Analytics Engineer: Build Trusted Data Products & Metrics

Analytics Engineer: Build Trusted Data Products & Metrics

Full-Time 40000 - 55000 Β£ / year (est.) No working from home possible
Global

At a Glance

  • Tasks: Build trusted data products and curated datasets for impactful analytics.
  • Company: Join a global leader in data-driven decision-making.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Empower teams with reliable data and make a real difference in business decisions.
  • Qualifications: Experience in analytics and a passion for data-driven insights.

The predicted salary is between 40000 - 55000 Β£ per year.

Global is seeking an Analytics Engineer to join the Data team in the UK, building trusted data products and curated datasets to empower analytics and decision-making across the business. You will work with Data Engineering and Analytics to apply business logic, maintain reusable semantic layers and core metrics, and ensure consistent definitions for BI, Data Science and analytics teams.

Analytics Engineer: Build Trusted Data Products & Metrics employer: Global

Global is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals looking to make a significant impact in the tech industry. With a strong emphasis on employee growth and development, you will have access to numerous opportunities to enhance your skills and advance your career while working alongside visionary leaders in a dynamic environment. Located at the forefront of technological advancement, Global offers unique advantages such as exposure to cutting-edge AI initiatives and a commitment to continuous improvement.

Global

Contact Details:

Global Recruitment Team

We think you need these skills to ace Analytics Engineer: Build Trusted Data Products & Metrics

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