176 to 200 of 2,404 Analytics Jobs in the UK

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 »

We are seeking a talented and experienced Technical Data Business Analyst within our Data & Analytics portfolio. As Product Manager/Business Analyst, you will be responsible for driving the delivery of data products within various workstreams in data and analytics portfolio. Your expertise in data analysis, business analysis, requirements elicitation … or data-driven solutions within Financial Services/Energy Trading or Energy domains. Minimum 5 years of work experience. of financial market data, data analytics, data modelling, data visualization are advantageous. understanding of data analysis and experience working with data analytics tools (incl. SQL/python), databases, and data visualization more »

and deliver meaningful results that positively transform the largest companies around the globe. About the Role We are seeking a highly skilled and motivated Analytics Engineer with a strong focus on data modeling and expertise in emerging technology. As an Analytics Engineer, you will play a critical role in collecting 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 »

Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C++, Java, SQL more »

Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java more »

Experience: IT-related degree or 3+ years’ industry experience; fresh graduates with interest considered. Skills: Familiarity with IoT, cloud services (AWS/Azure), data analytics, automotive standards, and Python programming preferred. Attributes: Strong communication, decision-making, organisational skills, attention to detail, proactive, enthusiastic, and flexible. more »

workloads and Generative AI applications Enhancing and managing the cloud-based Data Warehouse (Azure, Snowflake) Designing, building and deploying data pipelines to support advanced analytics and the development of Machine Learning algorithms and Generative AI (GenAi) applications Providing technology thought leadership and supporting the business in adoption of Machine Learning more »

robust data pipelines and workflows for Databricks best practices. - Maintain data integrity, security, and compliance with regulations like GDPR. - Manage data migration from legacy analytics data warehouses, data lakes, and ETL tools to Databricks within set deadlines. - Comfortable operating in all project phases, adjusting requirements, and supporting the transition from 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 »

enhance datasets, review data collection processes and identify data errors. Technical skills required for this role: SQL data visualisation techniques Sheets/Excel, Google Analytics/Tag Manager. Bash (or shell environments in general) cloud computing (e.g. GCP, Azure) Python/R (optional) Experience with Tableau, Looker or similar BI 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 »

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 »

a team to drive important business decisions, with strong experience of stakeholder management. What will this role look like? - Build Data Warehouses to facilitate analytics and insights. - Build data integration and transformation routines to target data stores using ETL toolsets. - Building data structures to facilitate data driven insights using BI 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 »

initiatives. Key Responsibilities: with stakeholders to understand business requirements and translate them into technical solutions. build, and maintain scalable data pipelines to support data analytics and machine learning applications. best practices for data management, including data quality assurance, data governance, and security. data workflows for performance, reliability, and cost efficiency. more »

practical approaches to data analysis Applying a broad range of techniques (A/B hypothesis testing, multivarate test,data exploration, data preparation, big data analytics, visualisations, statisticalanalysis, business analysis) for gatheringthe insights and identifying meaningfultrends in the data Generating tactical analysis to distilthe insights, identify opportunities & make recommendations Articulating trends 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 »

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 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 »

firm, working closely with PMs, Quant Analysts and Software Engineers in an agile, test-driven environment to support their technology infrastructure surrounding their core analytics library. Key Responsibilities will include: Taking ownership of technical products and projects surrounding day-to-day quantitative issues. Continuous exposure and daily interaction with the more »