Senior Product Analyst, SmarterDx

• 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?

Desirable

• 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
• 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
• Our Tech Stack:
• Data Visualization: Hex and Evidence
• Analysis: Python & Data Science libraries (numpy, pandas, etc)
• Pipelines: Snowflake, dbt, airflow, git, and AWS