Data Analyst - Workplace Experience (Remote)
Easy RecruiterLos Altos, California, United States
Posted January 5, 2026
Full Time
About the Company
Easy Recruiter specializes in connecting top IT talent with leading multinational companies across Romania, the United Kingdom, Malta, and Germany. Leveraging a continually expanding database of highly skilled professionals, the firm offers comprehensive recruitment, consultancy, and head‑hunting services tailored to the unique needs of each client. By focusing on the IT sector and maintaining strong relationships with global enterprises, Easy Recruiter delivers precise, efficient placement solutions that match candidates with the best working environments. Their data‑driven approach and international reach set them apart as a trusted partner for both ambitious professionals and progressive organizations.
Job Description
Data Analyst - Workplace Experience: We're looking for a data analyst to join our Workplace Experience team. As a data analyst, you will discover trends, identify risks and constraints, provide recommendations, and be an advisor to the WE senior leadership team. You will apply your modeling skills to develop forecasts and insights to improve existing workplaces and create an amazing employee experience.
Requirements
- Communicate complex analysis and concepts and provide readable dashboards to surface relevant insights with clear narratives to senior leadership and non-technical partners
- Develop forecasting models to understand EA's future ways of working and the evolution of our workforce - focusing on headcount predictions, office attendance and other human capital analyses
- Work with program managers and leadership to determine business problems and use statistical analysis, simulations, predictive modeling, or other methods to analyze and develop practical solutions
- Advocate for the importance of data-driven decision-making and build relationships with partners who rely on people data to ensure understanding on needs, definition of metrics and ways of working
- Champion for data quality, creating policy and implementing monitoring solutions to ensure compliance
- Perform research, assemble and integrate data from multiple sources, conduct analyses, design and implement analytical solutions
- Identify and advocate for technical options related to machine learning, data mining, and other statistical approaches.
- Maintain data repositories, interfaces and protocols
Benefits
- 401k Matching
- Retirement Plan
- Generous Paid Time Off
- Visa Sponsorship