Platform Support Analyst: Data & BI Specialist

Platform Support Analyst: Data & BI Specialist

Full-Time 30000 - 40000 Β£ / year (est.) No working from home possible
Sivara GmbH

At a Glance

  • Tasks: Ensure high platform performance and manage platform-related issues while collaborating with teams.
  • Company: Sivara GmbH, a dynamic company focused on data and business intelligence.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Exciting role in a collaborative environment with great career advancement potential.
  • Why this job: Join us to enhance platform stability and make a real impact in data reporting.
  • Qualifications: Strong SQL skills, operational support experience, and Power BI proficiency.

The predicted salary is between 30000 - 40000 Β£ per year.

Sivara GmbH is seeking a Platform Support Analyst in Grove Green, UK. The analyst will ensure high platform performance, manage platform-related issues, and collaborate with cross-functional teams.

The ideal candidate has strong SQL skills, experience in operational support, and can utilize Power BI for data reporting. The role emphasizes troubleshooting, attention to detail, and effective communication, making it crucial to the ongoing stability of our services.

Platform Support Analyst: Data & BI Specialist employer: Sivara GmbH

Sivara GmbH is an excellent employer that fosters a collaborative and innovative work culture in Grove Green, UK. Employees benefit from ongoing professional development opportunities, a supportive team environment, and the chance to work with cutting-edge technologies in data and business intelligence. With a focus on employee well-being and career growth, Sivara offers a rewarding experience for those looking to make a meaningful impact in their roles.

Sivara GmbH

Contact Details:

Sivara GmbH Recruitment Team

We think you need these skills to ace Platform Support Analyst: Data & BI Specialist

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