1 to 5 of 5 Analytics Jobs in South Wales with Remote Work Options

insurers across Property & Casualty, Workers’ Compensation and Life markets the most comprehensive set of solutions, from core to complementary, including Reinsurance, Financial & Compliance, Data & Analytics, Digital, and Decision Management. Sapiens’ team of more than 5,000 employees operates through our offices in North America, the UK, EMEA and Asia Pacific. more »

across platforms including Google Ads, Bing Ads, Meta Ads, Twitter/X Ads, Snapchat and TikTok Ads. Good knowledge of managing tools including Google Analytics and GA4. What youll get in return Super flexible working environment, 1 day per week in the office (or more if youd like), 25 days more »

Do you want to work with cutting edge data and analytics technologies to help our clients unlock their data potential and value? Do you want to lead and mentor teams of expert technologists on exciting data projects? Do you want to work in an environment that embraces your drive to … Role We work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. more »

sharing sessions and sharing opinion on latest trends. Enable our clients to succeed with data by enabling strong data governance, harnessing value with advanced analytics and establishing operating models supporting self-service and data literacy. About You This is a senior role within our Data Advisory team and would suit … have broad knowledge across several data disciplines, backed by deep expertise and knowledge in a topic such as data governance, architecture, platforms, data engineering, analytics or data science. Excellent communication and interpersonal skills, with the ability to effectively engage with clients, understand their needs, and articulate recommendations. You can take 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 »