Job Description

Position Overview

The DAD Manager derives insights available administrative databases, surveys, and public information to support policy decisions. He/She uses statistical techniques to project demand for healthcare services, evaluate polices or conduct developmental analytics to improve operations. He/She enjoys working with data and displays willingness to learn. He/She adopts an analytical approach to solving problems and displays confidence when communicating ideas. He/She leads important projects and collaborates with policy stakeholders to understand the context and refine the analysis.

Role & Responsibilities

Evaluate policies or programmes to assess impact

- Develop and implement an evaluation framework to be applied to health programmes

- Conduct evaluations of major healthcare programmes using statistical techniques and models to estimate impact and cost-effectiveness

- Interpret and communicate findings in light of policy decisions/context

- Work with stakeholders and use evaluation results to drive process improvement and decision-making

Project demand for healthcare services planning

- Develop demand projection models to reflect trends in utilization or simulate policy changes

- Uncover drivers of underlying trends through data analysis

- Develop geospatial analytical tools to help policy-makers identify underserved areas

Conduct developmental analytics to improve operations

- Clean databases and perform data validation checks as part of data preparation

- Leverage advanced statistical modelling, machine learning and text mining techniques to develop predictive models on large-scale healthcare related datasets

Requirements

- Bachelors'/Masters' in a quantitative discipline: Data Science, Business Analytics, Economics Statistics/Biostatistics/Bioinformatics, Mathematics, Operations Research, or related

- 2+ years working experience is a plus, especially in conducting evaluations and/or analysis in healthcare, government or IT sectors

- Good analytical and numerical skills with experience using data analysis tools such as Stata/R/Python to solve real-world problems.

- Good stakeholder engagement and communication skills

- Able to work independently, and also effective as a team player

- Able to take a broad, strategic perspective while drilling deep to understand business needs and challenges

- Able to learn on your feet in a fast paced working environment

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