Data Analyst (FIC Sales Technology)

This role sits within our newly formed FIC Sales Technology team and offers significant room for growth. The initial focus is hands on: analysing front-office sales data, understanding both data flows and how datasets are joined across systems, and defining practical strategies to address issues that affect FIC sales teams. You will have strong domain knowledge and the ability to work across organisational boundaries to solve complex, cross-system data problems. It is a senior individual contributor position suited to someone comfortable with ambiguity, detailed analysis, and evidence-driven problem solving. The core of the role is analysis, problem solving, and shaping strategy. You will also support the development of junior team members within a collaborative, delivery-focused environment.

Your key responsibilities:

• Analysing complex FIC sales datasets, identifying data quality issues, tracing lineage, and clearly explaining root causes and business impact.
• Translating analytical findings into clear, actionable plans and roadmaps that balance front-office needs and technical constraints.
• Working closely with engineers and product owners to ensure insights lead to effective changes in pipelines, reporting, and data consumption.
• Providing analysis-driven input into platform and system design to support reliable analytics and future AI use cases.
• Ensuring data is well understood, structured correctly, and fit for purpose, with clear visibility into quality, lineage, and limitations.
• Acting as the senior focal point for FIC sales data issues, coordinating with front office, technology, data, and control teams.

Your skills and experience:

• Track record as a hands-on Business Data Analyst, delivering meaningful outcomes through deep analysis of complex, high-volume datasets and structured problem solving.
• Experience with front-office investment-banking data and strong Fixed Income & Currencies domain expertise, with solid understanding of sales workflows enabling clear interpretation of data issues in business context.
• Understanding of data architecture and data-modelling principles, combined with advanced experience querying, exploring, and investigating large-scale datasets using technologies such as Oracle, KDB, or ClickHouse; familiarity with scripting languages (e.g., Python) is also beneficial.
• Working knowledge of AI and Machine Learning concepts, particularly how data quality, structure and lineage affect analytical and AI-driven outcomes.
• Experience leading analysis-driven initiatives, mentoring junior team members, and contributing to team capability building.
• Excellent communication and stakeholder management skills, with the ability to clearly explain complex data issues, findings and recommendations to both technical and non-technical audiences.

How we’ll support you:

• Training and development to help you excel in your career.
• A culture of continuous learning to aid progression.
• A range of flexible benefits that you can tailor to suit your needs.
• We value diversity and as an equal opportunities’ employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards).