CVS Health

Compensation

Full Description

Description: • Directly support key client teams to provide insights into both retrospective and prospective performance • Summarize insights from analysis, identify next steps and develop implementation plans in conjunction with client teams. • Convey analytical findings through compelling, executive ready presentations. • Present findings to multiple levels of client team leaders and management in a clear and concise manner • Write complex SQL codes to extract data from large databases for analysis and predictive modeling • Use historical and concurrent diagnostic, HCC, and utilization data to provide insights into interventional improvement • Develop ad hoc analysis and visualizations to help non-technical consumers easily understand data correlations. • Evaluate performance and make modifications to existing models for accuracy improvement. • Apply statistical analysis to provide deep insights and recommendations for operational process enhancements. • Work with enablement teams to automate the most valuable and replicable of dashboards and visualizations • Assist other departments as needed. Requirements: • Bachelor’s Degree in relevant discipline (Statistics, Math, Computer Science or a related discipline) • 5+ years of relevant experience in data analysis, data science or analytics role. • 5+ years of experience in writing SQL queries with strong understanding of databases and ETL processes. • 1 - 2 years of relevant experience supporting client facing teams, including report, presentation, and messaging preparation • Experience in preparing queries and report templates for dashboard and visualization creation in PowerBI or equivalent reporting tools • Must be able to travel 10% or less to Dallas office location for team meetings. Benefits: • Affordable medical plan options • 401(k) plan (including matching company contributions) • Employee stock purchase plan • No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs • Confidential counseling and financial coaching • Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility