Overview
We are seeking a Workforce Data Analyst to support a growing organization in addressing significant challenges related to workforce retention and attrition. The successful candidate will analyze data across recruitment, HR, and operational platforms to uncover insights and develop actionable recommendations. This role requires a combination of technical expertise, analytical skills, and the ability to effectively communicate findings with stakeholders.
Responsibilities
- Define the approach in consultation with stakeholders, establishing key questions and success measures.
- Consolidate fragmented recruitment, HR, onboarding, and operational data into a coherent view of the employee journey.
- Diagnose patterns of attrition and retention by analyzing various workforce factors and characteristics.
- Analyze qualitative feedback from exit interviews and employee surveys to derive insights on employee experiences.
- Generate actionable insights to enhance recruitment strategies and onboarding processes.
- Develop and maintain comprehensive MI and BI reports using tools like Power BI or Tableau.
- Manage project delivery, ensuring momentum and clear communication with stakeholders throughout the engagement.
- Document analytical methods and findings for future reference and sustainability beyond the contract.
Requirements
- Strong hands-on experience in Management Information (MI) and Business Intelligence (BI).
- Proven experience in diagnosing workforce attrition and retention challenges.
- Experience in people analytics, workforce planning, or recruitment operations analytics.
- Proficient with applicant tracking systems and HR information systems.
- Background in high-turnover, high-volume recruitment environments such as healthcare or logistics.
- Ability to analyze qualitative data, such as exit interviews and employee surveys, to identify key themes.
- Strong technical skills in SQL and experience with BI tools like Power BI or Tableau.
- Demonstrated capacity for stakeholder management and independent project delivery.