Business advisor Bloomfield, CT

Full Job Description Summary

The Part D Stars Business Analytics Advisor will be responsible for supporting the analytics strategy for Cigna Healthcare, performing research and analysis within the Medicare Stars program with a focus on Part D measures. This position is located within the Medicare Stars Analytics team, whose function is to provide operational and analytical support to internal and external partners to improve Cigna’s Medicare Star Ratings.

The Business Analytics Advisor will analyze data including pharmacy claims, clinical outcomes, and Stars quality measures to make recommendations based on relevant findings. The Business Analytics Advisor will interface across multiple business areas, including, but not limited to pharmacy, clinical, customer experience, product development and operations as needed.

The person chosen for this role will be producing technical and analytical enhancements to further improve Cigna’s Medicare Part D Star ratings. This role will be responsible for designing and developing advanced Stars reporting and dashboards related to the Medicare Stars program focused on Part D clinical, administrative, and customer experience measures. These reports will be utilized by business partners and Stars leadership in making critical business decisions related to enhancements to existing programs, development of new pilots and initiatives, and other opportunities to maximize Part D Stars affordability and enterprise value.

The ideal candidate will have a passion for healthcare analytics and a creative mindset for approaching data in innovative ways.

• Develop reports and dashboards using self‑service technologies like SQL Server Reporting Services (SSRS), Power
  
  BI, Tableau, or other similar platforms to classify, quantify, and/or forecast Stars metrics to enable business partners to make sound business decisions related to Part D intervention strategies.

• Extract and manipulate large healthcare data using data analytics tools such as Databricks, SAS, SQL, R, Python, Teradata, etc.

• Identify, analyze and interpret Part D Stars trends or patterns in data sets through descriptive and advanced statistics.

• Develop actionable insights and present results to non‑technical business partners and stakeholders to drive the decision‑making process.

• Develop methods for improving internal techniques and processes with expertise in creating highly effective, visual graphics that tell complex stories in formats that can be easily conveyed to leadership and executive clients.

• Work collaboratively and partner with departments across the organization to ensure deliverables are accomplished.

• At least five years of professional experience in healthcare analytics or a related discipline.

• Minimum bachelor’s degree in a field related to analytics, data science, statistics, or another related field (or 10+ years relevant work experience).

• General knowledge of the CMS Part D Star Rating System, including Pharmacy, Administrative, and CAHPS Measures.

• Extensive knowledge of pharmacy claims data, customer eligibility data, and customer experience/self‑report data.

• Deep understanding of advanced analytics tools and languages to analyze large data sets, including:

• SQL query development and programming;
  Tableau, Python – Required.

• Teradata and Databricks – Preferred.

• Ability to understand business operations requirements and translate them into technical applications.

• Excellent oral and written communication skills with a proven ability to communicate complex concepts to stakeholders at all levels of the organization.

• Excellent interpersonal and customer service skills and proven ability to perform in a matrix environment.

• Strong ability to work autonomously and deal with ambiguity.

If you will working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10 Mbps download/5 Mbps upload. For this position, we anticipate offering an annual salary of 95,200 – 158,600 USD yearly, depending on relevant factors, including experience and geographic location.

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