Data Analytics Manager

Company: Doximity, Inc.
Location: San Francisco
Posted on: November 6, 2024

Job Description:

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 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 every day and make us all better for it!
As a Data Analytics Manager, 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.
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.
  
• Contribute as part of a cross-functional team of product managers, analysts, and engineers to define and lead data projects from data ingestion to analysis to recommendations.
  
• Collaborate with Doximity's Data Leadership team to ensure alignment and success across the entire Data Organization.
  
• Manage individual Data Analysts to foster learning, growth and success at Doximity.
  
  About You
  
  • 
    
  • You have at least 5 years of industry experience as a data analyst or a data scientist.
    
  • You have experience managing 4 or more people whereby you were accountable for their growth and success as individuals and team members.
    
  • You excel at communicating to both technical and non-technical people, with an ability to explain complex concepts simply.
    
  • You are able to contribute individually, outside of your reports or team by taking on analysis and recommendation driven projects leveraging SQL and Python.
    
  • You are proficient in SQL and Python for hands-on analysis involving numerous tables and data relationships, and are familiar with object-oriented programming concepts as it relates to Python.
    
  • You have an advanced understanding of probability and statistics (e.g., experimental design, optimization, predictive modeling).
    
  • You can balance priorities between being a player (i.e. individual contributor) and a coach (i.e. manager or mentor).
    
  • Fast learner, collaborative attitude and a natural curiosity and passion for data.
    
    Compensation
    The US total compensation range for this full-time position is $170,000 - $220,000 (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 offerings include: -
    
    • 
      
    • 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!
      
      #J-18808-Ljbffr

Keywords: Doximity, Inc., Lodi , Data Analytics Manager, Executive , San Francisco, California