WellDyne
WellDyne
WellDyne dorixona imtiyozlarini boshqarish va maxsus dorixona xizmatlariga ixtisoslashgan sog‘liqni saqlash va farmatsevtika xizmatlari kompaniyasidir. Kompaniya retsept bo‘yicha beriladigan dorilar uchun chegirma dasturlari, foydalanishni boshqarish, pochta orqali buyurtma berish va markazlashtirilgan dorixona operatsiyalari, shuningdek, autsorsing asosidagi dorixona xizmatlarini taklif etadi. WellDyne, ayniqsa yuqori narxdagi maxsus dori vositalari bo‘yicha tajribasiga tayangan holda, dori xarajatlari va davolash natijalarini yaxshilashga yordam berish uchun klinik dasturlar, davolanishga rioya qilishni qo‘llab-quvvatlash, ma’lumotlar tahlili va a’zolar bilan shaxsiylashtirilgan muloqotni birlashtiradi. Kompaniya moslashuvchan reja dizayni, maxsus hisob boshqaruvi va sohaga yo‘naltirilgan klinik imkoniyatlar orqali an’anaviy PBM modellariga muqobil xizmat ko‘rsatadi.

Junior Revenue Cycle Data Analyst - WellDyne Hybrid

Support WellDyne’s pharmacy revenue-cycle operations through billing, invoicing, PBM analysis, and reporting. Use SQL and data-analysis tools to develop dashboards, identify trends, and improve billing accuracy and efficiency.

Tavsif

  • Perform weekly billing activities for designated outsourced service arrangements
  • Review billing workflows to identify opportunities that improve efficiency and accuracy
  • Investigate client billing questions and reporting requests, providing timely and courteous follow-up
  • Provide support for the semi-monthly PBM billing cycle as needed
  • Carry out weekly, semi-monthly, and monthly HealthDyne billing activities as required
  • Prepare and distribute invoices when needed
  • Track assigned work through successful and timely completion
  • Help build analytics dashboards that surface trends across PBM and other business functions
  • Handle additional responsibilities for the Revenue Cycle team as assigned

Talablar

  • Four-year degree required, preferably in Data Science, Statistics, Healthcare Analytics, or a related field, along with demonstrated quantitative experience.
  • One to three years of professional experience.
  • Experience in PBM, healthcare, or pharmaceutical environments is preferred.
  • Advanced proficiency with Microsoft SQL, R, or comparable data-analysis tools.
  • Python experience is preferred.
  • Experience with Microsoft Excel and Visual Studio is preferred.
  • Strong analytical and critical-thinking capabilities.
  • Intermediate knowledge of Tableau or another data-visualization platform.
  • Highly diligent work style with attention to the broader business context.
  • Ability to analyze data and draw interpretations from the results.
  • Strong written and verbal communication skills.
  • Ability to listen to and understand verbally presented information and ideas.
  • This role does not provide employment visa sponsorship; candidates who need sponsorship now or later, including those on STEM OPT, are not eligible.
  • Ability to work in a standard office setting with extended computer use and occasional external travel.

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