As a Global Talent Data Analyst, your mission is to leverage advanced data analytics techniques and tools to extract actionable insights and enhance decision-making throughout our organization. You will collaborate closely with key stakeholders, applying statistical modeling and data visualization skills to ensure data quality and enable informed decisions within the Talent & Rewards (Talent Acquisition, Capacity & Workforce Planning, Talent Management, Learning & Development and Rewards) function.  

Your responsibilities:

HR & Talent & Learning (T&L) Data Analytics:  

• Gather and transform organizational raw data into actionable insights.  

• Design, deploy and sustain dashboards, metrics, and reports to inform business decisions.  

Functional Expertise:  

• Understand Talent related processes.  

• Provide expertise in People Analytics methodologies.  

Stakeholder Management:  

• Collaborate with HR Center Of Expertise Leaders / T&L HUB Leaders and Reporting Experts.

• Support Business Units' analytics needs through Capability & Workforce Planning SPOCs.

• Translate data findings into meaningful recommendations.  

Technical Proficiency:  

• Excel: Proficient in data manipulation, formulas, and visualization.  

• Power BI: Develop interactive dashboards and visualizations.  

• Power Query: Extract, transform, and load data efficiently.  

• SQL (nice to have): Query databases for advanced analysis.  

Data Quality Focus:  

• Ensure accuracy, consistency, and reliability of Talent data.  

• Implement Data Governance Practices. 

Proactive and Innovative Approach:  

• Identify trends, patterns, and opportunities.  

• Propose innovative solutions to enhance Talent related processes.

Your Background:

• Bachelor’s degree in HR, Business, Data Science, Engineering, or related field.

• Proven experience in People Analytics or HR Data Analysis. 

• Strong analytical skills and attention to detail.  

• Excellent communication and stakeholder management abilities. 

• Curiosity and a proactive mindset. 

• Excellent Skills in Excel, Power BI and Power Query.  

• Excellent Skills in MS Office. 

• Fluent English.

• SQL proficiency (nice to have).  

• Machine Learning (nice to have). 

• Familiarity with Talent, Learning and Rewards Functions.  

• Knowledge of statistical analysis and predictive modeling.