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Cvs Data Analyst Jobs (NOW HIRING)

ACI Infotech

Data Analyst

Tampa, FL · On-site

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 ...

CVS Health

Data Scientist - Clinical AI

New York, NY · On-site

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 Health

Senior Analyst, Digital Analytics

Woonsocket, RI · On-site

$46K - $112K/yr

Position Summary The Senior Analyst - Omnichannel Analytics helps CVS understand how customers interact across digital, retail, and pharmacy channels. This role turns complex data into clear insights ...

CVS Health

Senior Data Scientist - PBM Analytics

Chicago, IL · On-site

$101K - $222K/yr

At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose ... Within the data science department ("Analytics & Behavior Change"), you'll have the opportunity to ...

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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 Aug 18, 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 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.

What are the key skills and qualifications needed to thrive as a CVS data analyst?

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 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.

Is a CVS data analyst a high paying job?

A CVS data analyst typically earns a salary that is competitive within the data analysis field, with pay varying based on experience, location, and education. Entry-level positions may start lower, while experienced analysts with skills in SQL, Excel, and data visualization tools can earn higher salaries. Overall, it is considered a well-paying role compared to many entry-level jobs in retail or healthcare data environments.

What is a CVS Data Analyst?

A CVS Data Analyst is a professional responsible for collecting, analyzing, and interpreting data related to CVS Health operations, sales, or customer trends. They use tools like SQL, Excel, and data visualization software to support decision-making and improve business performance. Strong analytical skills and knowledge of healthcare or retail data are often required for this role.
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Cvs Data Analyst jobs near you
Infographic showing various Cvs Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

ACI Infotech

Tampa, FL • On-site

Full-time

Re-posted 17 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.

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