Data Analyst

🕒 May 15

🏄 California – Remote

🏄 California – Remote

💵 $110k - $150k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📉 Data Analyst

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Doximity

WebsiteLinkedInAll Job Openings

501 - 1000 employees

⚕️ Healthcare Insurance

📡 Telecommunications

☁️ SaaS

💰 Secondary Market on 2019-08

Healthcare Insurance • Telecommunications • SaaS

Doximity is a professional medical network for physicians that enables secure communication and collaboration among healthcare providers. With features such as HIPAA-compliant messaging, video calls, and telemedicine solutions, Doximity helps doctors and medical professionals connect with their patients efficiently and securely, streamlining their workflow and improving patient care. The platform serves as a comprehensive resource for medical professionals, offering news, research access, and a directory for networking.

📋 Description

• Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform. • Play a key role in creating both product and client-facing analytics. • Inform data team strategy by working with the product leaders and managers. Actively participate in execution and some planning of organizational data team strategy. • Collaborate with a team of product managers, analysts, and other developers to define and lead data projects from data ingestion to analysis to recommendations.

🎯 Requirements

• At least 2 years of professional experience as a data analyst or a data scientist. • Knowledge of statistical concepts, especially exploratory data analysis techniques, and probability theory. • Excellent SQL skills to create and evaluate complex statements involving numerous tables and data relationships. • Excellent visualization and storytelling skills to explain your results and solutions to the stakeholders, clearly and compellingly. • Proficient in using Python data analysis libraries such as Pandas and Numpy. Also has a basic understanding of the object-oriented programming concepts as it relates to Python. • Prior exposure to distributed data processing concepts and execution (e.g., working with column stores, leveraging spark, etc.) • Fast learner; curiosity about and passion for data.

🏖️ Benefits

• Medical, dental, vision offerings for you and your family • 401k with matching program • Employee stock purchase plan • Family planning support, Childcare FSA, and parental leave • Life, AD&D, and Disability • Generous time off, holidays and paid company trips • Wellness benefits…plus many more!