Senior Product Analyst
SmarterDx is transforming how health systems use clinical AI to capture the full value of patient care delivered. Built by physician-data scientists and trained on clinically-validated EHR data, our clinical AI platform interprets the nuances behind every patient story and makes clinically-sound recommendations for revenue cycle teams — helping hospitals recover earned revenue, improve quality metrics, reduce denials, and streamline revenue cycle operations. As a Smartian, you’ll help build technology that makes healthcare more accurate, sustainable, and effective for everyone. Learn more at smarterdx.com/careers .
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.
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
Design experiments to answer business questions, including defining key metrics and applying appropriate statistical techniques to analyze results
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
Masters in statistics or other relevant fields preferred
Ownership: Build and own features from start to finish.
Strategic mindset: strong ability to connect analytics to business understanding and provide actionable insights.
Scrappiness: 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?
Familiarity with experiment design and statistical analysis
Nice To Haves
Experience with health system clinical and/or revenue cycle data is preferred
Our Tech Stack
Data Visualization: Hex and Evidence
Analysis: Python & Data Science libraries (numpy, pandas, etc)
Pipelines: Snowflake, dbt, airflow, git, and AWS
Compensation
$160,000 - $190,000
#LI-Remote Benefits
Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan.
Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents.
Remote-First Team – Work from anywhere in the U.S.
Unlimited PTO & 10 Holidays – So you can relax and recharge.
401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Fidelity with a 4% match.
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.