Our client in the IT Industry is looking for a Data Analyst whose responsibilities will include but not be limited to:
- 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 product – 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.
Requirements
- Additionally, you will be required to contribute to the innovation and product creation process.
- 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.
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 from clinical,operations, fraud, digital, sales and marketing, wellness, etc.
- Knowledge of databases and structures, governance and meta data standards including data architecture principals, ETL/ELT, etc.
- Knowledge of patient health management, provider profiling, healthcare reporting, and other key healthcare technologies etc.
- 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.)
Desired Skills:
- Exceptional Communication skills
- Ability to take feedback
- Good problem solving skills
- Attention to detail
- Excellent co-ordination skills
- Ability to work in a team cohesively
- Balancing multiple priorities
- Focus on continuous improvement
Desired Qualification Level:
- Degree