Data mining or extracting usable data from valuable data sources
Using machine learning tools to select features, create and optimize classifiers
Carrying out the preprocessing of structured and unstructured data
Enhancing data collection procedures to include all relevant information for developing analytic systems
Processing, cleansing, and validating the integrity of data to be used for analysis
Analyzing large amounts of information to find patterns and solutions
Developing prediction systems and machine learning algorithms
Presenting results in a clear manner
Proposing solutions and strategies to tackle business challenges
Collaborating with Business and IT teams
Experience in several of the following skill clusters:
Relational databases, data marts, and data warehouses – experience with Oracle and/or PostgreSQL platforms; crafting secure and effective SQL queries
NoSQL databases – key-value, document, graph, column family
Reproducible computing – version control, software packaging, continuous integration/continuous delivery, process monitoring, and containerization
Automated workflows - programmatically author, schedule and monitor workflows using Apache Airflow, Azure Logic Apps, or similar
Distributed computing – distribute jobs for concurrent processing using Apache Spark, Databricks, or similar
Streaming data – process continuous, serial port, or micro-batch online data
Optimize workflow and clinical information systems
Expand and modify systems to serve new business purposes and improve existing processes
Complying with a strict set of guidelines
Testing, maintaining, and monitoring computer programs and systems
Troubleshooting system malfunctions
Interpreting data to find solutions to clinical issues
Creating and running data reports
Developing programs and databases that accurately capture data
Job Requirements:
Bachelor’s Degree in Computer Science, Electronics or Electrical Engineering, Software Engineering, Information Technology, or other related technical disciplines
Min Degree in IT/Business Analytics
Analytical and possess good insights
Excellent communication skills
Preferably 1-3 (Analyst) or 3-5 (Senior Analyst) years of relevant experience
Prior experience in a healthcare setting would be an advantage
Fluency in command-line shell scripting, Python, and/or R
Ability to work independently as well as in a team