About the Role

We're looking for an HR Analytics Assistant Manager to support the HR Systems & Analytics Lead in building and maintaining our people analytics capabilities. You'll be a key partner to our HR teams, helping them leverage data to make informed decisions and improve our workforce strategies. This hands-on role requires a strong analytical mindset and a passion for turning data into actionable insights.

What You'll Do

HR Systems & Data Management

• Map out all HR data and develop data pipelines to integrate various HR data sources.
• Ensure the integrity and accuracy of HR data by performing regular audits and data cleansing activities.
• Help maintain and optimize the HR systems that feed our analytics function.
• Assist in connecting different HR systems and data sources to ensure a unified view of the workforce.

Data Analysis & Reporting

• Design and build self-service dashboards for leadership and HR teams, helping them understand key metrics like hiring trends, turnover, and employee engagement.
• Analyze workforce data to identify trends, predict future needs, and uncover opportunities for improvement.
• Develop and generate routine and ad-hoc reports on HR performance and key metrics.

Process Improvement and Data Advocacy

• Use data to identify bottlenecks and inefficiencies in HR processes.
• Partner with HR teams to support the implementation of new, data-driven improvements.
• Assist in creating documentation and user guides for new dashboards and analytics tools to promote data literacy across the HR function.

What You'll Need

• 4-6 years of experience in a People Analytics role.
• Experience with programming languages for data analysis (e.g., Python, R, SQL).
• Prior experience in building a central HR data repository by integrating multiple data sources
• Strong analytical and problem-solving skills, with the ability to draw meaningful conclusions from complex datasets.
• Excellent communication skills and can explain complex data to non-technical audiences.
• Experience with data management and ensuring data quality.
• Exposure to AI tools and their application in HR analytics.
• Knowledge of statistical analysis and predictive modeling.

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