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Cvs Data Analyst Jobs in Florida (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

Account Manager

Fort Myers, FL · On-site

Analyst Account Manager At CVS Health, we're building a world of health around every consumer and ... Review and interpret data related to claims, utilization, and service issues. Communicate insights ...

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All JobsCvs Data Analyst JobsCvs Data Analyst Jobs in Florida

Cvs Data Analyst information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do cvs data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for cvs data analyst in Florida is $61,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $72,500.00 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.

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, often ranging from mid to high income levels depending on experience, education, and location. The role involves analyzing large datasets, using tools like SQL and Excel, and may require relevant certifications, which can influence earning potential.

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 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 popular job titles related to Cvs Data Analyst jobs in Florida? For Cvs Data Analyst jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Cvs Data Analyst jobs in Florida look for? The top searched job categories for Cvs Data Analyst jobs in Florida are:
What cities in Florida are hiring for Cvs Data Analyst jobs? Cities in Florida with the most Cvs Data Analyst job openings:
Cvs Data Analyst jobs near you
Infographic showing various Cvs Data Analyst job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

Data Analyst

ACI Infotech

Tampa, FL • On-site

Full-time

Re-posted 8 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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