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Data Analyst, Reporting Partnerships

Doximity

hybridmidpermanentdata Anywhere in the World Yesterday via WWR
77,000 - 134,000 USD/annual

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Tags

SQLPythonData QABusiness AnalyticsReportingClient MeasurementData ProcessingPython ScriptingPerformance ReportingStakeholder Management

About the role

Role overview

Data Analyst, Reporting Partnerships (Commercial Data & Analytics) Generate physician-level reporting that powers client measurement and analysis. The role can be based in San Francisco (HQ) or remotely within the U.S.

Responsibilities

  • Generate and maintain Python-based client reporting used for client measurement.
  • Deliver new Python scripts for reporting use cases (adapt templates or build custom scripts end-to-end).
  • Conduct daily QA of reporting outputs and serve as a point-of-contact for teammates’ SQL and Python questions.
  • Create and maintain aggregate reports using Python and SQL.

Requirements

  • 2+ years of professional experience in business analytics or performance reporting.
  • Strong SQL skills, including writing and evaluating complex queries across multiple tables and relationships.
  • Python fluency with hands-on experience building, maintaining, and debugging data processing/reporting scripts.
  • Experience stepping into client-facing contexts, translating technical solutions for non-technical audiences.
  • Strong organization and attention to detail, able to manage multiple deadlines.
  • Proactive, ownership-oriented approach; comfortable working through scripting updates independently and escalating when needed.
  • Continuous improvement mindset: automate operations, improve code quality, and deliver faster/more accurate reporting.

Nice to have

  • Experience with AI-assisted coding and emerging technologies (mentioned as part of the team culture/approach).

About Doximity

Doximity is transforming the healthcare industry with a large physician network in the United States. The company builds products that help physicians be more productive and provide better care, backed by a commercial data and analytics organization.

Scraped 8/2/2026