Data Analytics Engineer: Modelling, Metrics & Dashboards

Data Analytics Engineer: Modelling, Metrics & Dashboards

Full-Time 50000 - 70000 £ / year (est.) No working from home possible
Acquired Payments

At a Glance

  • Tasks: Create impactful data models and dashboards to drive business decisions.
  • Company: Join a forward-thinking company revolutionising data analytics.
  • Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
  • Other info: Collaborative team environment with exciting projects ahead.
  • Why this job: Be at the forefront of data-driven innovation and make a real difference.
  • Qualifications: Experience in data analytics and strong problem-solving skills.

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

Acquired is building a modern data analytics function inside its engineering team, focused on data-driven decision making for Commercial, Product, Finance and Operations.

The Data Analytics Engineering role covers modelling warehouse data, defining a semantic layer and metrics, and delivering dashboards and self-serve tooling with Data Studio and Big Query.

You’ll partner with stakeholders and own end-to-end analytics from questions to answers.

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Data Analytics Engineer: Modelling, Metrics & Dashboards employer: Acquired Payments

At Acquired, we pride ourselves on being a next-generation payments business that not only focuses on innovation but also fosters a vibrant and inclusive work culture in the heart of London. Our commitment to employee growth is evident through tailored career progression pathways and a collaborative environment where your unique contributions are celebrated. Join us to thrive in a dynamic setting that values purpose-driven work and empowers you to build meaningful relationships with our key customers while achieving exceptional results.

Acquired Payments

Contact Details:

Acquired Payments Recruitment Team

We think you need these skills to ace Data Analytics Engineer: Modelling, Metrics & Dashboards

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