Analytics & Reporting Lead: Cloud Dashboards

CVS Health; United States; Remote; USD 60,000 - 133,000; Full time

Job summary

CVS Health in the United States seeks a skilled Analytics professional to develop, validate, and optimize reporting solutions, DataMarts, and Tableau dashboards across cloud environments. You will work with IT, data engineers, and business stakeholders to enable informed decision-making and operational efficiency.

The role emphasizes ad hoc analyses, financial analytics, data quality, and scalable analytics infrastructure, with collaboration across teams and a focus on delivering high-impact

Qualifications

• 5+ years of experience delivering analytics, reporting, dashboards, or data solutions.
• Strong SQL experience with large datasets from multiple sources.
• Experience with BI tools, dashboards, DataMarts, cloud analytics platforms.
• Knowledge of data quality, testing methodologies, and validation techniques.
• Excellent written and verbal communication skills for technical and non-technical audiences.

Responsibilities

• Supports analytics platform, reporting infrastructure, DataMarts, Tableau solutions, and cloud analytics environments.
• Develops ad hoc analyses, recurring reporting, dashboards, and strategic analytic requests.
• Performs validation, testing, and quality assurance for datasets, reports, and dashboards.
• Collaborates with stakeholders, data engineers, IT partners, and leadership to deliver analytics initiatives.
• Documents business logic, processes, and operational support materials.

Skills

SQL proficiency

Analytical thinking

Business intelligence

Communication skills

Healthcare analytics knowledge

Education

Bachelor’s degree preferred or equivalent

Tools

Tableau

DataMarts

BigQuery

Job description

CVS Health in the United States seeks a skilled Analytics professional to develop, validate, and optimize reporting solutions, DataMarts, and Tableau dashboards across cloud environments. You will work with IT, data engineers, and business stakeholders to enable informed decision-making and operational efficiency.

The role emphasizes ad hoc analyses, financial analytics, data quality, and scalable analytics infrastructure, with collaboration across teams and a focus on delivering high-impact