Analytics Engineer: Self-Service Insights Platform

Analytics Engineer: Self-Service Insights Platform

Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Own and evolve the analytics platform for self-service insights across the business.
  • Company: Join Doodle, a forward-thinking company focused on data-driven decision making.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving innovation and data quality.
  • Why this job: Make a real impact by transforming raw data into trusted insights for the entire company.
  • Qualifications: Experience in analytics engineering and strong collaboration skills are essential.

The predicted salary is between 50000 - 70000 Β£ per year.

Doodle is seeking an Analytics Engineer to own and evolve the analytics platform, enabling self-service insights across the business.

You will design scalable data models with dbt and build robust pipelines transforming raw product data into trusted datasets.

Continue driving data quality, governance, and a scalable semantic layer while collaborating with Product, Engineering, Data, Marketing, and leadership to empower experimentation and reliable measurement across product launches.

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Analytics Engineer: Self-Service Insights Platform employer: Doodle

Doodle is an exceptional employer that fosters a dynamic and inclusive work culture, perfect for those looking to thrive in the B2B SaaS landscape. With a strong emphasis on employee growth, we offer comprehensive training and development opportunities, ensuring our team members can advance their careers while enjoying the flexibility of a hybrid work environment. Join us to be part of a collaborative team that values innovation and customer success, all while making a meaningful impact in the industry.

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Contact Details:

Doodle Recruitment Team

We think you need these skills to ace Analytics Engineer: Self-Service Insights Platform

SQL
Python
Communication Skills
Data Pipeline Development
Problem-Solving Skills
Automation
Data Engineering