London Hybrid Power BI Specialist: Trading Analytics & Data Viz

London Hybrid Power BI Specialist: Trading Analytics & Data Viz

Full-Time 50000 - 65000 Β£ / year (est.) No working from home possible
Sivara GmbH

At a Glance

  • Tasks: Develop Power BI solutions and analyse data for trading analytics.
  • Company: Sivara GmbH, a dynamic company in the trading sector.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Role runs until December 2026 with potential for career advancement.
  • Why this job: Join a cutting-edge team and enhance your skills in data visualisation.
  • Qualifications: Strong Power BI development skills and experience in stakeholder engagement.

The predicted salary is between 50000 - 65000 Β£ per year.

Sivara GmbH is seeking a skilled professional in Power BI development and data analysis for a role based in London. This position will require you to be onsite 3 days a week and involves working on moderately complex applications within a trading function.

The ideal candidate will have:

  • Strong BI and reporting development expertise
  • Excellent technical skills
  • The ability to engage with stakeholders across multiple timezones

The role starts ASAP and runs until December 2026.

London Hybrid Power BI Specialist: Trading Analytics & Data Viz employer: Sivara GmbH

Sivara GmbH is an excellent employer that fosters a dynamic work culture, encouraging collaboration and innovation among its team members. With a strong focus on employee growth, the company offers numerous opportunities for professional development and skill enhancement, particularly in the vibrant city of London. The hybrid work model not only promotes work-life balance but also allows you to engage with diverse stakeholders, making your contributions impactful and rewarding.

Sivara GmbH

Contact Details:

Sivara GmbH Recruitment Team

We think you need these skills to ace London Hybrid Power BI Specialist: Trading Analytics & Data Viz

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