Description
The Healthcare Insights, Analyst delivers timely, accurate and actionable data-driven insights supporting the execution and monitoring of the Healthcare Division’s strategic initiatives.
Develop and maintains BI assets that deliver business insights to senior stakeholders Perform deep-dive analyses to identify trends and opportunities for performance improvement and new value creation. Support senior stakeholders with evidence-based recommendations Actively contribute to strengthening and enriching healthcare data assets
Roles and Responsibilities
Performance Management
- Own end-to-end development and maintenance of performance management reports.
- Prepare analysis of key trends in business performance.
Business Insights
- Lead deep dives into defined problem statements to identify key drivers, performance gaps and opportunities.
Healthcare Analytics
- Develop specifications and standards for dashboards and reports, with high QA practices and reusability.
- Coach junior analysts on best practices in methods, quality assurance and data visualization.
Healthcare Data
- Perform data reconciliation to source, document data lineage and reproducible scripts / notebooks.
- Support mapping and validation of new data sources to be onboarded into Healthcare Datamart.
Minimum Job Requirements:
Education Bachelors’ degree from a recognized university in any of the preferred fields of study is required:
- Data Science, Applied Mathematics or Statistics;
- Health Economics;
- Life Sciences (biomedical science, pharmacy) with analytical course work;
- Engineering (with quantitative focus); or
- Actuarial Science
Working Experience Minimum 3 years of relevant working experience in analytics, consulting, or actuarial role, preferably in a healthcare or payer setting. Experience should demonstrate progressive analytical responsibility.
Skills
- Ability to frame and communicate ambiguous or complex questions into structured analytical problems
- Demonstrated communication and presentation skills to convey complex concepts clearly to non-technical stakeholders
- Demonstrated proficiency in analytics tools and programming (e.g. SQL, R, Python) and business visualization (e.g. PowerBI, Tableau)