Job Overview:
As a senior-level professional, you will be responsible for developing and managing people data analytics capabilities to drive informed decision-making across various teams.
Key Responsibilities:
- People Data Management
- Establish and oversee standards for collecting, classifying, and maintaining accurate and reliable people data.
- Partner with stakeholders to ensure system outputs provide clean and reliable data for analytics purposes.
- Ensure compliance with data privacy regulations and ethical use of workforce data.
- Analytics Reporting & Dashboards
- Design and manage dashboards, scorecards, and executive-level reporting for leadership teams.
- Deliver timely and accurate reporting on core HR metrics, such as headcount, turnover, diversity, absenteeism, engagement.
- Continuously improve reporting tools and visualization methods to make data accessible and actionable for stakeholders.
- Develop advanced analytics models, including predictive attrition, workforce planning, pay equity, succession risk.
- Interpret data trends and provide actionable insights to shape workforce strategy, employee experience, and organizational effectiveness.
Requirements:
- 10 years of experience in HR analytics, workforce planning, or business intelligence.
- Proven track record in data management, analytics, and visualization, using tools like 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 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, Finance, 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.