Commercial BI Developer: Data Dashboards & Insights (Hybrid)

Commercial BI Developer: Data Dashboards & Insights (Hybrid)

Full-Time 35000 - 45000 £ / year (est.) No working from home possible
First Central Services

At a Glance

  • Tasks: Support the development of commercial data and create impactful analytics using SQL and Power BI.
  • Company: First Central Services, a forward-thinking company in Manchester.
  • Benefits: Flexible hybrid working, competitive salary, and opportunities for professional growth.
  • Why this job: Join a dynamic team and transform data processes while working from home.
  • Qualifications: Strong data skills and excellent communication abilities required.

The predicted salary is between 35000 - 45000 £ per year.

First Central Services is looking for an Associate Commercial BI Developer in Manchester. In this role, you will support the development of our commercial data estate and work collaboratively across teams using SQL and Power BI to deliver impactful analytics. With a focus on flexible hybrid working, you’ll primarily work from home but may travel to our offices in Salford Quays or Haywards Heath. We seek a motivated professional with strong data skills and communication abilities to help transform our data processes.

Commercial BI Developer: Data Dashboards & Insights (Hybrid) employer: First Central Services

First Central Services is an excellent employer that champions a flexible hybrid working model, allowing you to balance your professional and personal life while primarily working from home. With a strong emphasis on collaboration and innovation, employees benefit from a supportive work culture that fosters growth through continuous learning opportunities and impactful projects in the vibrant city of Manchester.

First Central Services

Contact Details:

First Central Services Recruitment Team

We think you need these skills to ace Commercial BI Developer: Data Dashboards & Insights (Hybrid)

SQL
Power BI
Data Analytics
Collaboration Skills
Communication Skills
Data Process Transformation
Motivation