Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Analyst Finance

McCabe & Barton
City of London
3 days ago
Create job alert

Senior Data Analyst - Data Intelligence & Analytics Finance


Transform data into strategic advantage at one of the world's leading Investment firms

Are you ready to shape the future of data analytics? Join a globally recognised investment firm, managing billions in capital commitments and pioneering innovative liquidity solutions.

The Opportunity

Step into a dynamic role within the Data Intelligence & Analytics team, where you'll be instrumental in delivering an extensive transformation programme. Working alongside our Finance, Front Office and IT teams, you'll leverage cutting-edge technology to optimize operations and drive strategic decision-making across our multi-billion-dollar funds.


What makes this role exceptional:

  • Collaborative, entrepreneurial environment with a proven track record of career development
  • Significant impact on business strategy through data-driven insights
  • Part of a strong, mutually supportive team in a non-hierarchical structure

Key Responsibilities

Solution Design & Project Management

  • Lead as a Databricks technical expert, driving process improvement and automation
  • Partner with business domain expert to understand their data requirements and design fit-for-purpose data products to solve complex challenges
  • Design scalable data solutions supporting ambitious growth plans

Data Intelligence & Visualisation

  • Create compelling visualisations and interactive dashboards using QlikSense
  • Drive data literacy initiatives across the organization
  • Present insights that inform senior-level decision making

Technology Innovation

  • Assess and integrate market-leading technologies
  • Ensure optimal system compatibility and strategic technology adoption
  • Build comprehensive understanding of emerging tools and platforms

What You'll Bring

Essential Experience:

  • University degree (2:1 minimum) in analytical field
  • 5+ years in analytics/intelligence function
  • Expert-level: Databricks, Python, SQL, Excel, JavaScript
  • Advanced Excel skills including macro development
  • Experience with Qlik or similar BI platforms
  • Proven track record in cross-team project management
  • Passion for technology and automation

Highly Valued:

  • Investment Management exposure
  • Senior stakeholder management experience
  • AI technologies experience
  • Power BI knowledge
  • Outsource provider management

Ready to Make Your Mark?

This is more than a role - it's your opportunity to shape the future of data analytics. You'll work with cutting-edge technology, drive meaningful change, and develop expertise in one of finance's most dynamic sectors.

Perfect for: Analytics professionals seeking to make a strategic impact in a fast-paced, collaborative environment where innovation thrives and careers flourish.

Related Jobs

View all jobs

Senior Data Analyst Finance

Senior Finance & Data Analyst (12-Month FTC)

Finance Systems Senior Data Analyst (SAP Data Sphere / SAC)

Senior Data Analyst - FTC - Buckinghamshire district

Senior Data Analyst, Marketing Innovation (Bangkok-based, relocation provided)

Senior Data Analyst

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.