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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