Data Analyst - Healthcare Analytics

Two95 International Inc.; Kuala Lumpur; On-site; MYR 100,000 - 150,000; Full time

Job summary

An established industry player is seeking a Data Analyst with extensive experience in healthcare analytics. This role involves mining and analyzing large datasets to derive actionable insights that inform healthcare strategies and product development. You will work closely with various stakeholders, contributing to innovative processes and ensuring data systems are efficient and scalable. If you have a strong background in SQL, Python, and a passion for healthcare data, this is an exciting opportunity to make a significant impact in the industry. Join a dynamic team and help shape the future of healthcare analytics!

Qualifications

• Min 3 years experience in healthcare analytics with strong SQL and Python skills.
• Bachelor's degree in relevant field; Master's preferred.

Responsibilities

• Mine large datasets for insights to inform healthcare strategies.
• Support design of data systems for efficient analytics.

Skills

SQL

Python

Advanced Excel

Advanced Statistics

Healthcare Analytics

Data Governance

Education

Bachelor's degree in Actuarial Science

Master's degree in a related field

Tools

Microsoft Azure

Databricks

Synapse

Data Factory

Job description

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 normalized 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. 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 is preferred.

Extensive experience in healthcare analytics.