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Scan.com logo
Scan.com

Making medical imaging accessible to everyone around the world

Data Analyst

Data AnalystData AnalystFull TimeRemoteSeniorTeam 201-500Since 2017H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

32 days ago

Salary

$120K - $160K / year

Seniority

Senior

Bachelor DegreeExperience acceptedEnglishBigQueryCloudPandasPythonSQLTableau

Job Description

Data Analyst

Scan.com

• 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. You should be able to identify if the ask needs refinement before the work begins • Design and ship Tableau dashboards and data products that automate reporting that currently requires manual effort, permanently removing recurring analytical burden from the team • Identify gaps in our data coverage and work with engineering or independently to close them — whether that means writing a Python ingestion pipeline or modeling a new source • Maintain data quality standards across the warehouse: write dbt tests, monitor for anomalies, and ensure that the numbers stakeholders see are trustworthy • Contribute to the team's analytical infrastructure. This means shared macros, source definitions, documentation standards, and CI/CD practices. • Stretch into data engineering or data science as business needs demand and for your own personal development: pipeline development, ML feature preparation, or predictive modeling are all on the table for the right candidate

Job Requirements

  • Strong SQL: you write complex queries fluently, understand query performance, and don't need a template to construct a multi-stage transformation
  • Hands-on experience with a modern data transformation tool, ideally dbt or SQLMesh. You understand the model DAG, have written tests and documentation, and are familiar with CI/CD practices in a transformation layer
  • Experience with a modern cloud data warehouse, ideally Snowflake or BigQuery — you understand how storage and compute interact and can write warehouse-idiomatic SQL
  • Proficiency with a BI tool such as Tableau, Metabase, Sigma, or Omni — you can design a dashboard that stakeholders actually use, not just one that technically answers the question
  • Strong stakeholder instincts: you have worked directly with non-technical stakeholders to scope and deliver analytical work, and you know how to translate between business language and data model logic
  • Python for data work is a strong plus. Ingestion pipelines with libraries like dlt, pandas-based transformation scripts, or scripted automation of manual reporting processes
  • Startup experience is a plus. You are comfortable with ambiguity, can prioritize without perfect information, and don't need a fully defined ticket to get started
  • Healthcare experience is a plus, particularly in imaging, RCM, or provider operations — but strong analytical fundamentals in any high-velocity domain are equally valued.

Benefits

  • 401k
  • Healthcare, Vision, and Dental
  • All equipment needed to do your role effectively
  • Flexible and remote/hybrid working options
  • Personal development budgets
  • 18 days PTO plus public holidays
  • 10 paid sick days
  • Inclusive policies designed by our team, for our team

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