In this role, you will

• Support the HR Manager – Data & Analytics in managing the people analytics demand funnel, aligning with HR’s strategic goals and stakeholder engagement.
• Participate in requirement-gathering sessions with internal (e.g., C&B, HRBP, L&T) and external stakeholders (e.g., P&L, IT, Legal, Finance, ED&A).
• Assist in developing delivery roadmaps across the data value chain—from ingestion to modelling and visualization.
• Lead development of people analytics data products in collaboration with HR, ED&A, and IT; build and test data ingestion pipelines and domain products within the Enterprise Data Platform (EDP).
• Maintain and enhance existing data products and models based on evolving business needs.
• Define key people metrics and develop information products (e.g., dashboards, reports, data science models) to generate actionable insights.
• Monitor KPI trends and recommend insights to relevant stakeholders.
• Maintain and enhance existing dashboards and reports to ensure relevance, accuracy, and business value.
• Support self-service analytics enablement by guiding HR stakeholders, data analysts, and power users on best practices and standardized tools.
• Contribute to analytics capability building by designing and delivering training, workshops, and consultations to upskill HR teams.
• Promote adoption of advanced analytics and data visualization through best practices and internal advocacy.
• Collaborate with the HR Systems & Technology team to align analytics needs with system design, ensuring integration of data across the employee lifecycle.
• Partner with the HR Governance & Compliance team and ED&A to support data quality, regulatory compliance, and master data governance within the Enterprise Data Platform.

Qualification

To be considered for the role, you must meet the below requirements

• Bachelor's degree and 5+ years’ experience in data science    
• Proficient in data mining, machine learning, AI, mathematics, and statistical analysis
• Advanced skills in pattern recognition and predictive modeling
• Experienced with Python, SQL, Excel, and Tableau
• Familiar with HR systems (e.g., ERP, P2P, Taleo) and/or airline industry preferred
• Proven experience in leading transformational initiatives
• Skilled in project management with a focus on investment, scope, and success metrics
• Strong relationship-building and stakeholder engagement across all levels