Data Analyst

Data Analyst to support enterprise client implementations focused on shadow adjudication within a healthcare/claims environment.
Shadow adjudication is the process of reprocessing claims through a new system and comparing the outcomes against the legacy system to validate accuracy and identify differences. This role will be responsible for transforming large, complex claims datasets into formats compatible with adjudication systems (Judi), performing detailed analysis on outcome differences, and generating insights that support client go-lives.
This is a hands-on, coding-heavy role with a strong emphasis on Python-based data transformation and analysis. The position sits within a data science team but is execution-focused, partnering closely with Implementation and Data Science teams. This individual will take ownership of a defined shadow adjudication workflow for a client implementation, ensuring accuracy, completeness, and timely delivery.
Work is aligned to client implementation timelines, typically operating in 1?2 month cycles leading up to go-live.
________________________________________
Key Responsibilities
? Transform and prepare large-scale claims datasets for ingestion into adjudication platforms (Judi)
? Write and maintain Python-based data pipelines using Pandas; experience with Polars or PySpark preferred for large-scale data processing
? Analyze claims data by comparing legacy vs. new system outputs to validate adjudication accuracy and identify discrepancies
? Take ownership of a specific shadow adjudication workflow for client implementations, driving it end-to-end
? Perform exploratory data analysis to uncover trends, inconsistencies, and data quality issues
? Generate reporting and visualizations using Tableau or Power BI
? Partner closely with Implementation and Data Science teams to support client onboarding and go-live readiness
? Ensure data accuracy, integrity, and proper formatting across all deliverables
? Communicate findings, risks, and progress to internal stakeholders
________________________________________
Required Qualifications
? Bachelor?s degree in Computer Science, Data Science, Statistics, or related field
? 3?6+ years of experience in data analysis or similar hands-on data roles
? Strong proficiency in Python for data processing (Pandas required; Polars or PySpark preferred)
? Strong SQL skills
? Experience working with large datasets
? Experience with BI tools (Tableau or Power BI)
? Familiarity with cloud platforms (AWS, Google Cloud Platform, or similar)
? Solid understanding of statistics and data analysis techniques
________________________________________
Preferred Qualifications
? Experience working with healthcare claims data or PBM environments
? Exposure to adjudication systems or similar data validation workflows
? Experience with unstructured data
? Familiarity with machine learning libraries (e.g., scikit-learn)
________________________________________
Success Profile
? Highly curious and investigative with strong problem-solving ability
? Detail-oriented with a focus on data accuracy
? Comfortable working in fast-paced, deadline-driven implementation cycles
? Strong collaborator who can work cross-functionally with technical teams
? Able to take ownership of a process and drive it end-to-end


Benefits:

York Solutions Offers a generous benefits package for eligible full-time employees:

• BCBS Medical with 3 Plans to choose from (PPO and High deductible PPO plans with Health Savings Program)
  
• Delta Dental plan with 2 free cleanings and insurance discounts
  
• Eye Med Vision with annual check-ups and discounts on lens
  
• Life and Accidental Death Insurance paid by company
  
• John Hancock 401(k) Retirement Plan with discretionary company match
  
• Voluntary Insurance programs such as: Hospital Indemnity, Identity Protection, Legal Insurance, Long Term Care, and Pet Insurance.
  
• Flexible work environment with some remote working opportunities
  
• Strong fun and teamwork environment
  
• Learning, development, and career growth