Linkedprime
Kredivo Group

HR Analytics Assistant Manager

Posted: 1 minutes ago

Job Description

About The RoleWe'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 DoHR Systems & Data ManagementMap 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 & ReportingDesign 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 AdvocacyUse 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 Need4-6 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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