Data Analyst

Scan.com•Atlanta, GA

13d•Hybrid

About The Position

We’re Scan.com, a digital health scale-up focused on making diagnostics accessible, fast, and transparent. Our technology accelerates diagnoses for timely treatments, positively impacting hundreds of patients daily. We offer tailored solutions for both patients and providers, supported by our technology and a world-class customer operations team. Our B2C marketplace simplifies scan booking, akin to booking a hotel. Our B2B platforms provide live scheduling at the point of care and utilize AI to streamline workflows for physicians, attorneys, and providers. We are experiencing significant growth, having raised over $100M in VC funding, achieved profitability, and maintaining a YoY growth rate exceeding 100%.

Requirements

Strong SQL: ability to write complex queries fluently, understand query performance, and construct multi-stage transformations without a template.
Hands-on experience with a modern data transformation tool, ideally dbt or SQLMesh, including understanding the model DAG, writing tests and documentation, and familiarity with CI/CD practices in a transformation layer.
Experience with a modern cloud data warehouse, ideally Snowflake or BigQuery, including understanding storage and compute interaction and writing warehouse-idiomatic SQL.
Proficiency with a BI tool such as Tableau, Metabase, Sigma, or Omni, capable of designing dashboards that stakeholders actively use.
Strong stakeholder instincts: experience working directly with non-technical stakeholders to scope and deliver analytical work, and ability to translate between business language and data model logic.

Nice To Haves

Python for data work (ingestion pipelines with libraries like dlt, pandas-based transformation scripts, or scripted automation of manual reporting processes).
Startup experience: comfort with ambiguity, ability to prioritize without perfect information, and ability to start work without a fully defined ticket.
Healthcare experience, particularly in imaging, RCM, or provider operations.

Responsibilities

Build and maintain dbt models that transform raw source data into reliable, well-documented, tested analytical assets used across the business.
Partner with stakeholders across Operations, Finance, Marketing, Sales, and Product to translate ambiguous business questions into precise analytical deliverables, identifying if the ask needs refinement before work begins.
Design and ship Tableau dashboards and data products that automate reporting currently requiring manual effort, permanently removing recurring analytical burden from the team.
Identify gaps in data coverage and work with engineering or independently to close them, potentially by writing a Python ingestion pipeline or modeling a new source.
Maintain data quality standards across the warehouse by writing dbt tests, monitoring for anomalies, and ensuring stakeholder-facing numbers are trustworthy.
Contribute to the team's analytical infrastructure, including shared macros, source definitions, documentation standards, and CI/CD practices.
Stretch into data engineering or data science as business needs demand and for personal development, including pipeline development, ML feature preparation, or predictive modeling.