51 to 75 of 891 Permanent Analytics Jobs in the UK with Remote Work Options

skills Experience working with Azure Experience with data warehousing A degree in computer science or software engineering Experience with Azure resources such as Synapse analytics, Data factory, Logic app Experience in finance, insurance or energy sectors To apply or hear more about this role, please contact (url removed) or call more »

a Principal Data Engineer to the team based in London. Requirements of a Principal Data Engineer; Adeptness in utilising AWS and Azure data and analytics services (or their open-source equivalents), including but not limited to EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks. Strong experience in data engineering more »

the Data Analyst will include: Interpreting data, analysing results using statistical techniques and providing ongoing reports Developing and implementing databases, data collection systems, data analytics and other strategies Acquiring data from data sources and maintaining databases/data systems Identifying, analysing and interpreting trends or patterns in complex data sets more »

Long service awards; company nights out The role would suit best someone with a familiarity with statistics for analytical projects, some experience in predictive analytics and a good grasp of the principles of data visualisation. Strong experience with Power BI and advanced DAX is essential unless your work experience suggests more »

on site per week. Key Responsibilities: Support and enhance business reporting, modelling, and data integration systems. Maximize the value of enterprise information assets and analytics to provide better decision-making insights, closely aligning with business strategy. Assist in transitioning the business to improve in-application and Power BI reporting. Oversee more »

months successful tenure previous individuals have moved internally into Lead roles Quant Development High performance development and Algo Engineering teams Risk and Analytics teams Opportunity for internal mobility to APAC and East Coast U.S promoted. Desired background and skills 3+ years of exp. as a Software Engineer/Big Data more »

within the Dynamics development landscape. Design and implement data integration solutions between Dynamics and other systems using industry-standard tools. Utilise Dynamics 365's analytics capabilities to gain valuable insights into customer behaviour and trends. This includes utilising Power BI for data visualisation and analysis. Conduct thorough unit testing and more »

within the Dynamics development landscape. Design and implement data integration solutions between Dynamics and other systems using industry-standard tools. Utilise Dynamics 365's analytics capabilities to gain valuable insights into customer behaviour and trends. This includes utilising Power BI for data visualisation and analysis. Conduct thorough unit testing and more »

practical experience from internships, university projects, or similar research activities. Skills in scientific computing and programming (C++, Python). A foundational understanding of data analytics and visualization. An eagerness to learn new technologies and continuously improve. In return youll get Exposure to, and learn about, many aspects of the business more »

Responsibilities: Leadership and Strategy: Lead the data engineering team, setting standards and best practices. Contribute to the strategic direction of the data infrastructure and analytics capabilities. Data Architecture: Design, build, and optimize scalable data pipelines and architectures on Azure and Databricks. Collaboration: Work closely with data scientists, analysts, and other more »

industry? Join us! eStoreBrands is a fast growing technology company that specialises in developing B2B Software-as-a-Service ( SaaS ) data and e-commerce analytics tools for Fortune 500 brands . Our technology automatically monitors and analyses consumer products on thousands of e-retailers and marketplaces and is considered to more »

Solid understanding of relevant technical concepts and tools within the technology consulting domain, including but not limited to cloud computing, enterprise software solutions, data analytics, and IT infrastructure. Proficiency in Microsoft Office Suite and other relevant tools and platforms. Adaptability and Resilience: Ability to thrive in a fast-paced and more »

in primary, secondary and system level healthcare settings to connect health information, care providers and their populations. Our clinical and administrative systems, health data analytics, population health solutions, and information exchange platforms help providers to improve the quality, safety and efficiency of the healthcare they deliver. We enable clinicians and more »

its dynamic environment and innovative approach. We are seeking a talented BI Developer to join our Global Network Operations function, specifically within the Reporting & Analytics pillar. This team is pivotal in driving innovation, fostering an agile mindset, and ensuring a hands-on approach to analytic application design, from business requirements … service. The Role: You will be at the forefront of exploring Business Operations data, identifying opportunities for innovation, and applying BI and advanced Data Analytics capabilities to deliver data-centric business insights. Your role involves both application/project delivery and business as usual service delivery, working closely with business … and technical teams. Key Responsibilities: Application/Project Delivery: • Explore Business Operations data to identify opportunities for innovation and advanced Data Analytics applications. • Facilitate the resolution of complexities by collaborating with business and technical SMEs, Solution Architects, and other resources. • Manage the delivery of Proof of Concept projects and assist more »

Are you an experienced Senior Data Engineer ? Would you like to work for a fast growing business that specialises in Business Intelligence & Data Analytics ? Its a Hybrid working role and you will be based from either their London, Leeds, Manchester or Edinburgh office, typically 3 days a week from home more »

working in cross-functional teams. Excellent written and oral communication skills, capable of communicating complex technical ideas clearly and concisely. Experience with SQL, data analytics, and reporting is highly desirable. more »

solve business challenges and create opportunities. Contribute to the development of our clients in-house Machine Learning operations framework. Support the data science and analytics team in deploying pipelines. Coach and mentor the team to improve development standards. Key requirements: Strong hands-on experience with Databricks, Spark, SQL or Scala. more »

one of their data teams to become a more data-led business. The right person will take ownership of the PowerBI development across the analytics team and push for data-driven decision-making. The role is suited for a creative and independent individual who can effectively collaborate with multi-disciplinary more »

one of their data teams to become a more data-led business. The right person will take ownership of the PowerBI development across the analytics team and push for data-driven decision-making. The role is suited for a creative and independent individual who can effectively collaborate with multi-disciplinary more »

amounts of customer data, as well as help them make data driven decisions to deliver better products, service and relevance to consumers. Utilising advanced analytics tools like Dataiku, you will be responsible for extracting insights, building predictive models, and generating actionable recommendations to optimise customer experiences and drive business growth. more »

The Role: As a Risk Analyst, you will play a critical role in managing portfolio risk and supporting strategic growth, with Key responsibilities including: Analytics and Portfolio Management: Leading efforts to assess lending book risk, inform strategic decisions, and ensure robust monitoring processes. Data Science Integration and Reporting: Developing and more »

such as Python, SQL. Strong AWS experience Knowledge of Data Structures and Databases Knowledge of data privacy laws and compliance requirements. Experience with Data Analytics/algorithms would be nice to have but training will be provided for the right candidate Excellent communication and collaboration abilities. Desirable Experience with Typescript more »

the current monolith systems, making strategic technology recommendations for improvements and helping to deliver a long term strategic project to re-engineer the data analytics platform using modern technologies such as .Net Core, microservices and distributed systems engineering. Location/WFH Policy: You'll join a small group of accomplished more »

Implementation: Develop and execute cloud strategies for private/public clouds (AWS, Azure, GCP, etc.), including governance, IT department restructuring, and cloud financial management. • Analytics and Problem Solving: Modernize IT service delivery, enhance customer experiences, and solve complex problems with a big-picture approach. • Leadership: Build trust and advisory relationships more »

for data engineering tasks, including experience with Delta Lake, data processing, and optimization. In-depth knowledge of SAP HANA, including experience with data modelling & analytics, and with SAP Data Services for enterprise grade ETL workloads. Proficiency in data modelling, ETL development, and data warehousing concepts. Able to communicate complex issues more »