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For Companies At a Glance
- Tasks: Own the data stack and transform raw data into actionable insights.
- Company: Join a high-growth AI edtech startup making waves in the industry.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Why this job: Be a founding analytics hire and shape the future of learning for millions.
- Qualifications: Experience with SQL, dbt, and Python in a fast-paced startup setting.
- Other info: Dynamic role with direct impact on product decisions and user engagement.
The predicted salary is between 36000 - 60000 £ per year.
As the first dedicated Analytics Engineer, you will own the end-to-end data stack for a platform with over one million active users. Reporting to the founders, you'll transform raw data into a trustworthy source of truth using dbt and Python, enabling self-serve insights and driving product decisions through advanced experimentation and AI feedback loops.
Location: London, UK
Why this role is remarkable:
- Become the founding analytics hire at one of the UK's fastest-growing startups during a period of massive scale.
- Influence the roadmap of a platform reaching millions of users, backed by top-tier VCs following a successful Series A.
- High-impact ownership over a modern stack (dbt, Argo, PostgreSQL) where your work directly shapes AI-driven learning experiences.
What you will do:
- Design and maintain the semantic layer and core data models using dbt to transform raw events into conformed datasets.
- Build and orchestrate reliable ELT pipelines.
- Partner with Product and Finance to codify KPIs, implement A/B testing frameworks, and establish rigorous data governance standards.
The ideal candidate:
- Proven experience building scalable data systems using SQL, dbt, and Python within a fast-paced startup environment.
- Deep understanding of event tracking, subscription analytics, and the ability to build pipelines that drive engagement metrics.
- A proactive maker mindset with the communication skills to bridge the gap between technical data modeling and business impact.
Next steps:
- Step 1. Visit our website
- Step 2. Click 'Talk to Jack'
- Step 3. Talk to Jack so he can understand your experience and ambitions
- Step 4. Jack will make sure Jill considers you for this role
- Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction
- Step 6. If not, Jack will find you excellent alternatives. All for free.
Analytics Data Engineer at high-growth AI edtech startup in London employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Data Engineer at high-growth AI edtech startup in London
✨Tip Number 1
Get to know the company inside out! Research their mission, values, and recent projects. This will help you tailor your conversations and show that you're genuinely interested in being part of their journey.
✨Tip Number 2
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. Building connections can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for the chat with Jack! Think about your past experiences and how they relate to the role. Be ready to discuss specific projects where you've used dbt, SQL, or Python to drive results.
✨Tip Number 4
Follow up after your conversation! A quick thank-you note to Jack can keep you top of mind. Plus, it shows your enthusiasm and professionalism, which are key in a fast-paced startup environment.
We think you need these skills to ace Analytics Data Engineer at high-growth AI edtech startup in London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data shine through! We love candidates who are genuinely excited about transforming raw data into actionable insights. Share specific examples of how you've done this in the past.
Tailor Your Experience: Make sure to highlight your experience with SQL, dbt, and Python in your application. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects or achievements that demonstrate your expertise.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what really matters. Use bullet points if it helps to make your key achievements stand out!
Follow Our Application Steps: Remember to apply through our website! Follow the steps outlined, especially talking to Jack. This personal touch can really help us understand your ambitions and fit for the role, so don’t skip it!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Tech Stack
Familiarise yourself with dbt, Python, and PostgreSQL before the interview. Be ready to discuss how you've used these tools in past projects, especially in building scalable data systems. This will show your technical prowess and readiness for the role.
✨Understand the Business Impact
Prepare to explain how your work with data can influence product decisions and user engagement. Think of specific examples where your analytics led to actionable insights or improved KPIs. This will demonstrate your ability to bridge the gap between data and business outcomes.
✨Showcase Your Proactive Mindset
During the interview, highlight instances where you took initiative in previous roles. Discuss how you’ve built reliable ELT pipelines or implemented A/B testing frameworks. This will illustrate your proactive maker mindset, which is crucial for a fast-paced startup environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future plans. Inquire about their current challenges with data governance or how they envision the analytics function evolving. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
