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- Tasks: Transform raw data into insights using dbt and Python in a fast-paced environment.
- Company: Join a rapidly growing AI edtech startup making waves in the education sector.
- Benefits: Competitive salary, flexible work options, and the chance to shape the future of learning.
- Why this job: Be a founding member and directly influence a platform with over one million users.
- Qualifications: Experience in analytics engineering and proficiency in data tools like dbt and Python.
- Other info: Collaborate across departments to set data governance standards in a dynamic startup.
The predicted salary is between 36000 - 60000 £ per year.
A fast-growing AI edtech startup is searching for an Analytics Data Engineer to take charge of the end-to-end data stack. In this pivotal role, you will convert raw data into actionable insights using tools like dbt and Python. Join as the founding analytics engineer and influence the roadmap for a platform with over one million active users. This opportunity provides a chance to work with a modern stack and impact AI-driven learning experiences, all while collaborating with key departments to establish data governance standards.
Founding Analytics Engineer for AI-Driven EdTech — 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 Founding Analytics Engineer for AI-Driven EdTech — London
✨Tip Number 1
Network like a pro! Reach out to people in the edtech and analytics space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with dbt and Python. This will not only demonstrate your technical abilities but also give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Research common questions for analytics roles and practice your responses. We recommend using the STAR method to structure your answers and highlight your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our mission to revolutionise education.
We think you need these skills to ace Founding Analytics Engineer for AI-Driven EdTech — London
Some tips for your application 🫡
Show Your Passion for EdTech: When writing your application, let us know why you're excited about the EdTech space. Share any personal experiences or projects that highlight your enthusiasm for using data to enhance learning experiences.
Highlight Relevant Skills: Make sure to showcase your skills in tools like dbt and Python. We want to see how you've used these technologies in past roles or projects, so don’t hold back on the details!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make it easy for us to understand your experience and how it relates to the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity as our founding analytics engineer!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like dbt and Python. Brush up on your skills and be ready to discuss how you've used these tools in past projects to convert raw data into actionable insights.
✨Understand the EdTech Landscape
Familiarise yourself with the current trends in the EdTech sector, especially around AI-driven learning experiences. This will not only show your passion for the industry but also help you articulate how your role can influence the platform's roadmap.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or scenarios related to data governance and analytics. Think of examples from your experience where you’ve successfully tackled similar challenges and be ready to share those stories.
✨Show Your Collaborative Spirit
Since this role involves working closely with key departments, be prepared to discuss how you’ve collaborated with others in the past. Highlight your communication skills and how you can contribute to establishing data governance standards across teams.
