At a Glance
- Tasks: Lead analytics projects and deliver insights that drive strategic decisions in finance.
- Company: Join a globally recognised financial services organisation with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative team culture that values data-driven thinking.
- Why this job: Make a real impact on high-stakes projects in Capital Markets.
- Qualifications: 4-7 years in data analytics, strong BI skills, and leadership experience.
The predicted salary is between 60000 - 75000 £ per year.
The Senior Data Analyst within CSC Global Financial Services (GFS)'s Insights team will own the delivery of analytics solutions that drive strategic decision-making across the business. This is a hands-on, high-impact role requiring expertise in BI platforms, SQL - combined with the leadership ability to influence stakeholders, and drive data governance standards.
Key Responsibilities
- Data Analysis & Insights: Lead complex, cross-functional data analyses to uncover strategic insights that inform commercial, operational, and financial decisions across the Capital Markets business unit. Independently scope, design, and deliver analytics projects from requirements gathering through to executive presentation - with minimal supervision.
- Dashboard & Reporting Architecture: Architect, build, and govern a suite of Domo dashboards and reports serving Leadership, Commercial, Product Operations, and Finance - ensuring scalability, performance, and data accuracy. Define and enforce dashboard standards, naming conventions, and best practices across the Insights team.
- Data Quality & Governance: Define and enforce data quality standards, validation frameworks, and reconciliation processes across all analytics outputs. Document data definitions, lineage, and business logic to support audit readiness and team scalability.
- Stakeholder Engagement & Leadership: Serve as a trusted analytics partner to senior stakeholders across Product Operations, Commercial, Finance, and Leadership - translating complex data into clear, executive-ready narratives. Drive alignment on analytics priorities, manage competing stakeholder requests, and communicate timelines and trade-offs effectively.
Required Skills & Experience:
- 4-7 years of progressive experience in data analytics, business intelligence, or a related field.
- Demonstrated track record of leading analytics projects end-to-end in a fast-paced, cross-functional environment.
- Prior experience in financial services, capital markets, or fund administration is a strong plus.
- Proficiency in Domo - including DataFlows, Beast Mode, Domo Everywhere, and connector management. Power BI or Tableau considered in lieu.
- Familiarity with data warehousing concepts, ETL pipelines, and enterprise data integration (SAP, NetSuite, Denodo a plus).
- Exceptional ability to present complex data findings to non-technical and executive audiences with clarity and confidence.
- Strong project ownership mindset - able to manage multiple workstreams, set priorities, and deliver without heavy oversight.
Why Join Our Team?
- Lead analytics strategy for a high-visibility business unit within a globally recognized financial services organization.
- Gain hands-on exposure to cutting-edge BI and Agentic AI capabilities within Domo, shaping how the team uses AI to accelerate insight delivery.
- Work on strategic, high-stakes projects with direct influence on Capital Markets revenue and operational decisions.
- Join a collaborative, innovation-driven team that invests in professional growth and values data-driven thinking at every level.
If you are a senior analytics professional who thrives on turning complex data into strategic impact, we want to hear from you.
Senior Data Analyst in London employer: CSC
Join a leading global financial services organisation located in the vibrant Canary Wharf, where you will play a pivotal role as a Senior Data Analyst in a collaborative and innovation-driven team. Enjoy a hybrid working model that promotes work-life balance, alongside opportunities for professional growth and development in cutting-edge BI technologies. With a focus on strategic decision-making and data governance, this position offers the chance to make a significant impact on high-stakes projects that drive revenue and operational success.
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We think this is how you could land Senior Data Analyst in London
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We think you need these skills to ace Senior Data Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at CSC. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at CSC
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
