1 to 25 of 5,816 Remote Analytics Jobs in the UK excluding London

CDP and SCV, aligning with overall business objectives and stakeholder needs. Requirements Gathering: Proactively gather, analyze, and prioritize requirements from internal stakeholders (marketing, product, analytics, etc.) for data integration, access, and utilization. Data Source Integration: Oversee the integration of various data sources into the CDP, ensuring data quality, consistency, and More ❯

CDP and SCV, aligning with overall business objectives and stakeholder needs. Requirements Gathering: Proactively gather, analyze, and prioritize requirements from internal stakeholders (marketing, product, analytics, etc.) for data integration, access, and utilization. Data Source Integration: Oversee the integration of various data sources into the CDP, ensuring data quality, consistency, and More ❯

Analytics Engineer Alethia Talent is excited to partner with Enthuse in their search for an Analytics Engineer to join their dynamic team. Based in London, this is an exceptional opportunity to join a fast-scaling, socially-driven organisation and play a key role in revolutionising digital fundraising for charities across … the UK. What You’ll Get as an Analytics Engineer: ● A salary of £65,000- £75,000 depending on experience. ● We believe work-life balance matters and have flexible hours, working from home, and support part-time work ● We believe in giving back and give you one paid day to … our company's goals — and also help build and grow a company of smart and passionate people. And create a real impact. As our Analytics Engineer , you will lead on setting the bar for the quality and accessibility of our data through transformation, modelling and testing. You will be key More ❯

Analytics Engineer Alethia Talent is excited to partner with Enthuse in their search for an Analytics Engineer to join their dynamic team. Based in London, this is an exceptional opportunity to join a fast-scaling, socially-driven organisation and play a key role in revolutionising digital fundraising for charities across … the UK. What You’ll Get as an Analytics Engineer: ● A salary of £65,000- £75,000 depending on experience. ● We believe work-life balance matters and have flexible hours, working from home, and support part-time work ● We believe in giving back and give you one paid day to … our company's goals — and also help build and grow a company of smart and passionate people. And create a real impact. As our Analytics Engineer , you will lead on setting the bar for the quality and accessibility of our data through transformation, modelling and testing. You will be key More ❯

cloud platforms (AWS, GCP, or Azure) and MLOps pipelines Solid understanding of NLP, LLM fine-tuning, and prompt engineering Preferred Qualifications Familiarity with customer analytics and marketing automation workflows Experience in financial compliance (e.g., GDPR, FCA) or savings product optimization Knowledge of business intelligence tools (Tableau, Power BI) Experience with More ❯

cloud platforms (AWS, GCP, or Azure) and MLOps pipelines Solid understanding of NLP, LLM fine-tuning, and prompt engineering Preferred Qualifications Familiarity with customer analytics and marketing automation workflows Experience in financial compliance (e.g., GDPR, FCA) or savings product optimization Knowledge of business intelligence tools (Tableau, Power BI) Experience with More ❯

per annum Our award-winning client, based in Newark, Nottinghamshire is seeking a highly skilled Data Warehouse Engineer to join their Data and Analytics team. This is a full time, permanent position with the opportunity for hybrid working. THE ROLE As a Data Warehouse Engineer , you will have the following More ❯

experience in a Data Engineering or Development role Strong SQL skills (essential); Python and C# (desirable) Hands-on experience with: Azure SQL, Azure Synapse Analytics, Azure Data Lake Microsoft Power BI, Power Automate Cloud platforms – Azure (primary), AWS (desirable) Experience with APIs, SaaS data integration, and ERP systems (e.g. Microsoft More ❯

experience in a Data Engineering or Development role Strong SQL skills (essential); Python and C# (desirable) Hands-on experience with: Azure SQL, Azure Synapse Analytics, Azure Data Lake Microsoft Power BI, Power Automate Cloud platforms – Azure (primary), AWS (desirable) Experience with APIs, SaaS data integration, and ERP systems (e.g. Microsoft More ❯

experience in a Data Engineering or Development role Strong SQL skills (essential); Python and C# (desirable) Hands-on experience with: Azure SQL, Azure Synapse Analytics, Azure Data Lake Microsoft Power BI, Power Automate Cloud platforms – Azure (primary), AWS (desirable) Experience with APIs, SaaS data integration, and ERP systems (e.g. Microsoft More ❯

technical audiences including clients at all levels including C-suite Skills we’d love to see/Amazing Extras: Experience in data engineering/analytics using native technologies of least one cloud platform (AWS, Azure, GCP) Experience working with cloud platforms and in particular architecting with native cloud resources relevant More ❯

technical audiences including clients at all levels including C-suite Skills we’d love to see/Amazing Extras: Experience in data engineering/analytics using native technologies of least one cloud platform (AWS, Azure, GCP) Experience working with cloud platforms and in particular architecting with native cloud resources relevant More ❯

Manchester, UK Industry: Retail About the Role: Our UK leading retail client are seeking a highly skilled Senior Data Scientist to join their dynamic analytics team in Manchester. In this role, you will lead strategic data initiatives aimed at optimising customer engagement, pricing, and inventory management across our retail operations. More ❯

Apps and Power Automate to design, develop, and maintain powerful solutions using the Microsoft Power Platform. Your focus will be on delivering high-quality analytics and automated workflows that drive efficiency, enable better decision-making, and add real value across our business. What you'll be doing? Design and maintain More ❯

data transformations, and data cleansing. Databases & Querying: Proficiency in SQL Server, T-SQL, and performance tuning for data warehouses. Experience working with Azure Synapse Analytics, Azure SQL DB, or similar cloud-based platforms. Microsoft Dynamics 365 (Desirable): Familiarity with Dynamics 365 Customer Engagement (CE) and Finance & Operations (F&O) data More ❯

clients business needs into technical solutions Ability to attend & contribute to keynote talks & events Customer engagement and relationship management skills Understanding of BI and analytics tools (Power BI, Tableau) Desirable Experience of Microsoft Fabric Experience of Microsoft Dynamics Experience with data governance and compliance frameworks Proficiency in AI/ML More ❯

data transformations, and data cleansing. Databases & Querying: Proficiency in SQL Server, T-SQL, and performance tuning for data warehouses. Experience working with Azure Synapse Analytics, Azure SQL DB, or similar cloud-based platforms. Microsoft Dynamics 365 (Desirable): Familiarity with Dynamics 365 Customer Engagement (CE) and Finance & Operations (F&O) data More ❯

data transformations, and data cleansing. Databases & Querying: Proficiency in SQL Server, T-SQL, and performance tuning for data warehouses. Experience working with Azure Synapse Analytics, Azure SQL DB, or similar cloud-based platforms. Microsoft Dynamics 365 (Desirable): Familiarity with Dynamics 365 Customer Engagement (CE) and Finance & Operations (F&O) data More ❯

BlackRock's investment operating system called Aladdin. Aladdin is used both internally within BlackRock and externally by many financial institutions. Aladdin combines sophisticated risk analytics with comprehensive portfolio management, trading, and operations tools on a single platform to power informed decision-making and create a connective tissue for thousands of More ❯

Manchester, UK Industry: Retail About the Role: Our UK leading retail client are seeking a highly skilled Senior Data Scientist to join their dynamic analytics team in Manchester. In this role, you will lead strategic data initiatives aimed at optimising customer engagement, pricing, and inventory management across our retail operations. More ❯

to drive business insights and decision-making Build and deploy machine learning models to solve real business problems Develop and maintain data pipelines and analytics infrastructure on Azure Collaborate with cross-functional teams to identify opportunities for data-driven improvements Establish best practices for data science workflows, model deployment, and More ❯

to drive business insights and decision-making Build and deploy machine learning models to solve real business problems Develop and maintain data pipelines and analytics infrastructure on Azure Collaborate with cross-functional teams to identify opportunities for data-driven improvements Establish best practices for data science workflows, model deployment, and More ❯

to drive business insights and decision-making Build and deploy machine learning models to solve real business problems Develop and maintain data pipelines and analytics infrastructure on Azure Collaborate with cross-functional teams to identify opportunities for data-driven improvements Establish best practices for data science workflows, model deployment, and More ❯

to drive business insights and decision-making Build and deploy machine learning models to solve real business problems Develop and maintain data pipelines and analytics infrastructure on Azure Collaborate with cross-functional teams to identify opportunities for data-driven improvements Establish best practices for data science workflows, model deployment, and More ❯

to drive business insights and decision-making Build and deploy machine learning models to solve real business problems Develop and maintain data pipelines and analytics infrastructure on Azure Collaborate with cross-functional teams to identify opportunities for data-driven improvements Establish best practices for data science workflows, model deployment, and More ❯