Senior Data Analyst

Experience – 8+ years

Hybrid – 3 days/week onsite in London

Must Have

• FIC / Front Office Exposure
• Experience with Fixed Income / Currencies / Sales / Trading data
• Worked closely with front‑office stakeholders

Data Architecture / Engineering Awareness

• Understanding of data pipelines, ETL, reporting layers
• Exposure to data platforms (DWH, cloud, big data)

Data Analysis & Root Cause Skills

• Hands‑on experience in analyzing large datasets
• Proven ability to identify data issues & trace root causes
• Experience in data lineage / traceability / reconciliation
• Familiar with data quality frameworks and controls

Stakeholder Management

• Direct interaction with business + technology teams
• Ability to explain business impact of data issues clearly

Your Key Responsibilities

• Lead deep data analysis: Analyse complex FIC sales datasets, identify data quality issues, trace lineage, and clearly explain root causes and business impact.
• Define resolution strategies: Translate analytical findings into clear, actionable plans and roadmaps that balance front‑office needs and technical constraints.
• Drive solution delivery: Work closely with engineers and product owners to ensure insights lead to effective changes in pipelines, reporting, and data consumption.
• Influence data architecture: Provide analysis‑driven input into platform and system design to support reliable analytics and future AI use cases.
• Enable analytics and AI: Ensure data is well understood, structured correctly, and fit for purpose, with clear visibility into quality, lineage, and limitations.
• Lead cross‑organisational alignment: Act as the senior focal point for FIC sales data issues, coordinating with front office, technology, data, and control teams.

Your Skills and Experience

• A strong, verifiable track record as a hands‑on Business Data Analyst, delivering meaningful outcomes through deep analysis of complex, high‑volume datasets and structured problem solving.
• Proven 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.
• Strong 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.

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