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For Companies At a Glance
- Tasks: Lead data strategy and deliver actionable insights across business functions.
- Company: Join a fast-growing fintech reshaping the payments landscape.
- Benefits: Enjoy hybrid working, competitive salary, annual bonus, and 25 days holiday plus your birthday off.
- Why this job: Make a real impact by driving data-informed decisions in a dynamic environment.
- Qualifications: Advanced data analysis skills, strong SQL/NoSQL experience, and excellent communication abilities required.
- Other info: Opportunity to collaborate with senior leadership and contribute to innovative projects.
The predicted salary is between 43200 - 72000 £ per year.
I'm currently working with a fast-growing fintech organisation that’s reshaping the payments landscape. They’re looking for a Senior Data Analyst to lead their data strategy and play a pivotal role in driving data-informed decision-making across all business functions.
The Opportunity: This is a high-impact role where you’ll report directly to the CTO and collaborate across key teams—Finance, Risk & Compliance, Product, and Commercial. You'll lead the delivery of accurate, timely, and actionable insights, and champion a data-centric approach to strategic planning and operational effectiveness.
Key Responsibilities:
- Develop and drive the data strategy in alignment with business priorities.
- Lead end-to-end analytics projects and manage stakeholder expectations across departments.
- Design and implement data processes, ensuring data integrity and reporting accuracy.
- Translate complex data into clear insights and recommendations for leadership.
- Support compliance and fraud teams with alert system configuration.
- Contribute to CRM development and enhancements alongside the Commercial and Operations teams.
- Collaborate with senior leadership to embed a systems-based, data-first mindset.
Essential Skills & Experience:
- Advanced data analysis skills: cleansing, visualisation, trend & pattern analysis.
- Strong SQL and NoSQL skills, with solid experience writing queries.
- Exceptional attention to detail and critical thinking abilities.
- Comfortable communicating technical concepts to non-technical audiences.
- Able to prioritise and manage multiple projects effectively.
- Highly adaptable, with a proactive, solutions-focused mindset.
Desirable:
- Experience in fintech, particularly in card issuing, processing, or challenger banking.
- Familiarity with Featurespace or AMDL event management language.
- Exposure to AI/ML models in data analytics.
What’s in it for you? Alongside a competitive salary, the package includes:
- Annual bonus scheme
- Private medical insurance & healthcare cash plan
- Pension contributions
- Life assurance & income protection
- 25 days holiday + public holidays + your birthday off
- Hybrid working and strong work-life balance focus
Senior Data Analyst | Cambridge | Fintech employer: SoCode Limited
Contact Detail:
SoCode Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst | Cambridge | Fintech
✨Tip Number 1
Familiarise yourself with the fintech landscape, especially in areas like card issuing and processing. Understanding industry trends and challenges will help you speak confidently about how your skills can contribute to the company's goals.
✨Tip Number 2
Brush up on your SQL and NoSQL skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source initiatives that allow you to showcase your data analysis capabilities.
✨Tip Number 3
Prepare to discuss your experience with translating complex data into actionable insights. Think of specific examples where your analysis led to significant business decisions or improvements, as this will demonstrate your impact.
✨Tip Number 4
Network with professionals in the fintech sector, particularly those involved in data analytics. Engaging in conversations can provide valuable insights and may even lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Senior Data Analyst | Cambridge | Fintech
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your advanced data analysis skills, SQL and NoSQL experience, and any relevant fintech background. Use specific examples to demonstrate your ability to lead analytics projects and manage stakeholder expectations.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your experience aligns with their data strategy and your ability to translate complex data into actionable insights. Mention your adaptability and solutions-focused mindset.
Showcase Relevant Projects: If you have worked on projects that involved data cleansing, visualisation, or AI/ML models, be sure to include these in your application. Highlight your role in these projects and the impact they had on decision-making.
Prepare for Technical Questions: Anticipate technical questions related to data processes and analytics during the interview. Be ready to discuss your experience with data integrity, reporting accuracy, and how you communicate technical concepts to non-technical audiences.
How to prepare for a job interview at SoCode Limited
✨Showcase Your Data Skills
Be prepared to discuss your advanced data analysis skills in detail. Highlight specific projects where you've successfully cleansed, visualised, and analysed data trends. This will demonstrate your capability to lead analytics projects effectively.
✨Communicate Clearly
Since you'll be translating complex data into insights for non-technical audiences, practice explaining technical concepts in simple terms. This will show your ability to bridge the gap between data and decision-making.
✨Demonstrate Stakeholder Management
Prepare examples of how you've managed stakeholder expectations in previous roles. Discuss how you prioritised and delivered on multiple projects, as this is crucial for collaborating across various departments.
✨Emphasise Adaptability and Problem-Solving
Highlight your proactive, solutions-focused mindset. Share instances where you've adapted to changes or solved unexpected challenges, especially in a fast-paced environment like fintech.
