below marketmost similar roles pay hereabove market
This role pays less than
99%
of similar roles. Most pay
$159,000–$211,200
— the blue band above.
At the midpoint, this role pays about
$96k
versus about
$185k
for comparable roles.
Based on 240 similar postings.
Employer
About CVS Health
CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy
CVS Health currently has
119 open roles
on FindRole.
Listed pay typically runs
$106,605–$260,590
across 115 roles with salary data.
The Manager, Analytics & Reporting supports business analytics strategies by developing, maintaining, and optimizing reporting solutions, analytic data assets, dashboards, and DataMarts. Working across business, analytic, and technical teams, this role delivers high-quality reporting, financial analyses, and operational insights to enable informed decision-making. Key responsibilities include supporting reporting infrastructure, managing cloud-based analytics initiatives, and performing quality assurance activities like validation and reconciliation. The position involves translating business requirements into analytic solutions and supporting modernization efforts from legacy platforms to cloud environments. Required skills include strong SQL experience for querying and transforming large datasets, proficiency with Tableau, and knowledge of data quality testing methodologies. The role operates within a healthcare context, addressing business problems related to healthcare utilization, financial results, and regulated reporting within a complex data environment.
Develop and maintain reporting infrastructure, DataMarts, and cloud-based analytics platforms.
Create ad hoc analyses, recurring reports, and dashboards using SQL and Tableau.
Translate business requirements into technical analytic solutions and datasets.
Perform financial and operational analyses to generate actionable business insights.
Execute validation, reconciliation, and quality assurance testing for all data assets.
Troubleshoot data discrepancies and perform root-cause analysis on reporting issues.
Maintain technical documentation for business logic, processes, and reporting environments.
Support cloud migration activities and monitor workload performance in cloud environments.
What we're looking for
5+ years of experience supporting and delivering analytics, reporting, dashboard, business intelligence, DataMart, or related data solutions.
Strong SQL experience including querying, transforming, validating, reconciling, and analyzing large datasets from multiple data sources.
Experience working with business intelligence tools, dashboards, reporting workflows, DataMarts, cloud analytics platforms, and related data structures.
Knowledge of data quality, testing methodologies, quality assurance processes, reporting logic, business rules, and validation techniques.
Experience supporting analytics, business intelligence, reporting infrastructure, financial analysis, cloud analytics, or similar technical functions.
Strong written and verbal communication skills to explain technical concepts to technical and non-technical audiences.
Bachelor's degree preferred, or equivalent specialized training, professional qualification, or comparable professional experience in a related discipline (preferred).
Experience in healthcare, payer, pharmacy benefit management, or cloud-based analytics platforms like GCP BigQuery (preferred).
SQL
Tableau
Google Cloud Platform
BigQuery
Dataiku
Data Governance
Business Intelligence
DataMarts
Data Quality
Quality Assurance
Requirements Gathering
Relational Data Structures
Root-Cause Analysis
Project Management
SQL
Python
R
Data Modeling
Business Intelligence
Data Visualization
Database Architecture
Data Governance
Data Mining
AI
Data Engineering
Data Analytics
Data Management
Change Control
Python
SQL
Tableau
Power BI
MicroStrategy
Google Cloud Platform
Big Query
Data Visualization
Data Strategy
Automation
AI
Business Analysis
Data Summarization