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Assistant Manager, Information Management & Analytics

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Singapore
SGD 60.000 - 100.000
Descrizione del lavoro

Job Responsibilities

  1. Responsible for the operations of the analytics support function. This includes ensuring that all data requests are attended to on time, are accurate and appropriate. You will be required to also look into improving the data accuracy and efficiency of the operation, and manpower utilization.
  2. Analytics functions include data extraction, statistical analysis, predictive analysis, publishing of information on the management dashboards and intranet, and present analysis and findings to management.
  3. Ensure compliance of the department processes to related policies and work instructions. Administration of request routing systems, document and project repositories including management of access to these platforms.
  4. Provide data support to NHGP including extract, review and analyze business information. Business information can be obtained from multiple sources including the business intelligence datamart. You will be required to present the results and findings to different levels of staff from time to time.
  5. Participate in quality improvement projects, research studies, programs involving clinical services and special events.
  6. Participate in user requirement gatherings in the building/enhancements of institution datamarts.
  7. Participate in data modelling workshops at the institution and cluster level.
  8. Ensure continuity of operations, supervise and coach staff in the section.
  9. Management of information/reports presented on the Intranet.
  10. Other adhoc duties include being secretariat to task forces/committees and management meetings and/or participation in projects.

Job Requirements

  1. At least 5 years’ experience in business analytics in a healthcare setting or equivalent.
  2. At least 3 years’ experience in managing a team.
  3. Experience in management reporting.
  4. Data support in a data warehouse or business intelligence environment would be advantageous.
  5. Knowledge in project management, data modelling and programming tools such as SQL, AWS Sagemaker is required.
  6. Statistical analysis, predictive analytics, geo-spatial analytics will be advantageous.
  7. Knowledge of operational research, dashboarding tools such as Tableau is a bonus.

Only shortlisted candidates will be contacted.

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  • Avanti

* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.

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