Assistant Vice President – Talent Analytics
Job Description
Job Purpose
To build and manage Aldar's people data and analytics capability. This role enables data-driven decisions across all P&C teams by overseeing the full lifecycle of people data management, from collection and classification to cleansing and compliance (with data privacy regulations), and by translating data into workforce intelligence and predictive insights
Roles And Responsibilities
People Data Management
Establish and oversee standards for people data collection, classification, and maintenance to ensure accuracy and integrity.
Partner with the VP People Digital Transformation to ensure system outputs provide clean and reliable data for analytics use.
Ensure compliance with data privacy regulations and ethical use of workforce data.
Analytics, Reporting & Dashboards
Design and manage P&C dashboards, workforce scorecards, and executive-level reporting for the CPCO and leadership team.
Deliver timely and accurate reporting on core HR metrics (e.g., headcount, turnover, diversity, absenteeism, engagement).
Continuously improve reporting tools and visualization methods to make data accessible and actionable for stakeholders.
Develop advanced analytics models (e.g., predictive attrition, workforce planning, pay equity, succession risk).
Interpret data trends and provide actionable insights to shape workforce strategy, employee experience, and organizational effectiveness.
Cross-Functional Partnership
Partner with the broader P&C team to measure impact of people initiatives (e.g., engagement, culture shifts, learning outcomes).
Collaborate with Group Technology and Group Finance to ensure workforce data aligns with broader enterprise reporting.
Experience
8+ years of experience in HR analytics, workforce planning, or business intelligence
Proven track record in data management, analytics, and visualization (e.g., Power BI, Tableau, Qlik, or equivalent).
Demonstrated ability to translate data into actionable business insights.
Experienced with large-scale HR data sets and integrating multiple data sources.
Familiarity with HR processes across the employee lifecycle.
Prior experience in private sector, large-scale organizations or fast-growth environments preferred.
Technical & Interpersonal Skills
Expertise in data analysis, visualization, and storytelling.
Strong understanding of HR metrics and workforce analytics best practices.
High proficiency in analytics tools (SQL, Python/R for HR analytics a plus).
Excellent problem-solving, critical thinking, and quantitative skills.
Ability to convey clear messages through data storytelling
Knowledge of data privacy requirements.
Qualifications
Bachelor's degree in Data Science, Statistics, Business Analytics, HR, or related field (required).
Master's degree (MSc in Analytics, HR Analytics, or MBA with quantitative focus) preferred.
Professional certifications in data/analytics (e.g., Power BI, Tableau, SQL, or People Analytics certifications) desirable.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.If you would like more information about how your data is processed, please contact us.