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Cvs Data Analyst Jobs (NOW HIRING)

Please would you submit your rates with some CVs for potential candidates? Below you can see the ... Data analyst with data flow experience, design-design and build data models from data sources to ...

Provide Data and Materials Retention Supervision including the oversight of locally retained ... in analytical functions providing resources to senior management ensuring their ability to review ...

Position Summary CVS Health's Analytics & Behavior Change (A&BC) team is an organization working to ... As a Data Scientist - ClinicalAI , you are tasked with activating CVS Health's clinical data ...

CVS Analyst

Saint Louis, MO · On-site

$21.75/hr

Provide Data and Materials Retention Supervision including the oversight of locally retained ... in analytical functions providing resources to senior management ensuring their ability to review ...

CVS Health is dedicated to building a connected and compassionate health experience. The Supervisor ... Qualifications : Required : • 2+ years data analysis experience. • Experience training ...

Provide Data and Materials Retention Supervision including the oversight of locally retained ... in analytical functions providing resources to senior management ensuring their ability to review ...

Provide Data and Materials Retention Supervision including the oversight of locally retained ... in analytical functions providing resources to senior management ensuring their ability to review ...

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Cvs Data Analyst information

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$34K

$82.6K

$136K

How much do cvs data analyst jobs pay per year?

As of Jun 13, 2026, the average yearly pay for cvs data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Cvs Data Analyst vs Cvs Data Analyst?

AspectCvs Data AnalystCvs Data Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; proficiency in SQL, Excel, and data visualization toolsBachelor's in Data Science, Statistics, or related field; proficiency in SQL, Excel, and data visualization tools
Work EnvironmentOffice setting, collaborative teams, healthcare industryOffice setting, healthcare industry, cross-department collaboration
Employer & Industry UsageHealthcare providers, insurance companies, pharmaceutical firmsHealthcare providers, insurance companies, pharmaceutical firms
Common Search & ComparisonYesYes

The comparison shows that Cvs Data Analyst and Cvs Data Analyst share similar credentials, work environments, and industry usage. They are essentially the same role, often used interchangeably in healthcare and related sectors, focusing on data analysis to improve healthcare services and operations.

What are the key skills and qualifications needed to thrive as a CVS Data Analyst, and why are they important?

To thrive as a CVS Data Analyst, you need strong analytical skills, a background in statistics or data science, and proficiency in data management, often supported by a relevant degree. Familiarity with tools such as SQL, Excel, Python, and data visualization platforms like Tableau, as well as experience with healthcare data systems, is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are vital soft skills for interpreting data and sharing insights with stakeholders. These skills ensure accurate data analysis, drive informed decision-making, and support business objectives within the healthcare environment.

What are some common challenges a CVS Data Analyst might face when working with large healthcare datasets?

A CVS Data Analyst often encounters challenges such as ensuring data accuracy and consistency across multiple sources, dealing with missing or incomplete information, and maintaining compliance with healthcare privacy regulations like HIPAA. Additionally, integrating data from various platforms (such as pharmacy, insurance, and clinical systems) can be complex and time-consuming. Effective communication with technical teams and stakeholders is crucial to interpret and present findings in a way that supports business decisions.

What does a CVS Data Analyst do?

A CVS Data Analyst is responsible for collecting, analyzing, and interpreting data related to CVS Health's business operations, such as pharmacy performance, customer trends, and healthcare outcomes. They use statistical tools and data visualization techniques to generate reports and insights that help inform business decisions and improve efficiency. CVS Data Analysts often work with large datasets from various sources and collaborate with teams across the organization to support data-driven strategies.
More about Cvs Data Analyst jobs
What cities are hiring for Cvs Data Analyst jobs? Cities with the most Cvs Data Analyst job openings:
What states have the most Cvs Data Analyst jobs? States with the most job openings for Cvs Data Analyst jobs include:
Infographic showing various Cvs Data Analyst job openings in the United States as of June 2026, with employment types broken down into 4% Internship, 21% Full Time, 17% Part Time, and 58% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Full-time

Posted 10 days ago


Job description

Job Title: Data analyst
Location: Onsite
Long Term Contract
Job Summary:
We are looking for an IT Data Analyst with proven experience Requesting SOW for worker. The candidate should be proactive and have strong skills in Data Analysis and visualization. Please would you submit your rates with some CVs for potential candidates?
Below you can see the details of the profile we are looking for:
Business analyst skills: work statistical indicators, metric, ratios, etc. for business needs.
Data analyst with data flow experience, design-design and build data models from data sources to front- end-extract, clean and transform data sources. Experience in analysis using multiple data sources (ERP, CRM, SQL, APIs, etc.).
Financial data experience.
Power BI: data transformation (power query M language), data modelling( DAX), workspace, PBI Builder, build permissions, dynamic RLS, data analysis and power BI (quality in the visuals-max functionalities).
Power Apps & Power Automate: Design and implementation of customized tools for the business.
Data engineer: ETL process, data warehouse, Snowflake.
Wide experience in collaboration with business partners for collection of new requirements and translation into technical solutions.
Bachelor's degree in computer science, mathematics, or statistics preferred.
Proactiveness.