Role
We’re seeking a Senior Data Analyst specializing in product analytics to help shape the future of our revenue cycle management platform. In this highly cross-functional role, you'll collaborate with product managers, engineers, and business stakeholders to gauge opportunities, guide strategy, and inform decisions with data. You’ll explore new datasets, build prototypes, monitor performance, and measure the product impact. This role offers a unique chance to take a leading role in delivering on an ambitious product roadmap using data to enhance the operational efficiency of healthcare providers.
SmarterDx builds clinical AI that empowers hospitals to analyze the complete record of every patient to fully capture the value of care delivered. Founded by physicians in 2020, its proprietary AI platform understands the nuances of clinical reasoning, enabling hospitals to true the patient record for every discharge. By doing so, hospitals can recover millions in earned revenue, enhance care quality metrics, and optimize healthcare operations. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers.
**This role is fully remote within the US**
What You'll Do
- Partner with product managers and engineers to translate business goals into analytical requirements, perform exploratory analyses, and clearly communicate findings to support strategic decisions
- Prototype analytics solutions and data products to accelerate product development
- Translate analytical findings into compelling data stories through clear visualizations that help stakeholders quickly grasp trends, patterns, and implications
- Becoming an expert in our data stack: how we get the data from customers, how we normalize that data, and how internal teams and customers consume that data
- Building, maintaining, and testing data models which support reporting and analytics.
- Uphold high standards for code quality and documentation, while contributing to a culture of peer review and continuous learning
What You Bring
- 3-5+ years' experience as a data analyst or product data scientist (or, if your y-intercept is lower, evidence that your slope is super steep)
- Strong technical skills: querying data with SQL, transforming data with dbt to shorten time to insight, performing analysis with python, and communicating findings with compelling data visualizations
- Ownership: Build and own features from start to finish.
- Strategic mindset: strong ability to connect analytics to business understanding and provide actionable insights.
- Scrapiness: Navigate ambiguity effectively, understanding when it’s necessary to piece solutions together on the fly, and be able to do so.
- Product focus: How can we maximize the utility and value we deliver to our end users?
Nice To Haves
- Experience with health system clinical and/or revenue cycle data is preferred
- Familiarity with experiment design and statistical analysis
Our Tech Stack
- Data Visualization: Hex and Evidence
- Analysis: Python Data Science libraries (numpy, pandas, etc)
- Pipelines: Snowflake, dbt, airflow, git, and AWS
Compensation
$150,000 to $180,000 base + equity
Benefits
- Medical, Dental Vision – Comprehensive plans with leading insurance providers, covering 90-100% of your premiums and 70-90% for dependents, depending on the plan.
- One Medical Membership – Free membership included if you enroll in a SmarterDx medical plan.
- Paid Parental Leave – Up to 12 weeks of paid leave for birth or adoption.
- Remote-First Team – Work from anywhere in the U.S. with a $400 home office reimbursement stipend.
- Unlimited PTO 10 Holidays – 4 of which include floating holidays so you can recognize the days that matter most to you.
- Learning Development Budget – $500 per year (prorated) for courses, books, and resources to expand your skills.
- 401(k) with Traditional Roth Options – Tax-advantaged retirement savings through Empower.
- Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters.
- Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues.
Originally posted on Himalayas
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