Senior Data Analyst

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion.

For more information on how we process your personal data, please refer to HCLTech’ s Candidate Data Privacy Notice . 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 Data Lineage & Data Quality 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 We are looking for individuals who demonstrate: 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.