Marsh McLennan
Marsh McLennan
Marsh McLennan risklar, strategiya va insonlar bilan bog‘liq maslahat xizmatlari yo‘nalishlarida faoliyat yurituvchi global professional xizmatlar kompaniyasidir. Uning tarkibiga sug‘urta brokerligi va risklarni boshqarish xizmatlarini ko‘rsatuvchi Marsh; qayta sug‘urta va kapital strategiyalariga ixtisoslashgan Guy Carpenter; sog‘liqni saqlash, farovonlik va karyera bo‘yicha maslahat beruvchi Mercer; strategiya, iqtisodiyot va brend konsaltingiga ixtisoslashgan Oliver Wyman kiradi. Dunyo bo‘ylab 85 000 dan ortiq xodimga ega Marsh McLennan moliya, konsalting, marketing va boshqa tegishli professional xizmatlar sohalaridagi tajribani birlashtiradi. Kompaniyaning ishga qabul qilish yo‘nalishlari uning to‘rtta biznesi bo‘yicha mijozlarga maslahat berish, risklarni tahlil qilish, biznes strategiyasi, konsalting va operatsion jamoalarni qo‘llab-quvvatlashga qaratilgan lavozimlarni qamrab oladi.

Senior Government Data Analyst – Medicaid Consulting (Hybrid)

Analyze Medicaid claims data for Marsh McLennan’s state healthcare consulting practice. Apply Python, SQL, and SAS to support improvements in healthcare access, cost efficiency, and service quality.

Tavsif

  • Analyze large healthcare datasets using Python, SQL, SAS, and other programming languages
  • Support the preparation of client communications, proposals, reports, spreadsheets, and presentations
  • Develop knowledge of government-sponsored health and welfare programs, including Medicaid and Medicare
  • Apply AI and other technology-enabled tools
  • Deliver work in a fast-paced consulting environment while meeting client needs and deadlines
  • Work collaboratively with colleagues across organizational levels
  • Contribute to focused team assignments as well as broader client and industry projects
  • Partner with programmers, actuaries, and clinicians on Medicaid consulting engagements

Talablar

  • Bachelor’s degree in a related field
  • At least one year of professional work experience involving programming
  • Strong analytical and quantitative capabilities
  • Well-developed organizational and time-management skills
  • Excellent interpersonal, verbal, and written communication skills
  • Ability to work independently and as part of a dynamic team amid shifting priorities and demands
  • Experience with Databricks, Python, SQL, SAS, or similar programming languages
  • Proficiency in Microsoft Excel, PowerPoint, and Word
  • Ability to solve problems creatively
  • Initiative and a strong drive to achieve results

Imtiyozlar

  • Opportunities for professional development
  • Supportive leadership
  • Flexible work environment
  • Health and welfare benefits
  • Tuition assistance
  • 401(k) savings plan
  • Additional retirement programs
  • Employee assistance programs
  • Performance-based incentives may be available
  • Hybrid work flexibility, with office-based opportunities for collaboration, connection, and professional development

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