About the Job

Loopback Analytics is hiring an innovative and team-oriented RWD Data Analyst who will work closely with Loopback Real World Data and Data Operations teams. This position will be a critical member of the data operations and support team and will be involved in innovating with leading-edge data lake and big data technologies.

Job Duties

Sales Engineering & GTM Support

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.

Data Analysis & Solution Delivery

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.

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.

Personal Characteristics

Data-driven and analytically rigorous, with a focus on delivering client value.
Creative, resourceful, and comfortable with ambiguity.
Strong collaborator who thrives in a team-oriented, rapidly evolving environment.

Rated as one of the best places to work in Dallas by the DBJ, Loopback Analytics is a leading provider of data-driven solutions for hospitals and health systems. The company’s comprehensive analytics platform drives growth for specialty and ambulatory pharmacy programs while connecting pharmacy activities with clinical and economic outcomes. Loopback’s clients include leading academic medical centers and health systems. For more information about Loopback Analytics, please visit our website at www.loopbackanalytics.com.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.

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