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.
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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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