Sr Manager, Operations Analytics Unit

Job Description:

We are looking for a Senior Manager, Operations Analytics Unit (OAU) to play a key role in shaping how our hospital uses data to advance operational intelligence across the hospital. This role is ideal for someone who enjoys solving complex problems, building scalable solutions, and influencing decisions at both the operational and senior management levels – someone equally comfortable writing code and presenting insights to leadership.

The Challenges

1. Design and implement robust dashboards, and reporting systems to ensure timely and comprehensive visibility of operational and performance metrics across the hospital
2. Apply analytics and modelling techniques to optimise patient flow, capacity planning, and access to care
3. Develop automated monitoring and early warning systems to track key performance indicators, surface performance deviations, and enable proactive operational management
4. Conduct in-depth descriptive and diagnostic analyses — including trend analysis, correlation identification, and root cause investigation — to provide management with a rigorous understanding of operational performance drivers
5. Lead digitalisation and automation initiatives using tools such as SQL and Python to enhance workflow efficiency
6. Identify operational gaps and implement scalable, data-driven solutions across departments
7. Translate complex analytical findings into clear, well-structured reports and presentations, communicating insights and recommendations effectively to senior leadership and cross-functional stakeholders
8. Partner with cross-functional teams (operations, finance, clinical, IT) to support decision-making and strategic planning
9. Drive adoption of a data-driven culture and build analytics capabilities across the organisation
10. Lead projects end-to-end and mentor junior team members to strengthen team performance

Requirements

1. Bachelor’s degree in Data Analytics, Computer Science, Statistics, Healthcare, Business, or a related discipline
2. At least 5 years of relevant experience in analytics, operations, or healthcare environments
3. Strong proficiency in SQL and working knowledge of Python for data analysis and automation
4. Experience with data visualisation tools (e.g. Tableau) and large datasets; familiarity with healthcare systems is an advantage
5. Strong analytical and problem-solving capabilities, with ability to distil complex data into meaningful insights and recommendations
6. Excellent written and verbal communication skills, with the ability to engage both technical and non-technical stakeholders
7. Proven ability to manage stakeholders and work across teams in a complex environment
8. Experience in project management and driving process improvements or digital initiatives
9. A high degree of initiative, professional maturity, and the ability to perform effectively in a dynamic and fast-paced environment