We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary Program Start Date: June 15, 2026 Location: Hartford, CT Starting Salary: $75,000 Sponsorship: Work visa sponsorship is not available for this role. This includes participation in Curricular Practical Training (CPT), Optional Practical Training (OPT), and F-1 Visa programs. This requisition will be unposted on February 24th. Hartford Hiring Initiative: This role is a part of the Aetna Business Operations Hartford Hiring Initiative and offers additional developmental opportunities. This may include leadership exposure, networking sessions, and Hartford-based events. This is a hybrid position with 3 days (generally Tuesday, Wednesday, and Thursday) in the Hartford, CT office location. The other 2 days each week will be working remotely from home, office, or another location of your choice. The Business Analytics Senior Analyst operates in areas including, but not limited to the following: Establishes processes and infrastructure to capture and house data from relevant sources. Ensures data consistency across reporting media. Makes extensive use of tools such as Microsoft Excel, Power BI, and SQL, requiring advanced skills. Creates new reporting, and envisions, codes and implements data and report automation tools and processes to improve reporting efficiency and accuracy. Analyzes performance and provides summary reports and trending. Identifies and escalates data accuracy concerns for partners to address. Facilitates action-focused/data-centered conversations with stakeholders about opportunities and trends in the data. Contributes to ad hoc special projects. Examines the needs and develops visualizations that support their decision-making process. Creates reports, dashboards, and visualizations to present data-driven insights in a clear and concise manner. Analyzes trends and patterns to identify areas of improvement, efficiency gains, and opportunities for growth. Uses statistical techniques, data mining, and predictive modeling to uncover patterns, trends, and correlations within the data. Helps stakeholders make informed decisions by providing insights into potential future outcomes and their associated risks. Applies critical thinking and problem-solving skills to derive meaningful insights that drive business decision-making. Participates in cross-functional teams, including business managers, marketing professionals, and executives, to understand their information needs and help them make informed decisions. Ensures the integrity, accuracy, and reliability of data used for analysis. Performs data validation and verification to ensure the data used in the analysis is trustworthy and meets predefined quality standards. Collaborates teams to establish data standards, data quality checks, and best practices for data collection and storage. Explores innovative tools and approaches to improve data analysis and drive continuous improvement within the organization. Seeks opportunities to enhance their skills and knowledge through training, certifications, or participation in relevant industry events. Develops and manages Payment Integrity programs, prepay and post-pay. Manages inventory and trend monitoring, financial reporting for the programs, and program development while leveraging the latest technology to control claim costs, maintain administrative consistency and deliver accurate claim policies and procedures. An important component of the role is to engender deeper data understanding for the management team through performance analysis, trending, and frequent communication - both in writing and verbally, working collaboratively in group conference calls, direct interactions, and report delivery with audiences that include vendors, partners, operations management and senior management - to foster understanding of performance trends and issues and focus data-centered corrective action that serves as the engine for performance improvement. Analysis efforts include asking questions and investigating to understand datasets, drawing connections between various types of performance data, such as connections between quality, service levels, training, staffing and customer satisfaction, and comparing data across sources.
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Job Type
Full-time
Career Level
Entry Level