551 to 575 of 4,067 Analytics Jobs

cloud. What you'll do: Work as part of an Agile team of Data Engineers Build, maintain, and operate cloud-based data environments Debug and resolve data processing and analytics issues Develop data integration and processing pipelines Collaborate with engineering, testing, and DevOps teams Support migration of test and production data Provide Tier 3 operational support What we're looking More ❯

Scientists working on the same or related projects. Requirements: A degree (PhD, MSc, BSc) in a STEM subject or similar provable numerate and quantitative skills. 2+ years’ experience solving analytics and modelling problems, ideally in sport, gaming, or similar domains with forecasting needs. 2+ years working with Python or R in a production or research setting. Strong experience using data More ❯

pivotal role in driving customer acquisition, retention, and engagement. THE ROLE As a CRM Data Analyst, you’ll join the Customer Experience (CX) team and support the CRM and analytics function. You’ll be responsible for pulling, analysing, and presenting customer data to influence decision-making and drive more effective campaigns. With a focus on storytelling through data, you’ll More ❯

pivotal role in driving customer acquisition, retention, and engagement. THE ROLE As a CRM Data Analyst, you’ll join the Customer Experience (CX) team and support the CRM and analytics function. You’ll be responsible for pulling, analysing, and presenting customer data to influence decision-making and drive more effective campaigns. With a focus on storytelling through data, you’ll More ❯

A creative thinker with a strong eye for design and user experience. Deep understanding of product management best practices and Agile methodologies. Experience defining OKRs/KPIs and leveraging analytics tools for data-driven decision-making. Excellent communication and interpersonal skills. Experience with B2B SaaS platforms and digital marketplaces is highly desirable. Familiarity with managing APIs and integrations is a More ❯

A creative thinker with a strong eye for design and user experience. Deep understanding of product management best practices and Agile methodologies. Experience defining OKRs/KPIs and leveraging analytics tools for data-driven decision-making. Excellent communication and interpersonal skills. Experience with B2B SaaS platforms and digital marketplaces is highly desirable. Familiarity with managing APIs and integrations is a More ❯

datasets from multiple sources, ensuring accuracy, spotting trends, and providing actionable reports to help clients make informed energy decisions. You'll be part of a collaborative team working across analytics, engineering, and client services - with the flexibility to work from home and develop your skills in a thriving sector. Your Role as a Data Analyst Will Include: * Managing and validating More ❯

datasets from multiple sources, ensuring accuracy, spotting trends, and providing actionable reports to help clients make informed energy decisions. You'll be part of a collaborative team working across analytics, engineering, and client services - with the flexibility to work from home and develop your skills in a thriving sector. Your Role as a Data Analyst Will Include: * Managing and validating More ❯

and handling large transaction volumes, including retries, idempotency, and throttling. - Expertise in Azure integration services (e.g., Service Bus, Event Grid, Function Apps) and monitoring tools (e.g., Application Insights, Log Analytics), including coding in Azure Functions. - Demonstrated background in secure integrations, encompassing encryption, compliance standards, and the handling of sensitive financial data. - Experience troubleshooting distributed systems and implementing webhooks or event More ❯

pivotal role in driving customer acquisition, retention, and engagement. THE ROLE As a CRM Data Analyst, you'll join the Customer Experience (CX) team and support the CRM and analytics function. You'll be responsible for pulling, analysing, and presenting customer data to influence decision-making and drive more effective campaigns. With a focus on storytelling through data, you'll More ❯

OBIEE) on a contract basis - Hybrid working - London based We are seeking a highly skilled Oracle BI (OBIEE) Consultant with deep expertise in SQL to join our data and analytics team. This role requires a detail-oriented professional who can design, develop, and optimise business intelligence solutions using OBIEE, with a strong emphasis on writing and optimising complex SQL queries. More ❯

pivotal role in driving customer acquisition, retention, and engagement. THE ROLE As a CRM Data Analyst, you’ll join the Customer Experience (CX) team and support the CRM and analytics function. You’ll be responsible for pulling, analysing, and presenting customer data to influence decision-making and drive more effective campaigns. With a focus on storytelling through data, you’ll More ❯

pivotal role in driving customer acquisition, retention, and engagement. THE ROLE As a CRM Data Analyst, you’ll join the Customer Experience (CX) team and support the CRM and analytics function. You’ll be responsible for pulling, analysing, and presenting customer data to influence decision-making and drive more effective campaigns. With a focus on storytelling through data, you’ll More ❯

build, and operation of modern cloud-based data environments. Your responsibilities will include: Designing, building, and maintaining data platforms in the cloud Debugging and resolving complex data processing and analytics issues Contributing to the continuous improvement of tools, technologies, and processes Supporting the development of data integration and transformation pipelines Collaborating with engineering, testing, and DevOps teams in an Agile More ❯

candidate will play a crucial role in transforming data into actionable insights to support evidence-based decision-making. Using tools like Power BI, they will develop dashboards, produce performance analytics, and collaborate with teams to understand data needs, while promoting best practices and a data-driven culture. Key Responsibilities: Develop and Maintain Power BI Dashboards : Design, build, and continuously improve More ❯

credit cards, and insurance. With a strong presence across major UK cities, they’ve built a culture focused on collaboration, work-life balance, and employee development. Their risk and analytics functions are highly regarded, and the organisation is investing significantly in data-led decision making. THE ROLE You’ll lead IFRS 9 model development within the mortgage’s portfolio, with More ❯

business's greenfield AWS data platform. Build and optimise scalable data pipelines to ingest, transform, and manage large datasets. Architect and develop a new data lake to enable advanced analytics and reporting. Define and implement data engineering best practices, ensuring quality, security, and governance. Collaborate with cross-functional teams to understand business requirements and translate them into data solutions. Mentor More ❯

in marketing, pricing, and product data analysis across the UK and French markets. This is a fantastic opportunity for someone with experience in data analysis , pricing , product , or marketing analytics, especially if you're looking to deepen your expertise in a commercial environment . What's in It for You ££Competitive Salary Enhanced pension , healthcare , and life assurance 25 days More ❯

and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience within Microsoft Azure data tools (Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling expertise for analytics use cases. ✅ Strong ETL/ELT development skills. ✅ Python/Pyspark experience ✅ Experience with CI/CD methodologies for data platforms. ✅ Deep knowledge of SQL ✅ Extensive London Markets experience Why More ❯

and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience within Microsoft Azure data tools (Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling expertise for analytics use cases. ✅ Strong ETL/ELT development skills. ✅ Python/Pyspark experience ✅ Experience with CI/CD methodologies for data platforms. ✅ Deep knowledge of SQL ✅ Extensive London Markets experience Why More ❯

and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience within Microsoft Azure data tools (Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling expertise for analytics use cases. ✅ Strong ETL/ELT development skills. ✅ Python/Pyspark experience ✅ Experience with CI/CD methodologies for data platforms. ✅ Deep knowledge of SQL ✅ Extensive London Markets experience Why More ❯

and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience within Microsoft Azure data tools (Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling expertise for analytics use cases. ✅ Strong ETL/ELT development skills. ✅ Python/Pyspark experience ✅ Experience with CI/CD methodologies for data platforms. ✅ Deep knowledge of SQL ✅ Extensive London Markets experience Why More ❯

and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience within Microsoft Azure data tools (Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling expertise for analytics use cases. ✅ Strong ETL/ELT development skills. ✅ Python/Pyspark experience ✅ Experience with CI/CD methodologies for data platforms. ✅ Deep knowledge of SQL ✅ Extensive London Markets experience Why More ❯

local income and expense calculations, and financial management best practices can be leveraged to deliver financial wellness tools in the UK market. This role will allow you to partner analytics teams to review and enhance data categorization for key income and expense transactions, develop a specification for both rules based and machine learning driven enhancements to categorization by defining transaction More ❯

What You Need to Succeed (Minimum Requirements): TS/SCI Clearance Eight (8) years of relevant experience with a BS in Data Science, Mathematics, Information Science, Statistics, Engineering, Business Analytics, or related degree OR Four (4) years of relevant experience with an MS degree in Data Science, Engineering, Mathematics, or related degree. High proficiency in Python and a deep understanding More ❯