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Senior Analyst with 6+ years in People Analytics & Business Intelligence
Data-driven HR analytics professional with expertise in People Analytics and Business Intelligence. Skilled in end-to-end HR data management, including data collection, cleansing, validation, and governance, as well as designing and maintaining interactive dashboards to monitor key workforce metrics such as turnover, succession, recruitment trends, and performance. Proficient in Power BI and data storytelling to translate complex datasets into actionable insights that support strategic HR initiatives, including talent reviews, organizational design, and compensation benchmarking. Adept at collaborating with HR Business Partners, Centers of Excellence, and cross-functional teams to ensure data accuracy, compliance, and alignment with business objectives. Passionate about promoting data literacy and enabling analytics adoption through workshops and continuous improvement efforts. Committed to leveraging data-driven HR programs to enhance organizational performance and employee wellbeing.
GUNADARMA UNIVERSITY
Bachelor · Computer Science
August 1, 2013 – June 30, 2017
Danone Indonesia
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Cultural Fit Analysis
The candidate has a consistent career path within data analysis roles, particularly in HR, showing dedication and a focused interest. Their involvement in workshops and training sessions suggests a proactive approach to learning and contributing to team growth. The diversity of roles within Danone Indonesia (HR-Occupational Health Analyst, HR-People Data Analyst) indicates adaptability and a willingness to take on varied responsibilities within a domain. However, the lack of project diversity outside of HR analytics might limit broader cultural exposure.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through data discrepancy resolution and validation. Their experience in stakeholder collaboration and promoting data literacy indicates good communication and teamwork abilities. The focus on continuous improvement and data-driven solutions aligns well with operational efficiency.