About The Company Doximity is a leading digital platform dedicated to transforming the healthcare industry by empowering medical professionals through innovative technology solutions. With a mission to enhance physician productivity and improve patient care, Doximity has established itself as the largest and most trusted network for healthcare providers in the United States. The company fosters a culture of inclusivity, diversity, and continuous growth, committed to making a meaningful impact on the healthcare system. Over the past decade, Doximity has built a robust community that includes over 80% of U.S. physicians, 50% of nurse practitioners and physician assistants, and 90% of graduating medical students, all working towards a common goal of better healthcare delivery. About The Role The Senior Data Analyst role at Doximity offers an exciting opportunity to leverage extensive healthcare datasets to uncover behavioral patterns of medical professionals and inform strategic decision-making. This position involves creating impactful product and client-facing analytics, collaborating closely with product managers, data scientists, and developers to drive data-driven solutions. The Senior Data Analyst will play a pivotal role in shaping the data team’s strategy, participating in data ingestion, analysis, and providing actionable insights that influence product development and organizational growth. The role is ideal for a highly analytical individual with a strong background in statistical analysis, machine learning, and data visualization, who is passionate about making a tangible difference in healthcare through data innovation. Qualifications
Minimum of 4 years of professional experience as a data analyst or data scientist
Advanced knowledge of statistical concepts, including exploratory data analysis and probability theory
Exposure to machine learning techniques such as regressors and classifiers
Expertise in SQL, capable of constructing and evaluating complex queries involving multiple tables and relationships
Proficiency in Python programming, with a solid understanding of object-oriented programming principles related to data
Experience with distributed data processing frameworks like Spark and working with columnar data stores
Strong visualization skills with the ability to communicate insights effectively to stakeholders
Fast learner with curiosity and passion for data and analytics
Excellent problem-solving, communication, and collaboration skills
Responsibilities
Leverage Doximity’s extensive datasets to identify and classify behavioral patterns among medical professionals
Create and maintain product and client-facing analytical reports and dashboards
Collaborate with product managers, analysts, and developers to define data project scopes and deliverables
Participate in designing and executing data ingestion, cleaning, and transformation processes
Apply statistical and machine learning techniques to analyze data and generate actionable insights
Communicate complex data findings through compelling visualizations and storytelling to non-technical stakeholders
Assist in shaping data team strategies and contribute to organizational data initiatives
Stay updated with the latest developments in data science, analytics, and healthcare technology
Benefits
Medical, dental, and vision insurance coverage for employees and their families
401(k) retirement plan with matching contributions
Employee stock purchase plan to participate in company growth
Family planning support, Childcare Flexible Spending Account, and parental leave options
Comprehensive life, accidental death & dismemberment (AD&D), and disability insurance
Generous paid time off, holidays, and opportunities for paid company trips
Wellness benefits including mental health resources and fitness stipends
Flexible remote work arrangements and a collaborative work environment
Equal Opportunity Doximity is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, religion, color, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, sex, gender identity, gender expression, pregnancy, childbirth, breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories in accordance with applicable federal, state, and local laws. We believe that diverse perspectives and experiences are vital to our success and encourage all qualified individuals to apply.