Senior Data Analyst

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!

About Us

• Here are some of the ways we bring value to doctors
• Here is an introduction to our tech stack 
• We use UNIX command-line interface and standard programming tools (vim/emacs, git, etc.) and have over 350 private repositories in Github containing our applications, forks of gems, our own internal gems, and open-source projects
• We have worked as a distributed team for a long time; we're currently about 65% distributed
• Find out more information on the Doximity engineering blog
• Our company core values
• Our recruiting process
• Our product development cycle
• Our on-boarding & mentorship process

Here's How You Will Make an Impact

• 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.

About you

• At least 4 years of professional experience as a data analyst or a data scientist.
• Advanced knowledge of statistical concepts, especially exploratory data analysis techniques, and probability theory. Some exposure to machine learning methods (regressors, classifiers, etc.).
• Advanced SQL skills to create and evaluate complex statements involving numerous tables and data relationships.
• Proficient in Python and well versed in object-oriented programming concepts as it relates to data and Python.
• Proficient in distributed data processing concepts and execution (e.g., working with column stores, leveraging spark, etc.)
• Excellent visualization and storytelling skills to explain your results and solutions to the stakeholders, clearly and compellingly.
• Fast learner; curiosity about and passion for data.

Compensation

The US total compensation range for this full-time position is $130,000 - $190,000 (inclusive of salary + equity). Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. Please note that the compensation listed does not include benefits.

More on /Benefits/Perks 

Doximity is proud to offer industry-leading benefits to our full time employees. Some of our o