4 of 4 Permanent Lead Data Analyst Jobs in Central London

Lead Data Analyst | Commodities & Energy Trading - Front office | London, Hybrid | up to £115k + Bonus, Benefits Lead Data Analyst A leading global asset manager, responsible for assets under management across energy, precious metals, agriculture, FX, absolute return, multi-asset and specialist investment strategies. Is looking to add to their Data team, by hiring … a Lead Data Analyst, coming from a financial services/Trading House background with knowledge around Risk, regulations, Compliance, Trade Surveillance etc... The Lead Data Analyst will join the Data Centre of Excellence, encompassing Data Analysis, Data Architecture, Data Intelligence and Machine Learning experts. This Data team helps the … Investment Management House make use of their data to help make investment and risk decisions. Lead Data Analyst role offers a unique opportunity to lead and shape the organisation’s data strategy, processes, and governance. As a hands-on leader, you will mentor team members while overseeing the design and implementation of data More ❯

Lead Data Analyst – Data & Analysis Join us on our journey At Nando’s, our purpose is simple: to Create Lasting Happiness – for our people, our customers, and the communities we’re part of. Born in Johannesburg and growing worldwide, we’ve always been about more than flame-grilled PERi-PERi chicken. We’re about warmth, belonging … and creating experiences that matter – for our teams, for our guests, and for you. Now, we’re building exciting new digital and data capabilities. Our tech team has expanded rapidly over the last five years, and we’re bringing fresh ideas and innovation to the restaurant industry. This is your chance to help shape that journey. The role We … re looking for a Lead Data Analyst to join our Data & Analysis team. This role isn’t just about crunching numbers – it’s about using data to tell stories, spark ideas, and make real impact. You’ll guide how we use data to make decisions, help shape our data culture, and mentor others More ❯

About the Role You'll lead the data support function for the Portfolio Manager Support team in London, working alongside global counterparts in the US. The team is responsible for ingesting, transforming, and maintaining datasets used across the investment lifecycle, with a strong focus on automation, process improvement, and user experience. This is a hybrid role combining technical … oversight, stakeholder management, and hands-on problem-solving. You'll interface directly with PMs, analysts, and engineers - ensuring data flows smoothly, requests are handled efficiently, and the team delivers consistent, high-quality support. Key Responsibilities Lead and mentor a team of data analysts supporting front office users across asset classes Oversee data ingestion, transformation, and delivery … Python, SQL, and cloud-native tools Manage service levels and expectations across a fast-paced, high-demand environment Collaborate with infrastructure and engineering teams to ensure seamless integration of data and systems Act as a point of escalation for complex data issues and drive root cause analysis Work with data vendors (e.g., Bloomberg, FactSet, Refinitiv) to manage More ❯

About the Role You'll lead the data support function for the Portfolio Manager Support team in London, working alongside global counterparts in the US. The team is responsible for ingesting, transforming, and maintaining datasets used across the investment lifecycle, with a strong focus on automation, process improvement, and user experience. This is a hybrid role combining technical … oversight, stakeholder management, and hands-on problem-solving. You'll interface directly with PMs, analysts, and engineers - ensuring data flows smoothly, requests are handled efficiently, and the team delivers consistent, high-quality support. Key Responsibilities Lead and mentor a team of data analysts supporting front office users across asset classes Oversee data ingestion, transformation, and delivery … Python, SQL, and cloud-native tools Manage service levels and expectations across a fast-paced, high-demand environment Collaborate with infrastructure and engineering teams to ensure seamless integration of data and systems Act as a point of escalation for complex data issues and drive root cause analysis Work with data vendors (e.g., Bloomberg, FactSet, Refinitiv) to manage More ❯