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For Companies At a Glance
- Tasks: Lead data infrastructure and analytics for a high-growth D2C business.
- Company: Join a top mattress brand with a culture of innovation and excellence.
- Benefits: Competitive salary, performance bonuses, comprehensive health insurance, and generous PTO.
- Why this job: Architect systems that prevent data disasters and drive impactful decisions.
- Qualifications: 7+ years in digital analytics with expertise in data quality and e-commerce tracking.
- Other info: Fully remote role with a diverse international team and opportunities for growth.
The predicted salary is between 144000 - 216000 £ per year.
Compensation: Up to USD $200,000 per annum + up to 25% Performance Bonus (Equivalent in local currency, based on your location)
Total Annual Package: Up to USD $254,800
Location: Remote
Role Overview
We're seeking a systems-obsessed data infrastructure leader to architect the analytics foundation that powers strategic decisions across our high-growth D2C business. This role is for builders who get more excited about preventing data disasters than presenting insights.
You'll take the helm of our e-commerce data operations, leading a team that ensures data reliability drives confident decision-making. Working closely with our Forbes Council Member CEO and cross-functional teams, you'll establish the gold standard for analytics operations while enabling data-driven growth in a competitive global market.
What Is In It For You:
- Build Systems That Matter, Not Presentations That Don't: Most analytics leaders spend their days making slides and telling stories. You'll spend yours architecting infrastructure that handles $24M+ in annual ad spend with zero tolerance for errors. You'll implement automated validation systems, data observability frameworks, and monitoring that catches bugs before humans see them. You'll solve data quality problems once, systematically, and watch your systems scale internationally.
- Partner with the 1%: Gain firsthand exposure to strategic decisions and high-velocity execution that drives a global brand.
- Embrace Radical Flexibility: Work from anywhere in the US. Design your peak performance environment. We measure output and impact, not hours logged.
- Own the Technical Stack That Prevents Fires, Not Fights Them: You've fought data disasters. Here, you'll build the systems that prevent them.
What You'll Own:
- Data Quality Infrastructure (Your #1 Priority): Audit existing tracking setup (GA4, GTM, Shopify, Klaviyo, ad platforms) and fix every configuration error. Build automated validation systems that catch bugs before humans see them. Implement pre-leadership QA processes with hard gates. Create monitoring and alerting.
- Technical Architecture & Reliability: Design and maintain server-side tracking implementation for attribution accuracy. Architect data pipelines that handle $2M+ monthly ad spend tracking without errors.
- Operational Excellence: Build the QA checklist. Implement data observability. Create runbooks.
- Team Leadership & Process: Manage existing Analytics Manager + 2 Data Specialists. Train team on proper setup procedures and validation protocols.
- Strategic Projects (Once Quality is Bulletproof): Drive server-side tracking migration for cookie-less future. Implement advanced attribution models for multi-channel $24M+ annual ad spend.
What You'll Need:
- Must-Have Technical Chops: 7+ years in digital analytics with proven track record of owning data quality in high-stakes B2C environments.
- The Operational Mindset: You're a builder, not a presenter.
- Leadership & Communication: Proven team leadership.
Red Flags (Don't Apply If This Is You):
- You want to focus on strategic insights and executive storytelling.
- You prefer analysis over building systems.
Good-to-Have:
- You've done this before.
Bonus Points For:
- Experience with data observability tools.
- Background in analytics engineering or data reliability engineering.
The Puffy DNA:
- We're restless, perpetually hungry, and fast-paced.
- Be the Owner: We don't hire employees; we welcome owners.
- Execute with Urgency: We thrive in high-stakes environments.
- Demand Excellence: We solve the hard problems that others can't.
- Be AI-First: Daily multi-turn AI conversations challenge your assumptions.
- Go All-In: When the mission demands it, we rally as one team to cross the finish line.
Your Total Compensation & Benefits:
- Compensation: Monthly performance bonuses (up to 25%).
- Health & Protection: Comprehensive medical, dental, and vision insurance.
- Time Off: Generous Paid Time Off (PTO) + Public holidays.
- Work Environment: AI First organization with access to AI-native tool stack.
- Remote First: Work from the comfort of your home office.
- Learning & development opportunities.
- International team collaboration (14+ nationalities).
Ready to Shape Your Story? Click "Apply" and take the first step.
Head of Data Infrastructure & Analytics (Fully Remote) in London employer: Puffy
Contact Detail:
Puffy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Infrastructure & Analytics (Fully Remote) in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or through mutual connections. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their data infrastructure needs and think about how you can contribute. Show them you’re not just another candidate, but the perfect fit!
✨Tip Number 3
Practice your pitch! Be ready to explain your experience and how it aligns with their goals. Keep it concise and focus on your achievements in data quality and analytics—make them see why you’re the one they need.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can keep you top of mind. Plus, it shows you’re genuinely interested in the role. And remember, apply through our website for the best chance!
We think you need these skills to ace Head of Data Infrastructure & Analytics (Fully Remote) in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data infrastructure and analytics. We want to see how your skills align with our needs, so don’t be shy about showcasing your relevant achievements!
Show Your Passion for Building: In your application, let us know why you’re excited about building systems rather than just presenting insights. Share examples of how you've architected solutions that prevent data disasters—this is what we’re all about at StudySmarter!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity over fluff! Use bullet points where possible to make your key achievements stand out and ensure we can quickly see your impact.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Puffy
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical skills listed in the job description, especially GA4, GTM, and SQL. Prepare to discuss specific examples of how you've tackled data quality issues in the past, as this role demands a builder's mindset.
✨Showcase Your Problem-Solving Skills
Be ready to share concrete examples of how you've built systems to prevent data disasters. Highlight any automated validation frameworks or monitoring systems you've implemented, as this will resonate with their focus on reliability and accuracy.
✨Demonstrate Leadership Experience
Since this role involves managing a team, prepare to discuss your leadership style and how you've successfully led analytics teams in the past. Share how you’ve enforced data quality standards and trained team members on best practices.
✨Emphasise Your Collaborative Spirit
This position requires working closely with cross-functional teams. Be prepared to talk about how you've collaborated with engineering, marketing, and product teams to resolve data issues at the source, showcasing your ability to influence and communicate effectively.