Data Analyst

Our healthcare system is the leading cause of personal bankruptcy in the U.S. Every year, over 50 million Americans suffer adverse financial consequences as a result of seeking care, from lower credit scores to garnished wages. The challenge is only getting worse, as high deductible health plans are the fastest growing plan design in the U.S.

Cedar’s mission is to leverage data science, smart product design and personalization to make healthcare more affordable and accessible. Today, healthcare providers still engage with its consumers in a “one-size-fits-all” approach; and Cedar is excited to leverage consumer best practices to deliver a superior experience.

The Role

This person will report to the Sr Manager, Billing & Revenue Accounting and work cross-functionally with Data Engineering and other key stakeholders. 
They will own the client billing data that Data Engineering historically held, freeing engineering to focus on platform and infrastructure.

The desired outcome of this role is to allow for finance to: 

1. Have a robust and efficient data pipelines that ensure data accuracy
2.  Have a system in place that will support the scalability of the business
3. Have a system in place that could potentially connect to a new billing system in the future

Detailed Full-Scope Job duties: 

1. Client Billing Data Ownership & Infrastructure (50%)

• Transition billing operational tasks from Data Engineering to Finance, per the Client Billing Operating Model:
• Own monthly reconciliations, with DE providing support only for technical defects
• Lead billing investigations; escalate to DE only for system-level issues
• Define and maintain payment attribution codes (business taxonomy, not engineering)
• Determine bill eligibility per Finance policy
• Monitor billing KPIs (credit memos, leakage, unbilled revenue, Stripe/PayPal/PayZen fees)
• Serve as Finance’s first line of response for client billing support questions
• Conduct impact analyses of billing logic changes and communicate downstream effects to Finance leadership
• Proactively identify discrepancies, fee calculation errors, and revenue gaps before they reach clients
• Map data sources, identify inconsistencies, and support lightweight data governance practices
• Build Finance reports leveraging the semantic layer maintained by Data Engineering

1. Finance Self-Service & AI-Enabled Tooling (30%)

• Build and maintain BI dashboards and reports for Finance and cross-functional stakeholders