HR Data Analytics Manager, Apac

2 weeks ago

Singapore CHUBB ASIA PACIFIC PTE. LTD. Full time

The HR Data Analytics Manager, APAC works with a wide range of stakeholders throughout the full data life cycle, with a keen focus on data relationships/aggregation, analysis, and reporting. This role is critical in helping HR deliver insights for strategic decision making.

Relationships:
This role exists in a highly matrixed environment and interacts with a diverse group of internal colleagues globally, including all levels of Management (focus on Executive and Senior Management) and other HR and Finance professionals. External stakeholders are generally third-party suppliers of data and/or technology.

**Duties and Responsibilities**:

- Working through the broader HR team and functional partners to ensure interpretation and usage of data fields and metrics is globally consistent.
- Responsible for the collation and combination of data output from disparate systems with a goal to streamline data flows, ensure integrity of data, and gain efficiencies through automation.
- Engage with Executives, Senior Management, and other key stakeholders to develop and execute on current human capital analytics commitments by delivering high quality analysis of data as specified in a timely manner (e.g., headcount reporting, salary movement analysis, turnover analysis, Diversity & Inclusion reporting, etc.)
- Explore Chubb’s human capital data to derive new or deeper insights which contribute to better decision making.
- Work closely with stakeholders to ensure the format of the reporting is i) insightful ii) creates clarity and iii) where appropriate is actionable and innovate data analysis processes, where possible.
- Regional lead working with local country HR for rollup and consolidation for line of business HR reporting.
- Regional lead on all local and global HR audit processes and requirements, maintaining governance and compliance for all HR data, contracts, systems etc.
- Partner with the HR COE’s on data projects, as needed e.g., Compensation and Benefits analytics and bonus and equity pool calculations.

**Skills**:

- Ability to synthesize business objectives or focus areas into reporting output or insight.
- Strong influencing skills.
- Strong technical (statistical) capabilities.
- Ability to present data in a compelling and actionable way, utilizing story-telling and data visualization tools.
- Ability to automate and streamline data reporting, building prototype models and dashboards.
- Experience with large, disparate, and varied data sets; manipulation of raw data into insights.
- Intellectually curious with both an analytical and holistic view of solutions.
- High levels of accountability and personal judgment given the confidential nature of the data being used.

**Education and Experience Requirements**:

- 5-8 years of relevant experience with sizable multinational companies. Financial Services industry experience preferred.
- Relevant degree in the field of research and quantitative methods (e.g., statistics, organizational behavior, data science, economics, math).
- Exposure to research design, visualization techniques and analysis. Exposure to advanced statistical methods (e.g., hypothesis testing, machine learning predictions and text mining) a plus.
- Experience with HRIS systems (e.g. Oracle HCM, Workday, PeopleSoft), data visualization tools (e.g. Tableau, Power BI), and workforce planning tools (e.g. IBM Planning Analytics - TM1) preferred.
- Ability to summarize findings effectively and high communication and collaboration skills.

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