Advanced Analytics Senior Consultant

Elevance HealthChicago, IL
3dHybrid

About The Position

Advanced Analytics Senior Consultant PLEASE NOTE: This position is not eligible for current or future visa sponsorship Location: This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location will not be considered for employment, unless an accommodation is granted as required by law. The Advanced Analytics Senior Consultant will be creates statistical models to predict, classify, quantify, and/or forecast business metrics. Designs modeling studies to address specific business issues determined by consultation with business partners. How you will make an impact: Prepares analytical data sets in support of modeling studies Build, test, and validate statistical models. Develops original algorithms and implement in systems and tools that will be used to develop new predictive models and provider profiles that go beyond standard industry tools and lead to innovative solutions to address cost and use of medical benefits. Publishes results and address constraints/limitations with high level business partners. Provides high-level controllership/evaluation of all data produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables.

Requirements

  • Requires Doctoral degree in Biostatistics, Statistics, Mathematics, Epidemiology or equivalent training and mastery and a minimum of 10 years experience in related health care analytics; or any combination of education and experience which would provide an equivalent background.

Nice To Haves

  • Advanced expertise with Teradata, SQL, SQL Server, or equivalent strongly preferred.
  • Proven ability to design modeling studies and experience with data models, addressing data quality issues in study design, constructing robust and efficient analytical data sets strongly preferred.
  • Demonstrated experience in managing the design, development, and continuous improvement of complex healthcare data systems, tools, and reports strongly preferred.
  • Proven ability to present meaningful results to a business audience strongly preferred.
  • Demonstrated leadership competencies with the ability to collaborate with others and establish working relationships, communicate effectively across the organization and at different levels, coordinate multiple work efforts, and translate business needs into practical applications and solutions strongly preferred.

Responsibilities

  • Prepares analytical data sets in support of modeling studies
  • Build, test, and validate statistical models.
  • Develops original algorithms and implement in systems and tools that will be used to develop new predictive models and provider profiles that go beyond standard industry tools and lead to innovative solutions to address cost and use of medical benefits.
  • Publishes results and address constraints/limitations with high level business partners.
  • Provides high-level controllership/evaluation of all data produced to ensure established targets are met.
  • Determines the continuous improvement opportunities of current predictive modeling algorithms.
  • Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables.

Benefits

  • a comprehensive benefits package
  • incentive and recognition programs
  • equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements)
  • merit increases
  • paid holidays
  • Paid Time Off
  • incentive bonus programs (unless covered by a collective bargaining agreement)
  • medical, dental, vision, short and long term disability benefits
  • 401(k) +match
  • stock purchase plan
  • life insurance
  • wellness programs
  • financial education resources
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