SQL BI Developer β€” Financial Services, Power BI Dashboards

SQL BI Developer β€” Financial Services, Power BI Dashboards

Full-Time 45000 - 55000 Β£ / year (est.) No working from home possible
Sentinel

At a Glance

  • Tasks: Write and optimise SQL, build Power BI dashboards for financial services.
  • Company: Sentinel, a leading player in financial services with a dynamic BI team.
  • Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
  • Other info: Exciting career path in a fast-paced environment based in Central London.
  • Why this job: Join a vibrant team and make an impact with your data skills.
  • Qualifications: Experience in SQL and strong communication skills for stakeholder engagement.

The predicted salary is between 45000 - 55000 Β£ per year.

Sentinel is seeking a SQL Developer (Business Intelligence) in Central London to join the financial services BI team.

You will write and optimise SQL daily, dealing with data outside a warehouse and building Power BI dashboards to meet external reporting needs.

Strong communication with stakeholders is essential for translating business requirements into technical solutions.

The role starts with five days per week in the office in Central London, with a move to a hybrid pattern once targets are

#J-18808-Ljbffr

SQL BI Developer β€” Financial Services, Power BI Dashboards employer: Sentinel

Sentinel is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Central London. With a strong commitment to employee growth, we provide ample opportunities for professional development and impactful contributions to health transformation initiatives. Join us to be part of a rapidly growing team where your expertise will shape the future of healthcare consultancy.

Sentinel

Contact Details:

Sentinel Recruitment Team

We think you need these skills to ace SQL BI Developer β€” Financial Services, Power BI Dashboards

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