Analytics Engineer: Global Marketing Data & Growth

Analytics Engineer: Global Marketing Data & Growth

Full-Time 50000 - 65000 £ / year (est.) No working from home possible
Careers at Eucalyptus

At a Glance

  • Tasks: Own marketing data accuracy and collaborate on global data initiatives.
  • Company: Join Eucalyptus, a leader in international digital healthcare.
  • Benefits: Competitive salary, flexible working hours, and growth opportunities.
  • Other info: Dynamic team environment with a focus on innovation and collaboration.
  • Why this job: Make a real impact on global healthcare through data-driven insights.
  • Qualifications: Experience in analytics and a passion for data quality.

The predicted salary is between 50000 - 65000 £ per year.

Eucalyptus is building the world’s largest international digital healthcare company.

We seek an Analytics Engineer to own marketing data accuracy, reliability, and scalability across UK and global markets.

You’ll ensure correct capture and enrichment of customer interactions from Segment to Big Query, ads, and CRM.

You’ll collaborate with UK/EU marketing analytics, central data engineering, and cross-functional partners to implement governance, data quality monitoring, and scalable tracking for

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Analytics Engineer: Global Marketing Data & Growth employer: Careers at Eucalyptus

Eucalyptus is an exceptional employer that prioritises employee growth and well-being, offering a dynamic work culture in the heart of London. With a focus on innovation in digital health, team members benefit from hands-on experience in product management while collaborating with cross-functional squads to make a meaningful impact on patient health. The company fosters a supportive environment that encourages professional development and values diverse perspectives, making it an ideal place for those looking to thrive in their careers.

Careers at Eucalyptus

Contact Details:

Careers at Eucalyptus Recruitment Team

We think you need these skills to ace Analytics Engineer: Global Marketing Data & Growth

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