At a Glance
- Tasks: Analyse data to drive insights and support decision-making in a dynamic environment.
- 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 culture with opportunities to mentor and lead initiatives.
- Why this job: Make an impact by working on cutting-edge data projects in finance and technology.
- Qualifications: 8+ years of experience in data analysis with strong communication skills.
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 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 employer: HCLTech
HCLTech is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and employees are empowered to grow. With a strong focus on professional development, our London office offers unique opportunities for mentorship and collaboration within a diverse team of experts in technology and data analysis. Join us to be part of a global leader in technology services, where your contributions will directly impact industry solutions across various sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at HCLTech or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since you're aiming for a Senior Data Analyst role, make sure you can confidently discuss data pipelines, ETL processes, and even throw in some AI and Machine Learning concepts to impress the interviewers.
✨Tip Number 3
Showcase your experience with real-world examples. When discussing your past roles, highlight specific projects where you worked closely with front-office stakeholders or led analysis-driven initiatives. This will demonstrate your hands-on experience and leadership skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with Fixed Income, Currencies, and any relevant data platforms. We want to see how your skills match what we're looking for!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work that show your expertise in data analysis, scripting languages like Python, and your understanding of AI and Machine Learning concepts.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you’re passionate about this role and how your experience aligns with our needs. We love seeing enthusiasm and a clear understanding of the position.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at HCLTech
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data analysis, especially in relation to Fixed Income and Currencies. Brush up on your understanding of data pipelines, ETL processes, and how they relate to the role. Being able to discuss these topics confidently will show that you’re not just familiar with the concepts but can apply them effectively.
✨Showcase Your Stakeholder Management Skills
Since this role involves working closely with front-office stakeholders, prepare examples of how you've successfully communicated complex data issues to both technical and non-technical audiences. Think about times when your communication made a significant impact on a project or decision-making process.
✨Demonstrate Leadership Experience
Highlight your experience in leading analysis-driven initiatives and mentoring junior team members. Be ready to discuss specific instances where you’ve contributed to team capability building. This will illustrate your ability to take charge and foster growth within a team setting.
✨Familiarise Yourself with AI and Machine Learning
Given the emphasis on AI and machine learning in the job description, brush up on how data quality, structure, and lineage affect analytical outcomes. Prepare to discuss any relevant projects or experiences where you’ve applied these concepts, as it will set you apart from other candidates.
