innovation company in the heart of London. We’re looking for a Data Scientist eager to apply advanced modelling, analytics, and machine learning to build cutting-edge software solutions that empower businesses, streamline operations, and unlock growth. 🔍 Your Responsibilities: Data exploration & modelling: Work with large, complex datasets to uncover insights More ❯

problems with data? Join a fast-growing tech and software innovation company in the heart of London. We’re looking for a Data Scientist eager to apply advanced modelling, analytics, and machine learning to build cutting-edge software solutions that empower businesses, streamline operations, and unlock growth. 🔍 Your Responsibilities: Data exploration & modelling: Work with large, complex datasets to uncover insights More ❯

Fivetran, Airflow) to enhance data capabilities. Stay current with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding More ❯

Fivetran, Airflow) to enhance data capabilities. Stay current with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding More ❯

Fivetran, Airflow) to enhance data capabilities. Stay current with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding More ❯

Fivetran, Airflow) to enhance data capabilities. Stay current with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding More ❯

capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems More ❯

capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems More ❯

capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems More ❯

capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems More ❯

leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level More ❯

leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level More ❯

leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level More ❯

leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level More ❯

integrity Collaborate with cross-functional teams, including Product, Engineering, FP&A, Data, and BD, to implement and execute monetization strategies effectively What you will need Proven experience in growth analytics and monetization (pricing, promotions, rewards, and loyalty programs) functions, with examples of implementing successful monetization strategies within a Consumer product Track record of designing and implementing high-impact incentive and More ❯

/EAM platforms, leverage cloud-based systems, and analyze trends using SQL databases to monitor asset performance and compliance Qualifications/Skills Basic: - Bachelor's degree in engineering, data analytics, or a related field. - Experience in maintenance systems, data analysis, or reporting within a manufacturing environment. - Strong analytical skills with the ability to interpret complex data sets. - Proficiency in data More ❯

interpersonal skills Ability to manage multiple tasks and prioritize effectively Experience supporting analytical projects end-to-end, and communicating findings through clear data visualisation Preferred Qualifications : Degree in Data Analytics, Engineering, or another quantitative field Experience working with large scale dataset Experience working in operations or process improvement Top 3 Non – negotiable skills: SQL, data analysis. Project management Good comms More ❯

on time. Essential Skills & Experience: Solid experience in an MI-focused role. Advanced Excel skills. Strong experience with SAS : coding, Enterprise Guide (EG) , Data Integration Studio (DI) , and Visual Analytics (VA) . Experience with data quality management concepts. Excellent communication and stakeholder management skills—able to explain complex technical information to non-technical audiences. Proactive problem-solving skills and strong More ❯

Warehousing, Visualization, Data Science, and Data Governance. Headquartered in Sydney, Australia, with offices worldwide, we help clients navigate complex business conditions, eliminate inefficiencies, and enable scalable adoption of an analytics-driven culture. About the Role We are seeking a Senior Data Governance Consultant with a strong understanding of data management principles to support a security-focused project centered on Data More ❯

DXC Technology: DXC Technology is a global leader in IT services, delivering mission-critical technology solutions that drive business transformation. With expertise in hybrid cloud, IT modernization, security, and analytics, DXC enables enterprises to thrive in a rapidly evolving digital landscape. Our clients rely on us to provide end-to-end solutions that improve performance, security, and scalability across their More ❯

similar fast-paced industry Proven track record of defining product vision, strategy, and roadmaps, and successfully delivering product increments Demonstrable experience as a Product Owner for data warehousing and analytics products, including expanding the use of platforms like BigQuery and implementing BI strategies Direct experience as a Product Owner for the implementation of iPaaS platforms (e.g., Mulesoft, Dell Boomi, Azure More ❯

CRM and Commerce solutions from leading platforms (Salesforce, Microsoft, Oracle, etc.) based on client needs. Design robust architectures that integrate CRM and commerce solutions with ERP systems, data platforms, analytics tools (Tableau, Power BI), and external systems. Lead large-scale digital transformation projects, ensuring alignment of CRM solutions with ERP, data lakes, cloud infrastructure, and CI/CD frameworks. Work More ❯