Data Analyst - Healthcare Analytics

HIRING DATA ANALYST - IT WITH EXTENSIVE EXPERIENCE IN "HEALTHCARE ANALYTICS"

LOCAL MALAYSIANS ONLY FOR CONTRACT JOB - 12 MONTHS (EXTENDABLE)

WORK EXPERIENCE - Min 3 years to Max 15 years

Core responsibilities include:

• Mining large structured and unstructured datasets for a multitude of companies with different data structures.
• Ownership of data structures and relevant business logic by setting standards and vision for normalised data sets.
• Support the design of data systems to ensure data analytics takes place in an efficient, scalable, and reproducible way.
• Usage of data to find new insights to inform healthcare strategies and develop products – there will be a broad range of products to understand from clinical, operations, fraud, digital, sales and marketing, wellness, etc.
• Performing basic to advanced data analytics both ad hoc and in production.
• Present data and model findings in a way that provides actionable insights.
• Connecting with a multitude of local and international stakeholders to understand the data, systems, and analytical architecture in a healthcare context.
• Improve processes and data outcomes where opportunities arise.

Additionally, you will be required to contribute to the innovation and product creation process.

A working understanding of the data used in healthcare is optimal as data forms the basis of products, as such the following core understandings are required:

• Working experience and skill set in SQL, Python, and advanced Excel is preferred.
• Working understanding in advanced statistics, risk adjustment, and health outcome indices and metrics.
• Working understanding of data in at least 2 out of the following areas of expertise: clinical, operations, fraud, digital, sales and marketing, wellness, etc.
• Knowledge of databases and structures, governance, and metadata standards including data architecture principles, ETL/ELT, etc.
• Knowledge of patient health management, provider profiling, healthcare reporting, and other key healthcare technologies.
• Knowledge of clinical tools including coders, groupers, and classifications.
• Knowledge of data science in the healthcare space.
• Understanding of healthcare benefit pricing, product pricing, and other actuarial calculations (reserving, risk rating, etc.).
• Experience in Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.).

Qualifications:

A bachelor's degree in actuarial science, statistics, healthcare-related, or similar.

A master's degree in a related field preferred.

Extensive experience in healthcare analytics.