Senior Executive/ Assistant Manager (Data Analytics and Wellbeing), SingHealth Staff Wellness Office

SingHealth

Singapore

On-site

SGD 60,000 - 90,000

Full time

6 days ago
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Job summary

SingHealth's Staff Wellness team invites a data‑driven professional to help build system‑wide wellbeing insights across Singapore's public healthcare network. You will develop dashboards, manage staff wellness data, and perform extraction and analysis to support decision‑making.

You will collaborate with partner institutions to strengthen data quality and reporting practices while exploring automation and AI to streamline workflows.

Qualifications

  • Proficiency in data analysis including SQL.
  • Ability to understand higher-level objectives and translate them into implementable systems.
  • Collaborative team player who can engage a broad range of stakeholders across the organisation.

Responsibilities

  • Support development and management of staff wellness data, including dashboards, data extraction, analysis, and reporting of wellness indicators and related metrics.
  • Assemble and analyse data from multiple sources to plan, evaluate, and enhance wellness initiatives, partnering with institutions and stakeholders.
  • Identify opportunities to leverage digital, automation, and AI-enabled solutions to streamline workflows and reporting.

Skills

SQL
Data analysis
Stakeholder engagement
Independent work

Education

Bachelor's Degree in Science/Mathematics/related field

Job description

Join SingHealth's Staff Wellness team and contribute to building a system-wide culture that promotes the overall well-being of staff across SingHealth. You will be part of a team committed to using data and insights to inform wellness strategies and programmes, ensuring initiatives are evidence-based, impactful, and responsive to the needs of the people who power Singapore's public healthcare system.

In this role, you will support the development and management of staff wellness data and reporting, while partnering institutions and domains to strengthen data collection, analysis, and reporting processes. You will also play an active role in the planning, implementation, and evaluation of staff wellness initiatives across the cluster.

What You Will Do

You will support the development and management of staff wellness data, including dashboard development, data extraction, analysis, and reporting of staff wellness indicators, counselling data, peer support activities, attrition rates, and related metrics to support decision‑making and programme outcomes.

You will also assemble and analyse data from a variety of sources in the planning, evaluation, and enhancement of wellness initiatives, while partnering institutions and stakeholders to strengthen data quality and reporting practices. Where appropriate, you will identify opportunities to leverage digital, automation, and AI‑enabled solutions to streamline workflows, improve reporting efficiency, and reduce manual effort.

Beyond data work, you will assist in the planning, coordination, implementation, and evaluation of wellbeing initiatives aimed at promoting awareness across five key areas, including mental wellness education programmes, webinars, campaigns, and e‑modules, with the goal of delivering meaningful outcomes for staff.

You will also provide administrative and operational support for the Office, including coordinating meetings, preparing presentations, minutes and reports, and managing financial processes such as purchases, claims, and invoice payments.

Job Requirements
  • Bachelor's Degree in Science, Mathematics, or a related field
  • Working experience in healthcare or business administration background will be an advantage
  • Proficiency in data analysis including SQL
  • Ability to understand higher‑level objectives and translate them into implementable systems on the ground
  • Ability to act with discretion and work independently
  • Innovative, resourceful, and a collaborative team player who is comfortable engaging a broad range of stakeholders across the organisation
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