Data Analyst

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.

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 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.

Compensation

The US total compensation range for this full-time position is $110,000 – $150,000 (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.