London People Data Analyst - SAP SuccessFactors & Power BI

London People Data Analyst - SAP SuccessFactors & Power BI

Full-Time 40000 - 50000 Β£ / year (est.) No working from home possible
Talanto

At a Glance

  • Tasks: Transform HR data into actionable insights and develop HR dashboards.
  • Company: Join a global media business focused on data-driven HR.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and data strategy.
  • Why this job: Make a real impact by driving data quality and automation in HR processes.
  • Qualifications: Experience with SAP SuccessFactors and Power BI is a plus.

The predicted salary is between 40000 - 50000 Β£ per year.

Talanto is seeking a People Data Analyst in London to transform HR data into actionable insights for the People Analytics team.

The role focuses on SAP Success Factors management, HR dashboard development, and driving data quality and automation across HR processes.

You will collaborate with stakeholders, design data strategies, and deliver clear reports to support organizational growth.

Based in London, you will contribute to a global media business with a strong emphasis on data-driven HR

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London People Data Analyst - SAP SuccessFactors & Power BI employer: Talanto

Almedia is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about machine learning and real-time personalization. With a strong emphasis on employee growth, you will have the opportunity to mentor fellow engineers while collaborating with cross-functional teams in the vibrant city of London. The hybrid working arrangements and commitment to impactful projects make Almedia a rewarding place to advance your career in AdTech.

Talanto

Contact Details:

Talanto Recruitment Team

We think you need these skills to ace London People Data Analyst - SAP SuccessFactors & Power BI

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