Job Description

Join Us

At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.

What you’ll do


Key accountabilities: 

  • Lead HR analytics projects from data extraction to insight delivery
  • Design and maintain dashboards and reports using Power BI and Qlik Sense
  • Perform advanced data analysis using Python, SQL, and Google Cloud Platform (GCP)
  • Build and deploy machine learning models for HR use cases 
  • Collaborate with HR stakeholders to translate business needs into analytical solutions
  • Design and deliver advanced HR analytics projects across the employee lifecycle
  • Ensure data quality, governance, and compliance with GDPR and internal policies
  • Support ad hoc reporting across the HR organization

    • Who you are


    Core competencies, knowledge:

    • Data Visualization: Power BI, Qlik Sense
    • Programming & Analysis: Python, SQL
    • Cloud Platforms: Google Cloud Platform (BigQuery, Cloud Storage)
    • HR Systems: SAP SuccessFactors
    • Productivity Tools: Excel (advanced), PowerPoint
    • Experience with predictive modeling in HR contexts
    • Familiarity with HR metrics and KPIs
    • Ability to present complex data in a clear and compelling way to non-technical audiences
    • Familiarity with SAP SuccessFactors will be considered a plus


    Must have technical / professional qualifications and Experience: 

    • Bachelor’s degree in Mathematics or a related field
    • Master’s degree in Data Science, Business Analytics, or Statistics
    • Proven experience in HR analytics or data science roles
    • Strong communication skills and ability to work cross-functionally
    • Excellent knowledge of Microsoft Office tools, with advanced Excel skills
    • Excellent command of the English language

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