Real-World Data Analyst

Job not on LinkedIn

August 29

🤠 Texas – Remote

Although this job is listed in Texas, this company may be open to hiring remote in other states.

💵 $80k - $100k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📉 Data Analyst

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Loopback Analytics

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Healthcare Insurance • Pharmaceuticals • Biotechnology

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.

51 - 200 employees

Founded 2009

⚕️ Healthcare Insurance

💊 Pharmaceuticals

🧬 Biotechnology

💰 Private Equity Round on 2023-06

📋 Description

• Act as the technical expert for real-world data (RWD) and life sciences data products during sales cycles, client presentations, and discovery calls. • Translate customer cohort definitions and research questions into clear data requirements and feasibility analyses. • Communicate complex data capabilities, data quality, and limitations to both technical and non-technical stakeholders. • Develop and present proofs of concept (POCs) using internal data warehouse resources to demonstrate Loopback’s ability to support specific research or business questions. • Partner closely with Sales and GTM teams to refine messaging and solution positioning based on data capabilities. • Analyze Loopback’s large-scale healthcare data warehouse (claims, EHR, pharmacy, etc.) to create cohort extracts and deliverables for customers and partners. • Support data delivery, custom analytics, and ad-hoc data pulls as required by the customer lifecycle. • Conduct exploratory analyses to assess the feasibility of new use cases or data sources. • Synthesize and communicate analytical findings in client-ready formats (slide decks, visualizations, technical summaries). • Cross-Functional Collaboration & Continuous Improvement: Collaborate with GTM and Operations teams to improve data quality, documentation, and product features. • Gather and document customer feedback to inform future data product development. • Maintain up-to-date knowledge of privacy, security, and regulatory considerations for healthcare data, supporting compliance in all client-facing work.

🎯 Requirements

• Bachelor's degree in a quantitative or life sciences field (e.g., Statistics, Bioinformatics, Epidemiology, Computer Science, Pharmacy, Public Health, or related). • 2+ years’ experience working with large healthcare datasets (claims, EHR, or pharmacy data) in an analytics or data science capacity or working in a clinical setting. • Demonstrated client-facing experience (Sales Engineer, Solutions Architect, Customer Analytics, or similar) supporting the sales or delivery of data products/services. • Proficiency in SQL and at least one scripting/statistical language (Python, R). • Experience with cloud data platforms (Snowflake, Databricks, Azure, or AWS). • Exceptional problem-solving skills with the ability to break down ambiguous client questions into actionable analyses. • Strong communication skills, both verbal and written, with an ability to explain complex data concepts to non-technical audiences. • Comfortable working in a fast-paced, cross-functional team environment.