151 to 175 of 2,571 Analytics Jobs in the UK excluding London

and data pipelines Develop scalable solutions in Azure Data Factory and Microsoft Fabric Create insightful Power BI dashboards and visualisations Write and optimise SQL queries to support reporting and analytics Collaborate across teams to enhance data quality and governance Key Requirements Proven Microsoft Fabric and Azure Data Factory experience Strong ETL, data pipeline, and SQL skills Expertise in Power BI More ❯

and data pipelines Develop scalable solutions in Azure Data Factory and Microsoft Fabric Create insightful Power BI dashboards and visualisations Write and optimise SQL queries to support reporting and analytics Collaborate across teams to enhance data quality and governance Key Requirements Proven Microsoft Fabric and Azure Data Factory experience Strong ETL, data pipeline, and SQL skills Expertise in Power BI More ❯

data warehousing, ETL/ELT, and reporting solutions . Excellent communication skills; able to engage technical and non-technical stakeholders. Agile/Scrum experience. Desirable AWS certifications (e.g. Data Analytics, Solutions Architect). Experience with BI tools. Knowledge of government digital delivery standards (GDS). More ❯

This role is ideal for someone who thrives on turning raw financial and operational data into actionable insight — and who’s comfortable working with NetSuite, SaaS metrics, and data analytics tools to support growth and efficiency. You’ll play a key role in building models, analysing business trends, and partnering with leadership to drive informed decisions across the company. What More ❯

Data Governance: Understanding of data quality, data lineage, and metadata management principles. ETL/ELT Processes: Experience designing and implementing data integration workflows. Business Intelligence: Knowledge of reporting and analytics platforms (Power BI, SSRS, or similar) Data Warehousing: Experience with dimensional modelling and data warehouse architecture patterns API Integration: Understanding of REST/SOAP APIs and data service architectures. Data More ❯

a high-performing architecture team. Ideal Candidate: Proven leadership in IT strategy and enterprise architecture. Strong experience in delivering complex global technology solutions. Deep knowledge of emerging tech, data analytics, and platforms such as Microsoft D365, Power BI, and Azure. TOGAF certified with relevant academic qualifications. Strategic thinker with strong influencing and collaboration skills. Comfortable with complexity and able to More ❯

best and scale success. Communicate the story: Present insights clearly to both technical and non-technical stakeholders, influencing strategy and operational improvements. What You'll Bring: Experience in Data Analytics or Data Science, ideally in Customer Success, Operations or Digital Team. Strong SQL skills and experience with dashboarding tools such as Tableau. Familiarity with Snowflake, Databricks, Spark, and ETL processes. More ❯

empowering teams across the business to make smarter and faster decisions. As part of their continued growth, they are looking to bring on a Junior Analyst to join their analytics team. This is a high-impact, detail-oriented role where you will play a key part in ensuring data quality, spotting anomalies and supporting performance monitoring across the business. You More ❯

optimisation best practices • Partner with business stakeholders and Data Business Partners to translate needs into BI solutions • Validate outputs and ensure accuracy against existing reports • Champion data use and analytics adoption across the organisation How to apply? For further details on the position and the company, please share your CV directly via the job advert. More ❯

practices , including version control, testing, and CI/CD. Desirable Skills Experience creating optimised data workflows and scalable AI solutions. Deep understanding of Microsoft Azure AI services. Strong data analytics and visualisation skills using Excel and Alteryx . Awareness of Responsible AI and ethical model design principles. More ❯

driven technology solutions. Degree educated with proven track record as C#/.Net Back-End Developer. Remote-Friendly Software Development Opportunity in Agricultural Technology Join an award-winning agricultural analytics software company at the forefront of sustainable technology. We're seeking exceptional Back-End Developers who can transform data into impactful solutions that enhance food production, farm economics, and environmental More ❯

wide data solutions. What You’ll Need Proven experience as a Business Analyst on large-scale data transformation programmes. Strong understanding of data platforms, data lakes, data governance, and analytics within enterprise environments. Experience working with cloud-based data solutions (e.g. Azure, AWS, or GCP) and associated technologies such as Data Lakes or Databricks. Excellent communication and stakeholder management skills More ❯

Build and lead a new AI/ML function , while shaping the existing data team. Establish a modern data platform using Fabric, Databricks or similar technologies to power predictive analytics and automation. Deliver the business's first AI-powered products and tools , such as intelligent search, document OCR and insight-driven reporting. Partner with product and engineering to turn customer More ❯

regularly with occasional travel to client sites. Requirements: Proven experience as a BI Developer and preferably within a SaaS environment. Minimum of 3 years commercial experience developing reports or analytics experience using Business Intelligence tools including Power BI, Qlik, Tableau or similar. Strong SQL/MySQL and database skills, particularly SQL/MySQL query development to extract data. Experience of More ❯

to lead a data-driven transformation from the front? As our Head of Data & Modelling , you’ll be at the forefront of a bold, data-led evolution ,using advanced analytics and cutting-edge technology to shape a smarter, more sustainable future. This is a blank canvas, a chance to define the future of data, drive enterprise-level change, and build 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 ❯

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 ❯

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 ❯

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 ❯