Manager, AIO Value Driven Outcomes Office

National University Polyclinics; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Data Insights Manager to spearhead data-driven decision-making within a dynamic healthcare environment. This exciting role involves leading a team of analysts to analyze clinical, administrative, and financial data, using advanced techniques to extract actionable insights. You will collaborate with multidisciplinary teams, mentor junior analysts, and create impactful visualizations to communicate findings. If you are passionate about leveraging data to enhance healthcare outcomes and thrive in a collaborative setting, this opportunity is perfect for you.

Qualifications

• Experience in leading data analytics projects with minimal supervision.
• Strong background in health informatics and predictive analytics.

Responsibilities

• Lead a team of analysts to deliver timely insights and trends.
• Utilize data analytics to drive strategic decision-making.

Skills

Data Analysis

Health Informatics

Predictive Analytics

Statistical Techniques

Machine Learning

Team Leadership

Communication Skills

Education

Bachelor's Degree in Data Science or related field

Master's Degree in Health Informatics

Tools

R Studio

Data Visualization Tools

Job description

Manager, AIO Value Driven Outcomes Office

Job ID: 7639

Job Function: Administration

Institution: National University Health System

Overview

As a Data Insights Manager at NUHS's Value Driven Outcomes Office, you will play a pivotal role in leveraging data from clinical, administrative, and financial datasets to drive strategic decision-making and implement a high-value care culture across NUHS. You will lead a team of data analysts, collaborate with multidisciplinary teams, analyze data trends, and present findings to key stakeholders. You will need the ability to plan, manage, and implement Health informatics and data analytics projects with minimal supervision.

Key Responsibilities

1. Lead a team of data analysts to ensure timely and accurate delivery of insights.
2. Collaborate with multidisciplinary teams including clinicians, researchers, administrators, and finance professionals.
3. Analyze large datasets to identify trends, patterns, and correlations.
4. Perform more predictive and prescriptive analytics using R Studio.
5. Utilize statistical techniques and machine learning algorithms to extract actionable insights.
6. Create visualizations and dashboards to effectively communicate findings to stakeholders.
7. Stay updated on industry trends and emerging technologies in data analytics.
8. Mentor VDO Data Analyst to upskill them to perform predictive and prescriptive analytics.