Growth Engineer Intern: Marketing Automation & Analytics

Growth Engineer Intern: Marketing Automation & Analytics

Full-Time 20000 - 30000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Create automated systems for marketing analytics and content operations.
  • Company: Fast-paced Series A startup in Greater London.
  • Benefits: Gain hands-on experience and work directly with founders.
  • Other info: Perfect for AI-natives who thrive in ambiguity.
  • Why this job: Join a dynamic team and make a real impact in growth engineering.
  • Qualifications: Experience with Python, JavaScript, and BI tools preferred.

The predicted salary is between 20000 - 30000 Β£ per year.

Outpost Technologies is looking for a growth engineering intern in Greater London. This role involves creating automated systems for marketing analytics, sales materials, and content operations. You'll work directly with founders in a fast-paced Series A startup.

If you are AI-native, have a bias for action, and are comfortable with ambiguity, you might be the ideal candidate. Strong experience with Python, JavaScript, and BI tools will be beneficial.

Growth Engineer Intern: Marketing Automation & Analytics employer: Outpost Technologies

At Outpost Technologies, we pride ourselves on being an exceptional employer that fosters innovation and growth in a dynamic startup environment. Located in the vibrant Greater London area, we offer our interns the unique opportunity to work closely with founders, gaining invaluable insights and hands-on experience in marketing automation and analytics. Our collaborative work culture encourages creativity and initiative, while our commitment to employee development ensures that you will have ample opportunities to enhance your skills and advance your career.

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Contact Details:

Outpost Technologies Recruitment Team

We think you need these skills to ace Growth Engineer Intern: Marketing Automation & Analytics

Python
Problem-Solving Skills
Communication Skills
SQL
Data Engineering
Attention to Detail
Data Pipeline Development