[Hiring] Senior Data Analyst @Vytwo

Role Description

We are seeking a Senior Data Analyst to support the development of a Claims Reconciliation Hub. This role will focus on defining and analyzing matching criteria between pre-service member- and provider-facing cost estimates and actual medical claims submitted and adjudicated across multiple lines of business.

The ideal candidate brings extensive healthcare claims data experience, strong Snowflake and data warehousing capabilities, and a working knowledge of health plan claims processing. This individual will partner closely with business analytics stakeholders to:

• Identify relevant data sources
• Interpret complex claims data elements
• Trace claim activity through the adjudication lifecycle
• Uncover patterns that support accurate estimate-to-claim matching

Qualifications

• 5+ years of experience as a Data Analyst supporting data warehousing, enterprise data, and healthcare data initiatives.
• 3+ years of internal experience analyzing healthcare claims data and core healthcare data assets, including enterprise data warehouse environments such as UDW.
• Experience working with healthcare claims platforms, including CSP Facets, UNET, COSMOS, and USP.
• Strong understanding of medical claims coding, billing, processing, adjudication, and payment workflows.
• Familiarity with member, subscriber, provider, and plan identifiers and their use across claims data.
• Knowledge of core claims processing capabilities, including:
  • Benefit determination
  • Claims editing
  • Prior authorization matching
  • Documentation or medical-record requests
  • Contract-based pricing
  • Deductible and out-of-pocket accumulators
  • Payment and batching processes
• Experience using Snowflake for data analysis, data exploration, and querying healthcare data.
• Strong analytical and problem-solving skills, with the ability to identify patterns across complex claims-processing data.
• Excellent communication, collaboration, and stakeholder-management skills.
• Ability to work independently and effectively in a fast-paced, dynamic project environment.
• Must be U.S.-based and available for meetings between 8:00 a.m. and 5:00 p.m. ET.

Requirements

• Experience using AI/ML tools, models, or analytical techniques to support data analysis, pattern identification, reconciliation, or healthcare analytics.
• Experience supporting healthcare cost-estimation, price-transparency, member financial responsibility, or claims reconciliation initiatives.
• Experience designing or documenting data-matching logic, reconciliation rules, or cross-platform data lineage.

Benefits

• This is a remote position.