People Analytics Manager
| Company | Axis Capital |
|---|---|
| Location | Shrewsbury, NJ, USA, Alpharetta, GA, USA, Princeton, NJ, USA, New York, NY, USA |
| Salary | $170000 – $230000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
Requirements
- Be knowledgeable about data privacy regulations and compliance requirements
- Demonstrate a deep understanding of HR strategy, processes and practices
- Possess a relevant background in HR, Data Science, Statistics, or a related field
- Have a track record of driving business outcomes through data-driven decision-making
- Be adept at communicating complex data insights to non-technical stakeholders
- Have a solid background in data analysis and interpretation within a people-related context
- Possess excellent collaboration skills across different functional teams
- Be proficient in using Workday reporting/people analytics, data visualization tools and other statistical analysis software (Excel, SQL, Tableau, Power BI)
Responsibilities
- Focus on full employee lifecycle metrics and delivery of key data insights, predictions and recommendations
- Bring together our internal, external and enterprise data sources to tell one end-to-end cohesive people story
- Define business needs and challenges by conducting current state assessments and identifying and communicating key themes coming out of discovery work
- Utilize data to create engaging and actionable narratives (data visualizations) that highlight key insights to help clients make informed business decisions on human capital issues
- Develop a roadmap and prioritization strategy for the ongoing enhancement of our workforce analytics capabilities
- Utilize Human Capital Management (HCM), people analytics, or enterprise and BI platforms to design, build, test and deploy reports, dashboards, data visualizations, and predictive models based on project requirements
- Leverage AI and technology to generate valuable insights for clients
- Develop and manage project plans, coordinating timelines and milestones across teams
- Drive a data-driven culture within HR, acting as a catalyst for organizational change
Preferred Qualifications
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No preferred qualifications provided.