CPO Assistant cum HR Data Analytics Manager

Mô tả Công việc
We are seeking a highly skilled and innovative CPO Assistant cum HR Data Analytics Manager to join our team. This role provides end to end strategic and operational assistance to the CPO on the requirements of preparing important reports, pitch decks, presentations. This role represents CPO to manage & facilitate meetings and key projects in partnership with sub function's heads and all HR team members.
Key Responsibilities:
· Directly assistant to CPO on daily operations/requirements:
Provide day-to-day strategic support to the CPO which includes the preparation and routing of reports, documents, presentation decks, ad hoc data requests, dashboards, etc. Connect cross teams within HR and cross functional/business group.
Provide sophisticated calendar management for CEO. Prioritize inquiries and requests while troubleshooting conflicts; make judgements and recommendations to ensure smooth day-to-day engagements.
Serve as the primary point of contact for internal and external constituencies on all matters pertaining to the CPO, including those of highly confidential or critical nature
Work closely with the CPO to keep them well informed of upcoming commitments and responsibilities, following up appropriately.
Provide "gatekeeper" and "gateway" role, providing a bridge for smooth communication between the CPO and internal/external stakeholders.
· Support HR Leadership team:
Act as a liaison and provide support to the HR leadership team.
Arrange and handle all logistics for HRLT meetings and events: schedule meetings; draft agendas; develop, compile, and distribute presentation materials; and record meeting minutes.
Assist with HR all staff meetings and events as needed
Manage data warehouse, document forms/templates of HRLT team
· Support CPO with assigned projects in coordinating with various stakeholders:
Support CPO with assigned projects in coordinating with various stakeholders in Talent acquisition, Employer Branding, Talent management, learning, culture, HR event.
These work includes but not limited to collecting data, collecting feedback, analyzing scenarios, data mining, estimating risks and making proposals etc.