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For Companies At a Glance
- Tasks: Transform data into strategic insights and drive decision-making in finance.
- Company: Globally recognised investment firm managing billions in capital.
- Benefits: Collaborative culture, career development, and impactful work.
- Why this job: Shape the future of data analytics with cutting-edge technology.
- Qualifications: 5+ years in analytics, expert in Databricks, Python, SQL.
- Other info: Dynamic environment with opportunities for innovation and growth.
The predicted salary is between 36000 - 60000 £ per year.
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.
Senior Data Analyst Finance employer: McCabe & Barton
Contact Detail:
McCabe & Barton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst Finance
✨Tip Number 1
Network like a pro! Reach out to current employees at the firm through LinkedIn or industry events. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data visualisations and projects. When you get that interview, we want to see how you can turn data into insights that drive decisions.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your Databricks, Python, and SQL skills. We recommend mock interviews with friends or using online platforms to simulate the experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in being part of our team and shaping the future of data analytics.
We think you need these skills to ace Senior Data Analyst Finance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Analyst. Highlight your experience with Databricks, Python, and SQL, and don’t forget to showcase any relevant projects that demonstrate your analytical skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data analytics and how your background aligns with our mission at StudySmarter. Be specific about how you can contribute to our team.
Showcase Your Projects: If you've worked on any data visualisation or automation projects, make sure to include them in your application. We love seeing real-world examples of your work, especially if they involve tools like QlikSense or advanced Excel.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at McCabe & Barton
✨Know Your Data Tools Inside Out
Make sure you’re well-versed in Databricks, Python, SQL, and Excel. Prepare to discuss specific projects where you've used these tools to drive insights or improve processes. Being able to share concrete examples will show your expertise and how you can add value.
✨Showcase Your Visualisation Skills
Since the role involves creating compelling visualisations, be ready to talk about your experience with QlikSense or similar BI platforms. Bring along examples of dashboards you've created and explain how they helped inform decision-making. This will demonstrate your ability to translate data into actionable insights.
✨Understand the Business Context
Research the investment firm and its operations. Understand their strategic goals and how data analytics plays a role in achieving them. This knowledge will help you tailor your responses and show that you're not just a tech whiz but also someone who understands the bigger picture.
✨Prepare for Collaborative Scenarios
This role emphasises teamwork across various departments. Be prepared to discuss how you've successfully collaborated with finance, IT, or other teams in the past. Highlight your project management skills and how you’ve navigated cross-team dynamics to achieve results.
