Data Operations Analyst

January 4

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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

• Meet organization objectives by delivering comprehensive platforms in accordance with client expectations. • Troubleshoot and resolve functional issues, performance issues, security issues, etc. • Support daily data integration processes for business continuity and maximum delivery of services. • Support multiple data feeds and troubleshoot issues as they arise. • Analyze and resolve data related problem tickets. • Monitor, maintain and optimize Loopback internal data integration tools and processes. • Work effectively with and support multiple departments within the company. • Prepare reports and dashboards to track the performance and health of data integration processes. • Document data integration processes, data flows, mappings, and transformation rules.

🎯 Requirements

• 2+ years’ experience as a Data Operations Analyst with cloud computing resources, especially Big Data platform such as Databricks, Snowflake, etc. • Experience supporting active data pipelines, monitoring operations, optimizing performance, recovering from failures. • Proficiency in data related programming languages, preferably SQL, Python, Scala, or R. • Familiarity with CI/CD technologies such as Git, Azure DevOps, Airflow. • Proven ability to work creatively and analytically to solve business and technical problems in team-oriented environments. • Experience in supporting a ETL pipelines in an environment that handles personal health information in compliance with HIPAA and other applicable regulations is a plus. • Experience with healthcare data a plus, including clinical records, health claims. • Proven capabilities of troubleshooting, analysis and problem solving as applied to complex projects.

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