City of London, London, United Kingdom Hybrid / WFH Options
Talent Solutions
our TM solutions (digital coaching, LXP, assessment platform) as well as regional or national growth ingredients (e.g., Leading with Impact framework, Data consolidation and visualisation, success profiles, team development, Talent acceleration development programmes). KEY RESPONSIBILITIES: You will contribute to other essential aspects of the bid proposal, such as pricing more »
City of London, London, United Kingdom Hybrid / WFH Options
Sparta Global Limited
team at Sparta Global. About the Job You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services, Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer more »
City of London, London, United Kingdom Hybrid / WFH Options
Adecco
Azure, synapse, Databricks, SQL, Python and DataOps. This is a fantastic opportunity for a Data Engineer to gain exposure to different business areas from Visualisation, Machine Learning/AI and governance. Alongside this my client is going to be going through a cloud migration to Azure. Responsibilities : Collaborate with cross more »
City of London, London, United Kingdom Hybrid / WFH Options
Searchability (UK) Ltd
under pressure, delivering high-quality, accurate projects on time with meticulous attention to detail. Proficient in using Microsoft Office tools for analysis, presentation, and visualization in a collaborative environment (e.g., Excel, PowerPoint, Word, SharePoint). TO BE CONSIDERED… Please either apply by clicking online or emailing me directly . By more »
City of London, London, United Kingdom Hybrid / WFH Options
Adecco
Collect, analyze, and interpret data related to student enrollment, retention, academic performance, financial aid, and other key performance indicators. Utilize statistical techniques and data visualization tools to present findings in a clear and actionable manner. Identify trends, patterns, and anomalies in data to inform decision-making processes. Process Improvement: Collaborate more »
