Advisory Services Consultant – SAS, SQL, Python/R

Número de la requisición: 2269625
Categoría de la vacante: OptumInsight Consulting
Localização da vaga: Hyderabad, Telangana

Doctor consulting nurse at nurse station.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

 

Primary Responsibilities:

  • Maintaining forecast models for healthcare financial forecasting
  • Understand and interpret the key drivers of health care trends; projecting expected revenue and cost
  • Supporting cross-business analytics (Commercial, Medicare, and Medicaid) in developing consistent and appropriate modeling
  • Conducting in-depth data extractions and analyses to provide actionable insights and drive decision-making
  • Identifying and exploring new areas for analytical development in partnership with key stakeholders
  • Developing high-quality written communications, persuasive presentations, and compelling deliverables tailored to client needs
  • Designing analytics and extracting data leveraging technical skills in R, Python, Excel, SAS, and SQL
  • Mentoring junior team members and training sessions to build internal capabilities
  • Reviews work performed by others and provides recommendations for improvement.
  • Lead analysts in to support and enhance the forecasting and reporting requirements of various clients
  • Identify inefficiencies in process and models and proactively take steps to implement changes
  • Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

  • Bachelor’s Degree in Mathematics, Statistics, Science, Engineering, Economics, or another related technical field from an accredited college or university
  • Total relevant work experience of 7+ years in Financial or Insurance domain
  • Of which, at least 3+ years of actuarial or analytics experience in the US healthcare market 
  • Experience building analytics models using SAS or SQL or other programming system
  • Advanced Proficiency in SAS (Statistical Analysis System) or SQL (Structure Query Language) or other programming system
  • Extensive experience in building and maintaining Excel based models
  • Experience in designing and executing complex analyses, including data extraction and analysis using R, Python, SQL, SAS, and/or VBA
  • Proven ability to create and maintain efficient and scalable models
  • Proven solid written and verbal communication skills and experience interacting with senior management

 #GEN

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

 

#njp

Información adicional sobre la vacante

Número de la requisición 2269625

Segmento de negocio Optum

Disponibilidad para viajar Yes, 25 % of the Time

País IN

Estado de horas extras Exempt

Vacante de teletrabajo No