Business Analytics Senior Advisor - Clinical/Healthcare Analytics - Remote

The Clinical Analytics unit of Evernorth’s Data & Analytics organization is searching for an innovative Business Analytics Senior Advisor to bring best in class solutions to shape the future of Cigna’s Custom High Acuity Model (CHAM) for large, strategic national accounts. This person will be a member of a dynamic and pioneering team that will help lower total medical costs and maintain or improve clinical quality and outcomes. You will collaborate with other data and analytics teams and medical management business leads to

• assess existing analytic tools

• refine or develop new tools to perform client- and market- level clinical opportunity analytics

• test and measure innovative solutions to customer identification and engagement

• help classify and prioritize clinical opportunities, and leverage provider and market solutions

Role Summary:

The ideal candidate is someone with strong data analytics and visualization background, previous experience in the healthcare industry, statistical acumen, and the ability to effectively communicate data insights and recommendations to business stakeholders.

You will interface across multiple business areas including, but not limited to clinical, pricing, reporting, product development, operations, and marketing departments as needed.

The ideal candidate for this role will be highly motivated, flexible, and a strong critical thinker.

The responsibilities are as follows:

• Perform complex data research and analysis to support business operations and decision making including: creating data mining architectures/models/protocols, and data analysis methodologies to identify trends in large data sets, and assess impacts resulting from an evolving data environment

• Responsible for executing healthcare client, market, and customer level analytics and visualizations

• Closely collaborate with client-dedicated Medical Director, Product, Operations and Clinical Program Manager to identify and prioritize high value clinical and network opportunities for a client

• Perform analytics processes, including data and analytic development and interpretation. Ensure code and outputs are appropriately documented and can be understood by other analysts

• Own and engage with stakeholders to assess business needs and understand how analytics affects the broader business, bridging the gap between data insights and business goals with regular and clear communication

• Collaborate with partners in Account Management, Operations, Clinical Program, Product, Network Analytics, and others to align on features of work in required focus areas and execute on new initiatives

• Effective communication of analytic strategies, opportunities, timelines, and outcomes to internal and external stakeholders

• Influence key matrix partners to ensure goals and targets are met

Qualifications:

• Advanced degree required in preferred fields of Statistics, Biostatistics, Econometrics, Economics, Actuarial Science, or Data Science or equivalent work experience

• 3 or more years of health insurance or health system related data/analytics experience solving business problems through the application of analytic approaches. Experience with diverse healthcare data/statistical analytics preferred, including claims, provider, network, FFV, EHR, demographic, exercise, pharmacy, lab, biometrics, genomic, and text

• Strong analytical, critical thinking, and problem-solving skills with understanding of predictive and evaluative statistical modeling, machine learning, and data mining concepts, and a track record of solving business problems with these methods

• Experience with data visualization in Tableau and/or Looker is highly preferred

• Proven ability to work collaboratively in complex matrix organizations and agile teams

• Expert-level analytics experience providing content/professional leadership on complex assignments/projects; exercising considerable creativity, foresight, and judgment in conceiving, planning, and delivering initiatives; uses deep analytics knowledge and acumen to advise functional leaders; focuses on providing thought leadership within own discipline but works on broader projects, which require understanding of wider business

• Ability to independently wrangle data and perform