Senior Data Analyst

• Acting as the senior analytics business partner to one or more underwriting classes, proactively identifying where analytics can improve pricing, portfolio steering, renewal decisions and exposure management.
• Translating open-ended commercial questions into well-scoped analyses and dashboard requirements.
• Identifying practical opportunities to enhance the analytics workflow with AI tooling.
• Supporting the Data Analytics Manager in shaping external data analytical propositions.
• Applying and helping embed the team’s development lifecycle for BI and analytics assets, including robust source-control practices for Power BI content: PBIP / TMDL format, Git-backed repositories, feature branches, pull requests and meaningful commit history.
• Contributing to Power BI workspace governance; clear Dev / Test / Prod separation, deployment pipelines, dataset certification / endorsement, refresh monitoring and access management.
• Coaching analysts and BI developers on SQL, DAX, data modelling, visual design and engineering hygiene.
• Working closely with Data Engineering on changes to the semantic / curated layer and data marts.
• Delivering complex analytics work streams end-to-end; scoping, estimation, delivery, hand-over and post-implementation review.
• Working within an Agile framework; breaking down requirements into epics and user stories, contributing to backlog prioritisation with the Data Analytics Manager, and providing realistic estimates.

• 5-10 years’ experience in a data analytics or BI role, preferably in an insurance or finance environment.
• Advanced SQL, including query optimisation and working with the Azure data stack (Data Factory, Synapse / Fabric, SQL-based semantic layers).
• Advanced Power BI engineering skills: data modelling (star schemas), advanced DAX, Power Query / M, performance tuning and RLS, alongside sound engineering discipline, PBIP / TMDL source format, Git-based version control, pull-request review, and structured release, deployment and rollback processes.
• Proven ability to carry out peer review and QA of analytics work.
• Strong communication and stakeholder engagement skills, with a track record of turning ambiguous business problems into delivered analytical outcomes.

Desirable Requirements

• Experience working in a Lloyd’s syndicate, managing agent, London Market broker or specialty (re)insurer.
• Python for data analysis (pandas / notebooks).
• Hands-on experience applying AI / LLM tooling to analytics work.
• Experience with Microsoft Fabric, dbt, Azure DevOps / GitHub Actions, and data-quality tooling.

Altogether, this is a role for an experienced analytics professional who can operate as both a trusted commercial partner to the business and a hands-on technical leader within the analytics function. It will suit someone equally comfortable shaping strategy with underwriters and rolling up their sleeves on engineering discipline and mentoring.

We are recruiting for a Senior Data Analyst on behalf of one of the top performing Lloyd’s Syndicates.

The successful candidate will help guide the team through its shift from platform delivery (post-EDP) toward value-added analytics and commercial insight. The role contributes to building lasting data partnerships with the underwriting, claims and exposure management teams, so that analytics is embedded in day-to-day decision-making rather than delivered as isolated reports.

The holder will apply and role-model the technical standards the team works to: peer review, version control, documentation, testing and release management. They will contribute to the most complex analyses and help introduce new techniques, including the practical application of AI tools within the analytics workflow.