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Cigna - Philadelphia, PA

posted 2 months ago

Full-time - Mid Level
Hybrid - Philadelphia, PA
5,001-10,000 employees
Insurance Carriers and Related Activities

About the position

The Business Analytics Advisor for Cigna Supplemental Benefits (CSB) plays a crucial role in leveraging data insights and advanced analytics to shape the strategy of the organization. This position involves leading analytical work that supports CSB, collaborating closely with leadership to understand business challenges, and developing actionable recommendations based on data analysis. The role is highly visible and requires strong communication skills to present findings to non-technical stakeholders, ultimately influencing strategic decisions within the company.

Responsibilities

  • Extract knowledge/insights from disparate data sources to create insights and trends.
  • Leverage a data-first approach to identify critical business trends and insights to make specific actionable recommendations.
  • Combine data and business acumen to make strategic recommendations to leadership.
  • Make recommendations for process changes based on identified gaps that could lead to exposure for CSB.
  • Build machine learning models from design through training, evaluation, and implementation.
  • Manage large projects or processes with limited oversight from manager.
  • Interpret internal or external issues and recommend solutions/best practices.
  • Solve complex problems; take a broad perspective to identify solutions.
  • Identify and develop relationships with internal and external stakeholders to achieve program objectives.
  • Communicate regularly with senior leadership team on emerging trends.

Requirements

  • Bachelor's Degree in statistics, mathematics, physics, economics, or other analytical or quantitative discipline.
  • Master's Degree or PhD preferred.
  • 5+ years of experience in data analytics and/or data modeling.
  • Extract and manipulate large healthcare data using data analytics tools such as Databricks, SAS, SQL, R, Python, Teradata, etc.
  • Hands-on experience with both traditional and open-source tools: SAS, Databricks, SQL, Python/R, Pytorch/Tensorflow.
  • Demonstrated analytic strength related to healthcare data analytics.
  • Highly organized and detail-oriented.
  • Solid research and communication skills.
  • Ability to prioritize workload and adapt to changing and competing priorities.
  • Excellent interpersonal and relationship management skills.

Nice-to-haves

  • Experience working in a highly matrixed environment.
  • Ability to make sound business decisions by analyzing data and key metrics.

Benefits

  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Life insurance
  • Paid holidays
  • Paid time off
  • Smoking cessation program
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