Senior Data Analyst

Employer

HCLTech (Client / Employer)

London (City of London), South East England, United Kingdom

Hybrid - 3 days/week onsite in London

8+ years

Investment Banking FIC experience (credit, rates, fx, or EM) is a prerequisite.

Candidate Data Privacy Notice: HCLTech’ s Candidate Data Privacy Notice.

• 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.
• Stakeholder Management: Direct interaction with business and technology teams; explain business impact of data issues clearly.

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

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

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

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

• 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 Click House; 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.