Technical Business Analyst

December 8, 2024

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Logo of Loopback Analytics

Loopback Analytics

Loopback Analytics is a company that connects health systems and life sciences to help understand the patient journey and improve access to care. They offer solutions for health system specialty pharmacies and provide modules designed by pharmacists to facilitate assessment and reporting. Loopback Analytics uses anonymized real-world patient data across the United States to help understand diagnoses, compare drug uses, and engage with therapy-specific outcomes. They focus on various therapeutic areas such as multiple sclerosis, rheumatology, and cystic fibrosis. The company also provides payor access services, aiding in payor contracting and reporting. Loopback Analytics aims to bridge gaps within healthcare by leveraging data insights for improved care delivery and patient outcomes.

Population Analytics • Evidence-Based Models • Post-Acute Care Coordination • Medication Adherence • Community-Based Services

51 - 200 employees

Founded 2009

⚕️ Healthcare Insurance

💊 Pharmaceuticals

🧬 Biotechnology

💰 Private Equity Round on 2023-06

📋 Description

• Collaborate and Gather Insights: Partner with stakeholders, project managers, and technical teams. • Define Data Solutions: Work alongside data architects and engineers on data mapping. • Manage Data Assets: Develop and maintain a Business Data Catalog. • Analyze Healthcare Data: Review and interpret data from clients' systems. • Ensure Compliance: Establish data specifications aligning with industry standards. • Create Detailed Documentation: Prepare requirements, use cases, workflows, and diagrams. • Optimize Processes: Review data integration processes for enhancements. • Report and Track Performance: Share reports on integration performance. • Lead Stakeholder Engagements: Facilitate meetings and discussions. • Communicate Status Updates: Provide project status updates to stakeholders. • Support Daily Operations: Assist with daily data mapping activities.

🎯 Requirements

• In-depth knowledge of EHR systems (e.g. EPIC, Cerner, or Allscripts) • Understanding of clinical workflows, medical terminology, and healthcare data • Understanding of data management principles, data integration, and data quality • Experience writing data specifications, preferably HL7, FHIR or ETL/ELT pipelines

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