We are on an ambitious mission to transform healthcare delivery by enabling autonomous practices. Our ultimate impact is to allow more patients to be served well, timely, and affordably by their providers of choice, through tech-enabled solutions.

We empower nurse practitioners and physician assistants with the marketing, software, and human resources needed to succeed in providing profitable telehealth services online.

We're looking for an experienced data analyst to join our team. The ideal candidate should be comfortable working in a fast-paced startup environment, and have experience handling data from multiple sources. Your role will be to analyze data, spot trends and patterns, and use your findings to give actionable recommendations that help our business grow. You'll need to communicate your insights clearly to different teams and stakeholders.

This is a hybrid role based out of the San Francisco Bay Area and requires one to be in the office at least 3 days a week. This person will need to regularly meet with members of our product, operations, customer support, and marketing teams primarily based in PST, but will occasionally require collaboration with our engineering team based in China. Because we see analytics as a key role in product development, this person will be a critical member of our product team.

Primary Responsibilities:

• Work closely with cross-functional teams to identify key business questions and data needs
• Collect, process, and analyze large datasets using SQL, Python, or other programming languages
• Develop visualizations, dashboards, and reports to communicate insights and findings to stakeholders
• Conduct A/B tests and experiments to optimize product and business performance
• Continuously monitor and evaluate data quality to ensure accuracy and completeness
• Write ETL systems to pull and transform data for analysis
• Collaborate with other department stakeholders to ensure best practices across the company
• Stay up-to-date with the latest trends, technologies, and tools in data analysis and data visualization

Qualifications:

• 3-5 years of experience in an analytical role or related quantitative field
• Experience with manipulating and visualizing data in Python or other programming languages
• Experience in data engineering, like building or modifying a data transformation pipeline
• Advanced proficiency in SQL
• Strong ability to analyze and draw conclusions from large datasets
• Experience with a/b testing and experimental design
• Ability to work independently and manage multiple projects simultaneously
• Excellent communication skills and ability to present findings to non-technical stakeholders

Big Plus

• Experience working in early-stage startups or other high-velocity environments with limited data infrastructure/direct support
• Knowledge about and/or experience working in the US healthcare industry