76 to 100 of 2,360 Permanent Analytics Jobs in the UK

Data Engineer - Manchester - £35,000 - Hybrid Working My client is hiring a full time Data Engineer to contribute to their expanding data science and analytics initiatives. Your role involves designing, building, and maintaining data pipelines, ensuring seamless data flow into their central Microsoft Azure repository. Collaborate with Data Analysts and more »

driven Junior SQL Data Engineer to join our team. As a Junior SQL Data Engineer, you will work closely with our data engineering and analytics teams to develop, optimize, and maintain SQL databases and data pipelines. This is an exciting opportunity for a motivated individual who is eager to learn more »

driven Junior SQL Data Engineer to join our team. As a Junior SQL Data Engineer, you will work closely with our data engineering and analytics teams to develop, optimize, and maintain SQL databases and data pipelines. This is an exciting opportunity for a motivated individual who is eager to learn more »

skills. Excellent communication and collaboration skills. Ideally we would be looking for 2-5 years' experience in a similar role of data engineer or analytics engineer. more »

Our client is looking for a Data Engineer to join their team in Woking, Surrey where you'll spearhead their data and analytics transformation journey. They are looking for a skilled individual experienced in SQL, Python, UX frameworks, and cloud platforms. You'll be instrumental in enhancing their data infrastructure more »

system and perform complex data analysis • Develop, implement, and maintain databases on an ongoing basis • Prepare reports for internal and external customers using business analytics reporting tools and create data dashboards, graphs and visualisations Experience of databases, Power BI, MS Access, working knowledge of SQL and advanced Excel skills will more »

maintain curated business models to support accurate and insightful decision-making. Utilize SSRS, SSAS, and SSIS to design, develop, and implement robust reporting and analytics solutions. Conduct complex data analysis to identify trends, patterns, and insights that drive business improvement. Demonstrate expertise in Azure Synapse and Azure Data Factory/ more »

per week in the London office (near Canary Wharf area) to collaborate with your team. In this role you will take responsibility for data analytics and Power BI reporting for the entire finance function This will involve building complex financial data models in Excel, working with data sources in SQL more »

week in the London office to collaborate with your team (near Canary Wharf area). In this role you will take responsibility for data analytics and Power BI reporting for the entire finance function This will involve building complex financial data models in Excel, working with data sources in SQL more »

week in the London office to collaborate with your team (near Canary Wharf area). In this role you will take responsibility for data analytics and Power BI reporting for the entire finance function This will involve building complex financial data models in Excel, working with data sources in SQL more »

where you are from, we welcome your applications!!! The Role: We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for more »

our team should leverage to enable analytical and reporting capabilities for our business development team - Design and influence operational best practices for reporting and analytics to enable the team to scale - Prepare and deliver business reviews to the senior management team regarding progress and roadblocks - Work with engineering and the more »

engineering lifecycle across the business supporting the global data needs of various business functions. This role is a split between data engineering and data analytics and you will take a prominent role on a number of exciting projects. You will be joining a business that values its people at the more »

SQL Good understanding of Azure infrastructure (Subscriptions/Resource Groups, Virtual Networks, Kubernetes, Security options, etc) Good understanding of modern reporting platforms (dashboarding, advanced analytics, AI) An ability to explain complex problems in a simple and effective manner Strong peer and senior stakeholder management skills (including engagement with exec level more »

SQL Good understanding of Azure infrastructure (Subscriptions/Resource Groups, Virtual Networks, Kubernetes, Security options, etc) Good understanding of modern reporting platforms (dashboarding, advanced analytics, AI) An ability to explain complex problems in a simple and effective manner Strong peer and senior stakeholder management skills (including engagement with exec level more »

construct data products and services and integrate them into systems and business processes. Key duties: Implementing data flows to connect operational systems, data for analytics and business intelligence (BI) systems. Re-engineering manual data flows to enable scaling and repeatable use. Supporting the build of data streaming systems. Writing ETL more »

strategic mindset to align architectural solutions with business goals. Experience working with the Azure data technology stack, including Azure Data Factory, Azure SQL, Synapse Analytics, and PowerBI. A proactive, self-starting approach with excellent organizational skills, capable of identifying issues, presenting solutions, and leading to resolution. Professional certifications/qualifications more »

data manipulation Experience with Apache Spark and/or Databricks. Familiarity with BI visualization tools like Power BI Experience in managing end-to-end analytics pipelines (batch and streaming) Proficiency in root cause analysis and post-incident reporting in a production environment Excellent interpersonal skills Strong report writing, presentation, and more »

is a leading organisation in the risk industry, specialising in cyber risk assessment and management. They are at the forefront of innovation, using advanced analytics and proprietary models to redefine the understanding and mitigation of cyber risk. Their culture is dynamic and free from bureaucracy, fostering an environment where new more »

on data analysis to support strategic initiatives. - Extract and analyze data from business systems and databases such as CRM, SurveyMonkey, social media monitoring, Google Analytics, and PowerBI. - Provide user-friendly access to accurate and up-to-date information via innovative tools and platforms. Performance Monitoring: - Monitor and analyze the performance more »

solution architects and enterprise architects to align data architecture with overall IT and business strategies. Provide technical leadership and mentorship to data engineering and analytics teams, fostering a culture of innovation and continuous improvement. Stay up to date with emerging data technologies, trends, and best practices to drive innovation within more »

brands, and initiating their own social impact campaigns, the consultancy undertakes a variety of projects across different industries, with the goal of democratising advanced analytics and making it accessible to all.The company is entering an extremely exciting phase of the business as they prepare for a relaunch to trigger the more »

brands, and initiating their own social impact campaigns, the consultancy undertakes a variety of projects across different industries, with the goal of democratising advanced analytics and making it accessible to all. The company is entering an extremely exciting phase of the business as they prepare for a relaunch to trigger more »

organisationA background in Financial Services (e.g. banking, insurance, investment management)Hands-on experience in data management tooling (e.g. Collibra, Solidatus, Talend, Ataccama) and data analytics implementation (e.g. Power BI, Tableau, QlikView or Sense)A strong understanding of the difficulties, opportunities and regulations (e.g. ESG, LIBOR, BCBS-239, CCAR, GDPR, Consumer more »

The skills you’ll bring: We reckon you’ll have an M.Sc. or PhD in a field related to AI/ML or Data Analytics such as: Computer Science, Mathematics, Statistics, Physics, Biophysics, Computational Biology or Engineering Science You’ll have worked in an industry-setting, preferably biopharma/biotech more »