Business Analytics Lead Analyst - HIH - Evernorth

Business Analytics Lead Analyst 

Position Overview: 

We’re seeking a Business Analytics Lead Analyst to work alongside a team of ultra-talented and highly driven analysts to unlock new capabilities through collaborative and innovative approaches to solving real-world problems in U.S. healthcare.   

We need a critical-thinking consultative-minded self-starter passionate about solving complex problems while leveraging emerging technology and extensive data sets to help us better anticipate what’s next and curate compelling stories that give rise to action.  

Responsibilities:  

Leverage your robust knowledge of the US Healthcare system and data sets to creatively explore and identify ways to reimagine how to deliver greater predictability and affordability  

Adopt an agile approach to iteratively build solutions based on well-structured hypotheses and robust test-and-learn approaches that result in transformative capabilities.  

Partner with our US and Hyderabad-based teams to:  

Ensure our contracts with major health systems are performing to expectations  

Identify the root cause of trend and cost variance drivers 

Formulate and succinctly communicate remediation recommendations for our US-based teams to engage with health systems to address concerns  

Monitor and quantity effects of remediation actions 

 Lead efforts to advance medical trend early-detection and monitoring capabilities 

Test and learn how to leverage early indicators of trend by leveraging leading data sources relevant for better anticipating and explaining Precision Trend 

Validate the relevance of leading data sources to anticipate and explain Trend 

Deploy consistent methodologies to identify and explain drivers of deviation from Plan 

Evaluate whether identified deviations from Plan are anomalies or likely to persist and calculate financial effects  

Communicate findings and suggested adjustments to Plan and future trend expectations to Directors and Senior Leadership Team members  

Cultivate Collaborative Relationships – fostering a strong collaborative culture and championing a shared services analytics capability while hearing and considering things happening in the macro business and offering suggestions of areas to investigate, based on your data discoveries and team’s capabilities  

Define, pull, and validate data needs - dive deep to infer meaning and uncover insightful data trends that inform real-world decisions. 

Tell compelling stories – distill complex subject matters into simple stories that give rise to action  

Qualifications:  

• Someone who relates to the world, through data - without data, you feel lost 

• Creative and naturally curious - you're constantly looking for ways to add value and can't help but get immersed in the challenge of uncovering insightful data patterns 

• Objective, logical, and fact-oriented – you’re rationale in your data discovery 

• Self-starter - you enjoy working with minimal supervision and thrive off independence to enable value in your own unique ways 

• Ability to make sound decisions and piece together puzzles with limited direction – you’re your own leader 

• Excited to assemble materials and present to audiences with poise and authority – you have a knack for captivating audiences 

Technical Requirements: 

• 5-8 years of robust technical coding languages (ie. SQL, Python, etc.), enterprise databases, and data architecture (i.e Databricks, Teradata, Oracle, and DB2) and ability to index, partition, and tune the performance of models  

• Ability to hear and translate ideas into self-built functional designs with complementary technical details that support scale and require minimal maintenance   

• 5-8 years of data warehousing, profiling, and analyzing disparate datasets with the ability to convert into actionable insights 

• 4+ years of experience building reports leveraging business intelligence reporting capabilities – i.e. Tableau with demonstrated stories of how the business has acted against insights  

Required Education & Experience: 

• Bachelor’s degree in either Business Analytics, Data Science, Mathematics/Statistics, Computer Science, or a related quantitative field 

• 5-8 years of robust US healthcare analytics and claims-related experience, reimbursement methodologies, and medical terminology (CPT, Dx, ICD10, HCPCS, Rev Codes, etc.) 

• Proven track record contributing to complex analytics projects 

• 2+ years’ experience working with data science and advanced analytics teams, incorporating their models and methodologies into your work to answer expectations of the future  

Desired Experience and Skillsets: 

• Constantly consider the, “So What?” and “Now What?” behind your work and ask the right questions to anticipate and gauge whether a team/project will deliver what is needed 

• Exercises extreme comfort with ambiguity with the humbleness to know when something isn’t working and to boldly communicate the need to pivot to achieve results, faster 

• Previous experience working on medical economics-related initiatives (Unit Costs, Medical or Pharmacy Cost Trend drivers, etc.)  

• Robust understanding of statistical methodologies and linear regression models  

• Familiarity with Cost Accounting practices and variance driver analysis methodologies 

• Practical working knowledge of Generative AI technologies and prompt engineering 

• Previous pharmacy/PBM experience with ability to leverage Rx data to better predict medical trends and cost variance drivers