Data Analyst

Scan.com

Data Analyst at Scan.com improving healthcare outcomes by building data products and analytics tools. Collaborate with operations, finance, and marketing to drive insights.

Posted 4/23/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $120,000 - $160,000 per yearWebsite

Tech Stack

Tools & technologies

BigQueryCloudPandasPythonSQLTableau

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLdbtdata transformationTableauPythondata ingestiondata modelingCI/CD practicesdata quality standardspredictive modeling

Soft Skills

stakeholder managementcommunicationproblem-solvingadaptabilityprioritizationcollaborationanalytical thinkingattention to detailambiguity tolerancetranslating business language