Head of Product (Data) Analytics
Head of Product (Data) Analytics

Head of Product (Data) Analytics

Full-Time 90000 - 210000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead and scale the Product Analytics function for innovative financial products.
  • Company: Join a mission-driven FinTech scale-up transforming SME lending solutions.
  • Benefits: Competitive salary, bonuses, shares, and flexible office days in Central London.
  • Why this job: Make a real impact on product innovation in a high-growth environment.
  • Qualifications: Experience in lending products, analytics team leadership, and strong technical skills.
  • Other info: Dynamic role with opportunities to shape the future of financial products.

The predicted salary is between 90000 - 210000 £ per year.

Salary: up to ~£150k+ up to 22.5% bonus+ annual shares allocation (in a publicly listed company)

Location: Central London (2-3 office days/week)

We’re looking for an experienced Data leader to scale a Product Analytics function for high-growth financial products. Join one of the most successful FinTechs to come out of the UK - this mission-driven scale-up helps SMEs thrive with innovative credit products and lending solutions. Transitioning into new product lines, they are hiring a Head of Product (Data) Analytics to rebuild and lead the function at a pivotal growth stage for the business.

What you’ll do:

  • Set the strategic direction for Product Analytics across new product lines (including credit cards)
  • Rebuild and lead a team of analysts and analytics engineers - currently split into 3 squads, all with their respective Leads/Managers
  • Define what “good” looks like for analytics and data products
  • Act as a key partner to the VP of Data on platform, architecture and infra decisions
  • Operate as a player-coach, comfortable whiteboarding solutions as well as occasionally being hands-on when needed to lead by example
  • Partner with cross-functional stakeholders across product, engineering, risk, finance and marketing to embed data-driven decision-making
  • Develop frameworks for experimentation, analysis and attribution that support product optimisation
  • Drive insights that directly influence product innovation and business planning

Must have requirements:

  • Deep knowledge of lending/credit products (credit card experience is highly desirable).
  • Strong track record building and scaling analytics teams in fast-growing tech or FinTech environments.
  • Team building and leadership experience, including line managing other managers.
  • Expertise in product analytics, experimentation and measurement with tangible business impact.
  • Strong commercial understanding of LTV, pricing, churn and forecasting.
  • Technical hands-on competency, particularly around data manipulation and analysis, including strong scripting/coding skills (and the ability to coach others) in SQL, Python and AWS.

Head of Product (Data) Analytics employer: Wave Talent

Join a dynamic and mission-driven FinTech scale-up in Central London, where you will have the opportunity to lead and shape the Product Analytics function for innovative financial products. With a strong focus on employee growth, collaborative work culture, and competitive benefits including a substantial salary, bonuses, and shares allocation, this company is dedicated to fostering an environment where your contributions directly impact the success of SMEs. Embrace the chance to work alongside talented professionals in a vibrant city, all while driving meaningful change in the financial landscape.
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Contact Detail:

Wave Talent Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Head of Product (Data) Analytics

Tip Number 1

Network like a pro! Reach out to connections in the FinTech space, especially those who work at companies you're interested in. A friendly chat can lead to insider info and even referrals.

Tip Number 2

Show off your skills! Prepare a portfolio or case studies that highlight your experience in product analytics and team leadership. This will help you stand out during interviews and showcase your hands-on competency.

Tip Number 3

Be ready to discuss your vision! When you land an interview, come prepared with ideas on how you would set the strategic direction for Product Analytics. This shows you're not just a fit for the role, but also passionate about driving growth.

Tip Number 4

Apply through our website! We make it easy for you to connect with us directly. Plus, it shows you're genuinely interested in being part of our mission-driven team.

We think you need these skills to ace Head of Product (Data) Analytics

Product Analytics
Team Building
Leadership
Data Manipulation
Data Analysis
SQL
Python
AWS
Experimentation
Measurement
Commercial Understanding
LTV (Lifetime Value)
Pricing Strategy
Churn Analysis
Forecasting

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience in building and scaling analytics teams, especially in FinTech. We want to see how your skills align with our needs!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and product analytics, and explain why you’re excited about joining us at StudySmarter. Let us know how you can contribute to our mission.

Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with SQL, Python, and AWS. We love candidates who can not only lead but also dive into the technical side when needed. Show us what you’ve got!

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us. Good luck!

How to prepare for a job interview at Wave Talent

Know Your Data Inside Out

Make sure you brush up on your knowledge of lending and credit products, especially credit cards. Be ready to discuss how your experience aligns with the company's mission and how you can leverage data analytics to drive product innovation.

Showcase Your Leadership Skills

Prepare examples that highlight your team-building and leadership experience. Think about times when you've successfully scaled analytics teams or mentored others, as this role requires a strong player-coach mentality.

Be Ready to Discuss Analytics Frameworks

Familiarise yourself with frameworks for experimentation, analysis, and attribution. Be prepared to share your thoughts on what 'good' looks like in analytics and how you would implement these frameworks to optimise products.

Demonstrate Technical Competency

Brush up on your technical skills, particularly in SQL, Python, and AWS. Be ready to discuss specific projects where you've used these tools to manipulate and analyse data, and how you can coach others in these areas.

Head of Product (Data) Analytics
Wave Talent

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