Loopback Health · 5 months ago
Real World Data Analyst
Loopback Analytics is a leading provider of data-driven solutions for hospitals and health systems. They are seeking a Real World Data Analyst to act as a technical expert for real-world data products, analyze healthcare datasets, and collaborate with cross-functional teams to improve data quality and support client needs.
AnalyticsHealth CareInformation Technology
Responsibilities
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)
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
Qualification
Required
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
Preferred
Experience supporting sales, pre-sales, or customer delivery in a SaaS or data product organization
Familiarity with HIPAA, de-identification, and regulatory frameworks for health data
Experience building and presenting data visualizations in Tableau, Power BI, or similar
Advanced degree in a relevant field a plus
Company
Loopback Health
Founded in 2009, Loopback Health is a leading provider of data analytics and insights that simplify understanding, access and innovation for patients requiring specialty care.
H1B Sponsorship
Loopback Health has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
Funding
Current Stage
Growth StageTotal Funding
$0.6MKey Investors
PSG Equity
2023-06-08Private Equity
2013-06-11Seed· $0.6M
Recent News
2025-10-07
Company data provided by crunchbase