This role will be the analytical engine supporting Rula’s Electronic Health Record (EHR) and Revenue Cycle Management (RCM) product and operations, as well as customer support
As an individual contributor, you will work closely with partners across Product, Operations, Finance, Accounting, Billing, Data, and Customer Experience, bringing well-rounded business acumen to investigate complex account questions, uncover root causes, and turn messy data into clear, actionable insights
Day to day, you will work with Product to help improve our EHR platform, through analyses of metrics, trends and experimentation
You will also dig into billing workflows, identify where things break down, and help teams make informed conclusions that improve accuracy, reduce friction, and support sustainable growth
This role sits within the Analytics organization and plays a critical part in helping Rula deliver a reliable, trustworthy experience for patients, therapists, and insurance companies
Benefits
The ability to work remotely from any location in the US
Two company-wide shut-down weeks a year for self-care
Access to 401(k) personal retirement plan
Medical, dental, and vision employer insurance plans
Paid parental leave to support you and your family
Employee Assistance Programs (EAP) through our insurance
The equipment you need for your home office
Pay and benefits that aren’t geo-locked- Strong experience in working directly on A/B testing, including experiment design, deployment, and results interpretation
Demonstrated ability to work with non-technical cross-functional stakeholders
7+ years of related professional experience in analytics or data science-focused role, with 2+ years of experience focusing on financial analytics and/or firm-level operations analysis
Deep understanding of financial metrics (e.g., CAC, billing, key accounts, retention, churn, LTV, etc.) and operational metrics (e.g. resolution time, product uptime) and experience translating data into actionable insights
Expert-level proficiency in Python and/or SQL to model predictive analytics, as well as hands-on expertise utilizing data visualization tools (Looker, Tableau, Hex, etc.)
Experience within a fast-paced, high-growth startup environment with the ability to handle dynamic and shifting analytical priorities
Expertise proposing and executing operational efficiency experimentation
Prior experience in healthcare, marketplace or financial services operations
Ability to connect analytics insights to business strategy, influencing financial and operational decisions that drive profitable growth
While having the preferred qualifications below enhances your candidacy, having all of them is not mandatory. We encourage all interested applicants to apply, even those who may not meet every preferred requirement
