- Company Name
- The Travel Corporation
- Job Title
- People Data & Analytics Analyst
- Job Description
-
Job title: People Data & Analytics Analyst
Role Summary: Deliver data‑driven insights for People & Culture, designing dashboards, driving HRIS optimisation, and supporting reward analytics to enable strategic HR decision‑making globally.
Expactations:
- Produce accurate, timely analytics and visualisations for senior leadership.
- Ensure data quality, integrity, and compliance with privacy regulations.
- Collaborate with regional HR teams to translate insights into action.
- Champion continuous improvement of People systems and processes.
Key Responsibilities:
- Design, build and maintain dashboards on workforce metrics, turnover, headcount and other key people KPIs.
- Conduct predictive analytics for talent forecasting, retention risk and workforce planning.
- Generate executive‑level reports, visualisations and presentations for board, investor and senior leadership reviews.
- Perform regular data audits across all People systems to verify accuracy and integrity.
- Act as data steward for HRIS platforms (Dayforce or equivalent), ensuring consistency and accessibility.
- Identify automation opportunities and support system enhancements, integrations and implementations.
- Document data structures, reporting methodologies and system processes.
- Provide analytical support for compensation programs: performance reviews, bonus calculations, salary benchmark surveys, market analysis, financial modelling, gender pay gap reporting and statutory disclosures.
- Support ESG and DEI initiatives through data collection, analysis and reporting.
- Analyse employee engagement survey data to inform action planning.
- Aid M&A integration activities with data migration and validation.
- Partner with People & Culture partners to embed analytics into business processes and build analytical capability across the team.
Required Skills:
- Strong analytical and problem‑solving skills with large datasets.
- Advanced Excel (pivot tables, VLOOKUP, complex formulas).
- Proficiency in data visualisation tools (Power BI, Tableau, or similar).
- Experience with HRIS platforms, ideally Dayforce.
- Deep understanding of HR metrics, processes, and employee lifecycle.
- Excellent attention to detail and data accuracy.
- High‑level communication skills to translate complex data for non‑technical audiences.
- Working knowledge of GDPR and data privacy principles for employee data.
- Desirable: Predictive analytics or HR forecasting models, SQL or Python, background in compensation analytics, ESG/DEI reporting frameworks.
Required Education & Certifications:
- Bachelor’s degree in Human Resources, Business Analytics, Statistics, or a related field, or equivalent experience.
- Certifications relevant to HRIS, data analysis or visualisation (e.g., Dayforce certification, Microsoft Certified: Data Analyst Associate, Tableau Desktop Qualified Associate) are advantageous.