Advisory Services Senior Consultant - SAS, SQL, Python/R

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, & 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 & 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:

• Bachelors degree in Mathematics, Statistics, Science, Engineering, Economics, or another related technical field from an accredited college or university
• Total relevant work experience of 10+ years in Financial or Insurance domain
  • Of which, 5+ years of actuarial or analytics experience in the US healthcare market
• Experience building analytics models using SAS or SQL 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
• Advanced Proficiency in SAS (Statistical Analysis System) or SQL (Structure Query Language) or other programming system
• Proven ability to create and maintain efficient and scalable models
• Proven solid written and verbal communication skills and experience interacting with senior management