Global Talent Data Analyst

Description 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.


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