Data Analyst

Overview

Cclfg is hiring a Data Analyst to join the investment team in London, United Kingdom. The role involves working with portfolio managers, analysts, and engineering teams to build a next-generation artificial intelligence-enabled research and decision-support platform. The position operates in a collaborative and entrepreneurial environment focused on developing innovative solutions that connect research, investment, and portfolio data. Visa sponsorship may be offered for suitable candidates.

Requirements

Applicants need a builder mindset focused on rapidly developing, testing, and iterating practical solutions. The position requires strong programming skills in Python and SQL for application development, automation, or data-focused projects, alongside a passion for artificial intelligence technologies including large language models, artificial intelligence agents, and application development. Candidates must possess problem-solving abilities, a willingness to learn new technologies, and the ability to work independently with minimal supervision. Experience is expected with Microsoft data and analytics platforms such as Microsoft Fabric, Azure, and Power BI, as well as knowledge of SharePoint, Microsoft Graph, Microsoft 365 integrations, and enterprise data ecosystems. Additional qualifications include an understanding of data engineering concepts such as extraction, transformation, and loading pipelines, database design, application programming interfaces, cloud services, and application development. Familiarity with modern artificial intelligence development tools including application programming interface models, retrieval-augmented generation architectures, vector databases, and agent frameworks is necessary. Candidates should also have experience with software development best practices such as Git, testing, artificial intelligence coding assistants, collaboration, and continuous learning.

What You Get

The expected base salary range for this position is 55000 to 70000 GBP per year. The organization provides flexible work practices to support work-life balance, along with social events, volunteering opportunities, and corporate social responsibility commitments. Employee development is supported through meaningful work, continuous learning budgets, paid study days, and assistance for professional designations. Total compensation includes retirement savings support, wellness credits, enhanced parental leave, and comprehensive health benefits.