GHX is a software-as-a-service company that’s reducing the cost of doing business in healthcare by automating supply chain processes and improving visibility into the products used in patient care. We’ve built the GHX Global Network, the world’s largest community of healthcare trading partners, connecting supply chain, finance and clinical professionals with their suppliers. Our cloud-based technology makes it easier for customers to drive costs out of the healthcare supply chain. Since 2010, we’ve saved the healthcare industry $5+ billion. Today we’re expanding our solutions to further enhance data management and allow integration of clinical and business systems.

The Industry We Serve

Our focus is on the healthcare supply chain, through which hospitals and their suppliers buy and deliver the thousands of medical-surgical supplies that clinicians need to effectively care for patients. For most hospitals, supply chain costs are the second largest and fastest growing operational expense, so reining in these costs is imperative.

Our Products and Services

At the heart of GHX is the GHX Exchange, a platform that connects healthcare providers and suppliers so they can work together electronically. This helps lower costs and simplifies supply chain management by eliminating error-prone, manual order processes.

GHX solutions include:

An open and neutral electronic trading exchange

Procurement and accounts payable automation

Content, contract and inventory management

Business intelligence and reporting

Standards enablement and data synchronization

Reporting to the Supervisor, SW Engineering, the Data Analyst III, is responsible for analyzing, reporting and enriching platform data. As part of the Common Data Platform Team, your work will enable capabilities for GHX’s data and analytics solutions utilized by hospitals and suppliers.  This role is responsible for independently analyzing, debugging, documenting, and modifying data to ensure high quality data for the consumers.

Duties And Responsibilities (5-8 Bullets)

• Identify patterns and connections across varying data sets to enrich master data catalogue
• Continually evaluate processes to create new efficiencies in data cleansing activities and analysis; and identify areas of automation.
• Write flexible, reusable, and efficient code utilizing best practices such as maintaining documentation and using version control.
• Conduct impact analysis that informs automation work and report to the stakeholders
• Performs other duties as assigned such as optimizes queries and procedures, debugs and resolves issues, analyzes business requirements with teammates to formulate and support design and documentation
• Support the design process through ETL processes using PL/SQL, SQL, Python or Spark

Qualifications

• Bachelor’s degree in computer science, or related discipline
• 5-8 years of professional work experience analyzing and finding insights in large data sets
• Experience with the Snowflake database platform and Sigma BI tool
• Proven analytic skills, including mining, evaluation, analysis, and visualization
• Ability to learn rapidly and adapt quickly to changing situations.
• Detail-oriented and thorough

Preferred Qualifications

• Familiarity with data science tools, like python or R, is a plus.
• Familiarity with healthcare data rules and standards (such as HIPAA) from working with health or healthcare data (healthcare supplies procurement, purchasing, logistics, or data from EHR/EMR systems like Epic or Cerner) is a plus.
• Supply chain background is a plus.