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- Tasks: Lead and scale the Product Analytics function in a dynamic FinTech environment.
- Company: A leading FinTech company based in Central London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of lending products with data-driven insights and strategic leadership.
- Qualifications: Expertise in lending products, team leadership, and data manipulation skills.
- Other info: Join a collaborative team focused on innovation and impactful decision-making.
The predicted salary is between 43200 - 72000 £ per year.
A leading FinTech company in Central London is looking for a Head of Product (Data) Analytics to scale their Product Analytics function. The ideal candidate will have deep knowledge of lending and credit products, strong team leadership experience, and technical expertise in data manipulation. This role involves setting strategic directions, rebuilding analytics teams, and partnering with cross-functional stakeholders to drive data-driven decision-making.
Head of Product Analytics (Data) – Hybrid London FinTech employer: Wave Talent
Contact Detail:
Wave Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Product Analytics (Data) – Hybrid London FinTech
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space, especially those who work in product analytics. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio that highlights your experience with lending and credit products. Use real examples of how you've driven data-driven decisions in previous roles to impress potential employers.
✨Tip Number 3
Be proactive! Don’t just wait for job postings. Reach out directly to companies you admire, like the one looking for a Head of Product Analytics. Express your interest and share how you can add value to their team.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, applying directly shows your enthusiasm and commitment to joining the team.
We think you need these skills to ace Head of Product Analytics (Data) – Hybrid London FinTech
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Head of Product Analytics. Highlight your experience with lending and credit products, as well as any leadership roles you've held. We want to see how your background aligns with our needs!
Showcase Your Technical Skills: Don’t shy away from flaunting your technical expertise in data manipulation. Include specific tools or methodologies you’ve used in past roles. This will help us understand how you can contribute to our analytics function.
Highlight Team Leadership Experience: Since this role involves rebuilding analytics teams, share examples of how you've successfully led teams in the past. We’re looking for someone who can inspire and guide others, so let that shine through!
Engage with Cross-Functional Collaboration: Illustrate your experience working with different stakeholders. We value data-driven decision-making, so mention any projects where you partnered with other teams to achieve results. Apply through our website to make sure we see your application!
How to prepare for a job interview at Wave Talent
✨Know Your Data Inside Out
Make sure you have a solid understanding of lending and credit products. Brush up on the latest trends in FinTech and be ready to discuss how data analytics can drive product decisions. This will show your expertise and passion for the industry.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led teams in the past. Think about specific challenges you faced and how you motivated your team to overcome them. This will demonstrate your capability to rebuild analytics teams effectively.
✨Be Ready for Technical Questions
Expect questions that dive into your technical expertise in data manipulation. Familiarise yourself with common tools and techniques used in product analytics, and be prepared to discuss how you've applied them in real-world scenarios.
✨Engage with Cross-Functional Collaboration
Think of examples where you've partnered with other departments to drive data-driven decision-making. Be ready to discuss how you can bridge gaps between teams and ensure everyone is aligned towards common goals.
