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PACIFICSOURCE
1001 – 5000 Darbinieki
PACIFICSOURCE ir 1933. gadā dibināts veselības apdrošināšanas plānu uzņēmums. Tajā strādā aptuveni 1 001–5 000 darbinieku, tādēļ tas ir nostiprinājies veselības aprūpes seguma nozarē.
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Vakances uzņēmumā

Value-Based Payments Data Analyst II – PacificSource (Remote, Virginia)

Support PacificSource’s health insurance reporting, value-based payment analysis, and employer analytics. Extract and validate data, build visualizations, and contribute to financial reporting.

USAmerikas Savienotās ValstisVAVirdžīnija
64 871 $ – 110 281 $ / gads
AttālinātiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuDatu analītiķis
SQLTableau

Apraksts

  • Coordinate data support for critical business analysis and reporting.
  • Extract, clean, transform, and prepare data from warehouses and other sources with tools such as T-SQL and SAS.
  • Help build interactive visualizations in Tableau or Microsoft Power BI.
  • Create reports, analytical solutions, and processes for RFPs, large employers, ASO, and state and federal requests.
  • Analyze value-based payment terms and assist with monthly reporting and financial reconciliation.
  • Explain complex data, analyses, and findings clearly to teams.
  • Create and maintain documentation, training materials, and job aids.
  • Assess how business changes affect risk-report specifications.
  • Conduct ad hoc analyses of cost and utilization opportunities.
  • Assist with quality assurance through data validation, unit tests, error checks, and other validation processes.
  • Build knowledge of health insurance and assigned analytics support areas.
  • Work with Level 3 and 4 analysts, analytics management, and teams across departments.
  • Meet department and company performance and attendance expectations.
  • Comply with privacy policies and HIPAA requirements.
  • Complete other assigned duties.

Prasības

  • At least three years of experience in health insurance or a related field.
  • Bachelor’s degree in mathematics, computer science, statistics, engineering, health and medical economics, public health, or a similar research-related field.
  • General familiarity with at least one statistical or analytical programming tool, such as R, SAS, or SPSS.
  • General familiarity with Tableau, Power BI, and web-based database tools.
  • Proficiency with Microsoft Word, Excel, PowerPoint, and Outlook.
  • Ability to manage several projects and competing deadlines.
  • Ability to manage workload as part of a team or with minimal direct supervision.
  • Ability to develop approaches to complex problems and identify solutions.
  • Ability to handle confidential information responsibly.
  • Ability to develop, document, and follow departmental policies and procedures.
  • Ability to read and understand written and spoken English.
  • Clear and effective communication skills.
  • Must comply with privacy policies and HIPAA laws and regulations for protecting confidential health information.
  • Knowledge of Medicare Five-Star, Oregon Quality Incentive Measures, NCQA HEDIS, the Health Care Payment Learning & Action Network, the Alternative Payment Model framework, and the Facets claims processing system is preferred.
  • Knowledge of medical costs is desired; medical coding and terminology experience is preferred.
  • A master’s degree or higher is preferred.

Priekšrocības

  • Equal opportunity employment.
  • Ergonomically configured equipment.
  • Less than 5% travel required.

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