Healthcare providers go into medicine to care for people, but end up losing valuable time each day to admin work and other workplace challenges. Time that could otherwise be spent helping patients. And patients end up suffering as a result. At Commure + Athelas, we build solutions that simplify providers' lives and keep them connected to their patients so they can focus on doing what matters most: providing care.
Our innovative suite of software and hardware – augmented by advanced LLM AI, RTLS, and healthcare workflow automations – boosts efficiency across every domain of healthcare, freeing up healthcare providers to spend more of their time caring for patients. Our growing suite of technologies include staff duress alerting, asset tracking, patient elopement, revenue cycle management, clinical documentation and intake, provider copilots, patient engagement and communication, home health, remote patient monitoring, and more.
Today, we support over 250,000 clinicians across hundreds of care sites around the country. And we’re only just getting started: Healthcare’s watershed moment for AI-powered transformation is here – so join us in creating the technology to power healthcare!
About The Role
We are seeking an experienced Data Analyst to join our team responsible for collecting, cleaning, structuring, and analyzing large datasets to help inform business decisions and provide insights to customers on the utilization of our products. The ideal candidate will have strong technical skills in programming languages such as JavaScript, Python, and SQL database management, combined with the ability to leverage business software tools for data manipulation and analysis.
What You will Do:
Data Collection and Cleaning: Gather data from multiple sources, clean, and prepare datasets for analysis. Ensure data quality and integrity by identifying inconsistencies or errors and taking corrective actions.Data Structuring and Transformation: Organize raw data into structured formats, ensuring consistency and relevance for business and customer use. Develop processes to automate data cleaning and transformation where possible.Data Analysis: Use statistical methods and programming tools to analyze large datasets, identify trends, patterns, and correlations. Provide actionable insights and recommendations to inform business decisions and customer success plans.Programming and Scripting: Utilize JavaScript and Python to automate data processing, build models, and perform complex analyses utilizing tools like Retool. Write reusable and efficient code to improve data workflows.Database Management: Use SQL to query, manipulate, and manage data stored in relational databases. Ensure the optimal performance of queries and manage database integrity.Reporting and Visualization: Create clear and comprehensive reports, dashboards, and visualizations that communicate findings to both technical and non-technical stakeholders.Data Pipeline and Modeling Collaboration - Collaborate with data analysts in US teams to design and implement robust data infrastructure, leveraging dbt or similar data transformation tools to ensure efficient data modeling, pipeline automation, and scalable workflows to improve time to insight.Documentation: Maintain thorough documentation of analysis processes, methodologies, and coding practices for future reference and knowledge sharing.What We Are Looking For:
Proficiency in Python and JavaScript for data processing and analysis.Strong knowledge of SQL for querying and manipulating relational databases.Experience with data cleaning, structuring, and transformation.Strong problem-solving and analytical skills, with the ability to make data-driven decisions.Familiarity with business software (e.g., Excel, Tableau, Retool, or similar) for data analysis and visualization.Ability to work with large datasets and handle complex queries.Knowledge/willingness to learn DBT/suitable alternatives to build a modern data stack.Attention to detail and the ability to maintain high standards of data quality.Strong communication skills to effectively present complex data findings to a non-technical audience.Strong organizational and project management skills with the ability to manage multiple priorities and deadlines in a fast-paced environment.Ability to work both independently and collaboratively within a team environment.An entrepreneurial spirit, comfortable with navigating ambiguity, and possessing a keen sense of grit.Preferred Qualifications:
Bachelor’s degree in computer science, Data Science, Mathematics, Statistics, Economics, or a related field, or equivalent work experienceExperience with data visualization tools like Tableau or Retool.Familiarity with machine learning libraries in Python (e.g., pandas).Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus.Familiarity with healthcare technology (e.g., Electronic Health Record (EHR), Revenue Cycle Management (RCM) and healthcare compliance (e.g., HIPAA) (highly desirable)Details:
Shift Timing: Night Shift (10:00 PM to 7:00 AM)Workdays: Monday to FridayJob Location: On siteWhy you’ll love working at Commure + Athelas:
Highly Driven Team: We work hard and fast for exceptional results, knowing we’re doing mission-driven work to transform the country’s largest sector. Strong Backing: We are backed by top investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital and Elad Gil. Incredible Growth: Prior to our merger in late 2023, Commure + Athelas had independently grown more than 500% YoY for three consecutive years. We’ve achieved Series D funding, have an industry-leading runway, and continue to scale rapidly. Competitive Benefits: Unlimited PTO, medical, dental, vision, excellent maternity and paternity paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.Commure + Athelas is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process.
Please be aware that all official communication from us will come exclusively from email addresses ending in @
getathelas.com or @
commure.com. Any emails from other domains are not affiliated with our organization.
Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.
