Business Intelligence Analyst

Doximity

. Work closely with Product, Strategic Analytics, Client Success, and Sales teams to create client-facing analyses .

Posted 10/9/2026contractRemote • California • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL and Python for data analysis, with a strong ability to collaborate with cross-functional teams and present complex data insights to non-technical stakeholders. Proficient in data visualization and leveraging AI tools to enhance workflows in the healthcare industry.

Highest-signal resume keywords

SQL ProficiencyPython ProgrammingData Visualization ToolsHealthcare Industry ExperienceCollaboration with Non-Technical Stakeholders

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData VisualizationAdvanced ExcelStatisticsNumpyPandasStatsmodelsMatplotlibAI Coding Assistants

Soft Skills

CollaborationCuriosityReliabilityPrecisionRespect for Teammates and Clients

Industry Keywords

HealthcareClient-Facing AnalysesBehavioral PatternsData ProductsAutomated Code

Tech Stack

Tools & technologies

NumpyPandasPythonSQL

About the role

Key responsibilities & impact

Work closely with Product, Strategic Analytics, Client Success, and Sales teams to create client-facing analyses
Create data products from scratch and automate code for reuse by other teammates
Continue improving technical and non-technical skill sets
Leverage extensive datasets to identify and classify behavioral patterns of medical professionals on the platform
Develop toward a presentation/communication-focused role or deeper technical challenges

Requirements

What you’ll need

Three (3) years of experience illustrating collaboration, passion for data, reliability, precision, curiosity, and respect for teammates and clients
Excellent SQL skills with proven ability to create and evaluate complex SQL statements involving numerous tables and complex relationships
Fluent in Python and experience using common modules (numpy, pandas, statsmodels, matplotlib) for EDA
Experience collaborating with non-technical stakeholders
Working knowledge of statistics and visualization
Experience working with data visualization tools
Advanced Excel skills
Experience using AI coding assistants and building AI-leveraged workflows
Experience working in the healthcare industry
Experience presenting data to a non-technical audience

Benefits

Comp & perks

Flexible ways of working
Autonomy to own your work
Mentorship and professional development
Inclusive culture where diverse perspectives are welcomed, respected, and celebrated
Meaningful challenges and opportunities to develop new skills
Opportunity to work on products supporting healthcare professionals and improving patient care