Data Analyst

Doximity•San Francisco, CA

58d•$110,000 - $150,000•Remote

About The Position

Doximity is transforming the healthcare industry. Join our mission to help every physician be more productive and provide better care for their patients. As medicine's largest network in the United States, there's an elevated level of responsibility in everything we do. We don't take that responsibility lightly and are committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system. One of Doximity's core values is stretching ourselves. Even if you don't check off all the boxes below we encourage you to apply. Doximity is full of exceptional people who bring their own unique experiences to work everyday and make us all better for it! As a Data Analyst, you'll work within cross-functional delivery teams alongside other analysts, engineers, and product managers in discovering data insights to help improve healthcare. This role can be filled in our San Francisco headquarters OR remotely in the U.S.

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.
Fast learner; curiosity about and passion for data.

Nice To Haves

Prior exposure to distributed data processing concepts and execution (e.g., working with column stores, leveraging spark, etc.)

Responsibilities

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.