Data Analyst 2

Vaga não está no LinkedIn

🕒 3 dias atrás

🌲 North Carolina – Remoto

🌲 North Carolina – Remote

💵 $64.871 - $110.281 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

📉 Analista de Dados

👻 Score fantasma 20%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

PACIFICSOURCE

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1933

Planos de saúde sem fins lucrativos

Descrição

• Provide primary analytic support for reinsurance, large employer RFP, large employer and ASO, and state and/or federally mandated reporting and analyses • Collaborate with level 3 and 4 analysts and analytics management across multiple departments • Perform data extraction from data warehouses and nonstandard data sources • Clean, transform and preprocess data using tools such as t-SQL and SAS • Support development of interactive data visualization solutions using Tableau or Microsoft Power BI • Develop reports and analytical solutions for RFP, large employer, ASO, state and federal requests • Calculate and analyze value-based payment terms and support monthly reporting and financial reconciliation • Present complex data, analysis and findings clearly to teams • Develop and maintain documentation, training materials and job aids • Evaluate the impact of business changes on risk report specifications • Prepare ad hoc analyses related to cost and utilization opportunities • Support quality assurance, data validation, unit testing, error checks and validation processes • Develop health insurance business knowledge and assigned analytics-support expertise • Meet department and company performance and attendance expectations • Perform other duties as assigned

🎯 Requisitos

• Three years’ experience in health insurance or related field • Bachelor's degree in Mathematics, Computer Science, Statistics, Engineering, Health and Medical Economics, Public Health or similar research related field • General knowledge of business principles, theories and concepts • Ability to manage multiple projects and competing deadlines • Ability to manage workload within a team environment or with minimal direct supervision • Ability to conceptualize solutions to complex problems; readily anticipates problems and identifies solutions • Ability to deal responsibly with confidential information • Ability to develop, document and adhere to department policies and procedures • General knowledge of at least one statistical/analytical programming tool such as R, SAS, SPSS • General knowledge of Tableau, Power BI and web-based database tools • Skilled in Microsoft Office: Word, Excel, PowerPoint and Outlook • Ability to follow PacificSource privacy policy and HIPAA laws and regulations concerning confidentiality and security of protected health information • Ability to read and comprehend both written and spoken English • Ability to communicate clearly and effectively • Familiarity with Medicare Five-Star, Oregon Quality Incentive Measures and/or NCQA HEDIS, Health Care Payment Learning & Action Network (LAN) and Alternative Payment Model framework, and Facets claims processing system is preferred • Working knowledge of medical costs is desired, along with experience with medical coding and terminology • Master’s degree or above is preferred

🏖️ Benefícios

• Equal opportunity employment • Work-from-home arrangement indicated by location field: WFH: NC • Travel required approximately less than 5% of the time