- Company Name
- IFRS Foundation
- Job Title
- HR Data Analyst
- Job Description
-
**Job title:** HR Data Analyst
**Role Summary:**
Analyze, cleanse, and report on HR data to support strategic workforce planning and compensation initiatives. Drive data governance and system improvements while maintaining dashboards, ensuring compliance, and facilitating HRIS operations within a global environment.
**Expectations:**
* Deliver accurate, timely HR dashboards and reports for senior decision‑makers.
* Maintain data integrity across HRIS platforms (e.g., Workday, SuccessFactors, HiBob).
* Support global benchmarking, compensation planning, and benefits lifecycle activities.
* Ensure compliance with internal policies, legal data‑handling standards, and privacy protocols.
* Collaborate with cross‑functional teams to troubleshoot system issues and improve processes.
**Key Responsibilities:**
1. Produce and maintain HR dashboards (PowerBI preferred) and standardised reports for strategic workforce planning.
2. Cleanse, validate, and manage HR database entries; enforce data quality and governance standards.
3. Participate in global role benchmarking, compensation surveys, and benefits analysis; generate supporting reports.
4. Manage employee pay components, benefits enrolment, and vendor communications.
5. Provide administrative and technical support for HRIS modules; configure workflows and resolve user issues.
6. Develop and distribute user guides, training materials, and documentation for HRIS and reporting tools.
7. Monitor compliance with legal requirements, internal policies, and data‑privacy initiatives.
**Required Skills:**
* Advanced Excel, SQL, and HR analytics tools; PowerBI experience a plus.
* Proficiency in HR benchmarking tools and compensation survey analysis.
* Hands‑on experience with HRIS platforms (Workday, SuccessFactors, HiBob).
* Strong analytical and quantitative skills, able to translate data insights into actionable recommendations.
* Excellent attention to detail, data accuracy, and integrity.
* Programming knowledge for data manipulation (Python, R, or similar) preferred.
* Effective communication and stakeholder‑management; able to explain technical concepts to non‑technical audiences.
* Proactive problem‑solver with process‑improvement mindset.
* Ability to manage multiple priorities, meet deadlines, and work independently in a fast‑paced, global setting.
* Ethical judgment, confidentiality, and respect for sensitive data.
**Required Education & Certifications:**
* Bachelor’s degree in Data Science, Statistics, Business Analytics, or related field; equivalent experience accepted.
* HR analytics or data‑management certifications (e.g., HRIS certification, PowerBI certification) are advantageous.