At a Glance
- Tasks: Lead deep data analysis and drive solution delivery for complex datasets.
- Company: Join HCLTech, a global leader in technology with a diverse workforce.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to mentor and build team capabilities.
- Why this job: Make a real impact by influencing data architecture and enabling analytics.
- Qualifications: 8+ years of experience in data analysis with strong front-office exposure.
The predicted salary is between 60000 - 80000 € per year.
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.
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.
Senior Data Analyst in London employer: HCLTech
HCLTech is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among its 219,000+ global workforce. With a strong focus on employee growth, HCLTech provides ample opportunities for professional development and mentorship, particularly in the vibrant city of London, where the hybrid work model allows for a balanced approach to work and life. Joining HCLTech means being part of a forward-thinking company at the forefront of technology, where your contributions directly impact industry-leading solutions across various sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at HCLTech. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your hands-on experience with data analysis and problem-solving. Share specific examples of how you've tackled complex datasets and improved data quality.
✨Tailor Your Approach
Before any interview, do your homework on HCLTech and the role. Understand their data architecture and how your skills in FIC and stakeholder management can add value. Tailoring your pitch shows you're genuinely interested!
✨Apply Through Our Website
Don't forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're proactive and serious about joining the team.
We think you need these skills to ace Senior Data Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with FIC, data analysis, and stakeholder management. We want to see how your skills match what we're looking for!
Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Use specific examples of how you've tackled data issues or improved processes. This helps us see the impact you've made in previous roles.
Be Clear and Concise:When writing your application, be clear and concise. Avoid jargon unless it's relevant to the role. We appreciate straightforward communication that gets to the point, especially when explaining complex data issues.
Apply Through Our Website:We encourage you to apply through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at HCLTech
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of Fixed Income and Currencies data. Brush up on your experience with sales workflows and be ready to discuss how you've tackled data quality issues in the past. This will show that you can connect your analytical skills to real-world business impacts.
✨Prepare for Stakeholder Scenarios
Since you'll be interacting with both business and technology teams, think of examples where you've successfully communicated complex data issues. Prepare to explain how you’ve translated analytical findings into actionable plans, as this will demonstrate your stakeholder management skills.
✨Showcase Your Technical Skills
Be ready to discuss your hands-on experience with data platforms like Oracle or KDB. If you have familiarity with scripting languages like Python, highlight that too! They’ll want to see how you can leverage these tools to drive solution delivery and influence data architecture.
✨Demonstrate Problem-Solving Abilities
Think of specific instances where you identified data issues and traced their root causes. Be prepared to walk through your thought process and the resolution strategies you implemented. This will showcase your analytical mindset and ability to lead initiatives effectively.
