Associate Human Capital Analytics

About the role

Mubadala's Human Capital team supports leaders in making evidence-based people decisions on trusted data, backed by the responsible adoption of AI-enabled capabilities. This full-time role sits under Solutions Plus and helps deliver the Human Capital analytics and digital transformation agenda, turning complex workforce data into actionable insight and replacing manual processes with automated solutions.

Key responsibilities

• Analyze workforce data across headcount, turnover, recruitment, mobility, talent, performance, learning and workforce planning, applying statistical analysis, forecasting, segmentation and predictive modelling.
• Translate business questions into metrics, analytical solutions and recommendations with HC stakeholders.
• Build and maintain Power BI dashboards, executive scorecards and self-service reports, including semantic models, DAX, Power Query and scheduled refreshes.
• Write optimized SQL queries and build curated datasets, views and data pipelines in Snowflake.
• Develop reproducible Python workflows for data cleaning, transformation, statistical analysis and predictive modelling.
• Design AI-enabled assistants and automated workflows with Microsoft Copilot Studio and Power Automate, automating processes, reporting and approvals across Microsoft 365 tools.
• Perform data quality checks and handle sensitive employee data in line with Mubadala policies, privacy requirements and AI governance standards.
• Partner with Talent Partners, HC Centers of Excellence, Technology, Finance and business stakeholders, and train users on dashboards and automation.

Required profile

• 6+ years of experience in data analytics, data science, business intelligence, data engineering or related technical roles.
• Proven track record of production-quality analytics and reporting solutions; experience with sensitive data in a complex, multi-stakeholder organization.
• Bachelor's degree in data science, computer science, statistics, mathematics, information systems, engineering or a related quantitative discipline; Master's degree is an advantage.
• Relevant certifications in data analytics, data engineering, Power BI, cloud data platforms or Microsoft Power Platform are advantageous.

Required skills

• Python, SQL, Power BI, Snowflake and Microsoft Copilot Studio and Power Automate.
• Statistical analysis, data mining, data storytelling and performance measurement.
• People analytics, workforce metrics and data quality, privacy and security.

What we offer

• Hybrid working, up to 5 days a month, based in Abu Dhabi.
• Wellness benefits and a supportive, accountable and collaborative culture.
• Learning and development opportunities.