Manager of Business Reporting & Analytics

CVS Health•Work At Home-Florida, FL

6d•$60,300 - $132,600•Remote

About The Position

The Manager of Business Reporting & Analytics is a senior individual contributor responsible for designing, developing, and delivering modern, AI‑enabled reporting and analytical solutions across Specialty Mail Operations. This role is designed for a versatile professional capable of independently owning the full analytics lifecycle—from SQL‑based data validation and semantic modeling through executive‑ready dashboards and AI‑assisted insight delivery. This position plays a critical role in advancing reporting from static dashboards to continuous, automated, and well-governed insight delivery. It combines strong analytical judgment with emerging AI capabilities to enable timely, trusted decision-making within a regulated healthcare environment.

Requirements

5+ years of demonstrated ability to exercise analytical judgment when validating dashboards, datasets, and AI‑generated outputs—knowing when results are decision‑ready versus investigatory
5+ years of demonstrated depth in analytics, business intelligence, and reporting, delivering impactful dashboard solutions that support and solve complex business problems with limited guidance
3+ years of advanced Power BI expertise, including ownership of semantic models, complex DAX, and executive‑ready dashboards; sets quality standards and influences best practices
3+ years of strong command of SQL, independently performing analysis, validation, and issue resolution across multiple data sources with sound analytical judgment
2+ years of experience designing and delivering enterprise dashboards and visual analytics using Tableau
Bachelor's degree in data analytics, computer science or equivalent experience required

Nice To Haves

1+ years of hands‑on experience applying AI‑enabled reporting capabilities (e.g., Copilot, Copilot Studio) to real production reporting or insight workflows, with demonstrated understanding of limitations and validation requirements highly desired
Experience in healthcare, PBM, or other regulated data environments
Familiarity with Microsoft Fabric, Power Apps, Oracle and Azure-based analytics platforms
Understanding of business process improvement, project management and quality practices
Demonstrated proficiency in driving analytics automation, leveraging Power Automate to improve scalability, reliability, and efficiency of reporting solutions
Experience working with Google Cloud Platform (GCP), including BigQuery, for large‑scale analytical querying, data validation, or integration with enterprise BI and reporting solutions

Responsibilities

Design, develop, and maintain enterprise-grade dashboards using PowerBI and Tableau
Build and manage Power BI semantic models optimized for both human and AI consumption
Apply DAX best practices, data modeling standards, and documentation practices
Partner with business stakeholders to translate requirements into scalable analytics solutions
Own SQL‑based analysis and data validation as the foundation for all reporting, semantic models, and AI‑assisted insight
Design AI-ready semantic models with business-friendly naming, descriptions, and classifications
Define trusted measures, verified answers, and visibility rules to support Copilot usage
Leverage Power BI Copilot and Copilot Studio to create AI-assisted insights and guided analytics experiences
Design effective prompts and conversational analytics experiences aligned to business questions
Validate and refine AI-generated insights, understanding where outputs are reliable versus exploratory
Build analytics automation and workflows using Power Automate
Orchestrate AI-enabled workflows that trigger insights, summaries, or alerts based on data changes
Design human-in-the-loop processes for AI-assisted decision support
Enable proactive insight delivery rather than passive dashboard consumption
Ensure analytics solutions adhere to enterprise governance, data quality, and compliance standards
Design reporting and AI experiences that respect row-level security, object-level security, and sensitivity labels
Understand how AI inherits security context and validate outputs against regulated data constraints
Apply responsible AI practices, including awareness of bias, hallucinations, and validation requirements
Translate analytical and AI-generated outputs into clear business narratives
Explain the “why” behind trends, patterns, and AI-identified insights
Frame insights appropriately for executive and operational audiences
Design AI-generated summaries that align with established business language and definitions