826 to 850 of 3,620 Analytics Jobs in the UK excluding London

responsible for but not limited to: · Development and implement data and reporting solutions from our Dynamics, in-house and 3rd party sources, using the latest Microsoft technologies: Azure Synapse Analytics & Azure Data Factory, Azure Data Lake, Azure SQL Database Support older Microsoft Technologies whilst we are in transition: SSIS and SSRS. Supporting change and migration efforts. Work with other members More ❯

responsible for but not limited to: · Development and implement data and reporting solutions from our Dynamics, in-house and 3rd party sources, using the latest Microsoft technologies: Azure Synapse Analytics & Azure Data Factory, Azure Data Lake, Azure SQL Database Support older Microsoft Technologies whilst we are in transition: SSIS and SSRS. Supporting change and migration efforts. Work with other members More ❯

responsible for but not limited to: · Development and implement data and reporting solutions from our Dynamics, in-house and 3rd party sources, using the latest Microsoft technologies: Azure Synapse Analytics & Azure Data Factory, Azure Data Lake, Azure SQL Database Support older Microsoft Technologies whilst we are in transition: SSIS and SSRS. Supporting change and migration efforts. Work with other members More ❯

responsible for but not limited to: · Development and implement data and reporting solutions from our Dynamics, in-house and 3rd party sources, using the latest Microsoft technologies: Azure Synapse Analytics & Azure Data Factory, Azure Data Lake, Azure SQL Database Support older Microsoft Technologies whilst we are in transition: SSIS and SSRS. Supporting change and migration efforts. Work with other members More ❯

the onboarding and development of new team members in quality-related functions Technology & Data Use ITSM platforms (e.g. ServiceNow, Jira, or Zendesk) to monitor and enhance service quality Leverage analytics tools, such as Power BI, to visualise trends and highlight improvement opportunities Recommend automation solutions to streamline service delivery and boost reliability Skills & Experience Technical Proficiency Experience with ITSM and More ❯

AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and decision support Contributing to internal R&D and staying current with advancements in AI and machine learning What We’re Looking For: A recently completed Master’s degree from More ❯

AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and decision support Contributing to internal R&D and staying current with advancements in AI and machine learning What We’re Looking For: A recently completed Master’s degree from More ❯

AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and decision support Contributing to internal R&D and staying current with advancements in AI and machine learning What We’re Looking For: A recently completed Master’s degree from More ❯

high-quality, analysis-ready datasets. Play a visible role in enhancing the firm’s broader data strategy and engineering culture. Candidate Profile 1–5 years’ experience in data engineering, analytics, or automation, ideally within financial services, consulting, or a data-heavy technical environment. Strong programming ability in Python (including libraries such as pandas and NumPy ) and proficiency with SQL . More ❯

high-quality, analysis-ready datasets. Play a visible role in enhancing the firm’s broader data strategy and engineering culture. Candidate Profile 1–5 years’ experience in data engineering, analytics, or automation, ideally within financial services, consulting, or a data-heavy technical environment. Strong programming ability in Python (including libraries such as pandas and NumPy ) and proficiency with SQL . More ❯

high-quality, analysis-ready datasets. Play a visible role in enhancing the firm’s broader data strategy and engineering culture. Candidate Profile 1–5 years’ experience in data engineering, analytics, or automation, ideally within financial services, consulting, or a data-heavy technical environment. Strong programming ability in Python (including libraries such as pandas and NumPy ) and proficiency with SQL . More ❯

renowned for its collaborative, high-performance culture, one that empowers engineers to design, build, and operate systems that directly enable trading and investment decision-making. With trading volumes, data analytics, and cloud integration scaling rapidly, the firm is expanding its core network engineering function to ensure its systems remain ultra-low latency, secure, and globally consistent. This is a key More ❯

renowned for its collaborative, high-performance culture, one that empowers engineers to design, build, and operate systems that directly enable trading and investment decision-making. With trading volumes, data analytics, and cloud integration scaling rapidly, the firm is expanding its core network engineering function to ensure its systems remain ultra-low latency, secure, and globally consistent. This is a key More ❯

renowned for its collaborative, high-performance culture, one that empowers engineers to design, build, and operate systems that directly enable trading and investment decision-making. With trading volumes, data analytics, and cloud integration scaling rapidly, the firm is expanding its core network engineering function to ensure its systems remain ultra-low latency, secure, and globally consistent. This is a key More ❯

Strong interpersonal and communication skills. Based near London or Bristol with flexibility to attend client sites. Experience working in Digital Consultancies or transformation projects. Exposure to AI, ML, or analytics-based project delivery. Microsoft technology exposure, particularly Azure, in project environments. To apply for this Technical Project Manager permanent job, please click the button below and submit your latest CV. More ❯

governance tools (e.g., Collibra, Informatica, Alation). Desirable: Certification in Data Governance or Data Management (e.g., DAMA, DCAM). Experience in change management and organizational transformation. Background in data analytics, business intelligence, or IT. Personal Attributes: Strategic thinker with a hands-on approach. Empathetic and adaptable communicator. Strong problem-solving and decision-making capabilities. Collaborative mindset focused on continuous improvement. More ❯

the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect enterprise data platforms (CRM, analytics, and communication tools) with large language models — creating intelligent tools and insights that enhance the way teams operate. This is a role with real influence: you’ll own the internal More ❯

improvement in data and financial modelling. About you: We re looking for a highly capable and commercially minded Analyst with a strong background in financial analysis, budgeting, and data analytics, ideally gained within PBSA, property, or real estate. You ll bring experience and advanced Excel skills, including complex formulas, data modelling, scenario analysis, pivot tables, and VBA/macros. You More ❯

the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect enterprise data platforms (CRM, analytics, and communication tools) with large language models — creating intelligent tools and insights that enhance the way teams operate. This is a role with real influence: you’ll own the internal More ❯

How does it work? We work with our network of employers to understand their data talent needs. They are often looking for data analysts, senior analysts, data scientists, analytics engineers and effective managers We recruit and train talented individuals over the course of 14 weeks to get them ready for the jobs with our employers We match and connect our More ❯

the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect enterprise data platforms (CRM, analytics, and communication tools) with large language models — creating intelligent tools and insights that enhance the way teams operate. This is a role with real influence: you’ll own the internal More ❯

flexible mix of office and remote work 📈 Career Growth : Structured professional development, mentorship, and training opportunities 🛠 Modern Tech Stack : Work with the latest tools in data science, AI, and analytics 🤝 Collaborative Culture : Be part of a supportive and innovative team ✨ Additional Perks : Pension scheme, private healthcare, and wellbeing initiatives How to Apply: Please apply with your most up-to-date More ❯

flexible mix of office and remote work 📈 Career Growth : Structured professional development, mentorship, and training opportunities 🛠 Modern Tech Stack : Work with the latest tools in data science, AI, and analytics 🤝 Collaborative Culture : Be part of a supportive and innovative team ✨ Additional Perks : Pension scheme, private healthcare, and wellbeing initiatives How to Apply: Please apply with your most up-to-date More ❯

flexible mix of office and remote work 📈 Career Growth : Structured professional development, mentorship, and training opportunities 🛠 Modern Tech Stack : Work with the latest tools in data science, AI, and analytics 🤝 Collaborative Culture : Be part of a supportive and innovative team ✨ Additional Perks : Pension scheme, private healthcare, and wellbeing initiatives How to Apply: Please apply with your most up-to-date More ❯

refine pipelines as needed. Conduct data exploration, analysis, and preprocessing for large structured/unstructured datasets. Collaborate with cross-functional teams to integrate models into business systems. Apply predictive analytics, statistical modelling, and time series forecasting to drive decision-making. Maintain clear documentation for all AI/ML pipelines and workflows . Key Skills: Solid hands-on experience in AI More ❯