Essential Functions

• Understanding products' data strategy, business functionalities, and success measures to provide context for designing and building models.
• Interpreting Product/Product data mapping, leveraging strong business acumen.
• Understands basic data extraction and data transfer tools utilized
• Analyzes the use of data within products and develop integration methods in support of that projects data needs.
• Designs and builds data integration methods to guarantee accuracy as well as accessibility of all valuable data while understanding what data is important for that project and why.
• Creates and maintains accurate and relevant network documentation including diagrams, as-built documents, configuration templates, inventories and IT Service Catalog.
• Ability to conduct data profiling, cataloguing, and data mapping for technical design using a use case-based approach that drives the construction of technical data flows.
• Collecting data through means such as analyzing business results or by setting up and managing new studies
• Transferring data into a new format to make it more appropriate for analysis
• Creating new, experimental frameworks to collect data
• Building tools to automate data collection
• Searching through large data sets for usable information
• Correlating similar data to find actionable results
  
  

Required Experience

3-5 years hands-on experience with data science, AI, and big data. Experience with data engineering in Healthcare is a plus

Behavioral Competencies

• Communication is essential, must be able to listen and understand the question and develop and deliver clear insights.
• Outstanding team player.
• Independent and able to manage and prioritize workload.
• Ability to quickly and positively adapt to change.