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Program Data Analyst Jobs in Jacksonville, FL (NOW HIRING)

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Program Data Analyst information

See Jacksonville, FL salary details

$31.5K

$76.6K

$126K

How much do program data analyst jobs pay per year?

As of Sep 12, 2026, the average yearly pay for program data analyst in Jacksonville, FL is $76,572.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,900.00 and $89,900.00 per year, depending on experience, location, and employer.

What does a program data analyst do?

A Program Data Analyst is responsible for gathering, analyzing, and interpreting data to help organizations make informed decisions about their programs or projects. They work closely with program managers and stakeholders to identify key metrics, develop data collection methods, and present findings in clear reports or dashboards. Their work helps organizations measure program effectiveness, optimize processes, and support strategic planning. Program Data Analysts often use statistical software and database tools to manage large datasets and ensure data accuracy.

How does a program data analyst typically collaborate with program managers and other stakeholders?

As a Program Data Analyst, you will regularly work alongside program managers, project teams, and sometimes external partners to gather data requirements, interpret findings, and support decision-making. You may be responsible for translating data insights into actionable recommendations and presenting these findings in meetings or reports. Collaboration often involves frequent communication to ensure data needs align with program goals, troubleshooting data quality issues, and developing dashboards or tools that make information accessible to non-technical stakeholders.

What are the key skills and qualifications needed to thrive as a program data analyst, and why are they important?

To thrive as a Program Data Analyst, you need strong analytical skills, proficiency in statistics, and a bachelor’s degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Python, R, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting and presenting complex data insights. These skills ensure accurate data-driven decision-making and support organizational goals through actionable insights.

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

AspectProgram Data AnalystData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; proficiency in data analysis toolsBachelor's degree in similar fields; strong analytical skills and familiarity with data tools
Work EnvironmentTypically in program management, government agencies, or non-profits; focuses on program-specific dataIn various industries including finance, healthcare, marketing; broader data analysis roles
Employer & Industry UsageUsed by organizations managing specific programs or projectsWidely used across multiple industries for general data analysis tasks

The Program Data Analyst specializes in analyzing data related to specific programs or projects, often within government or non-profit sectors. In contrast, a Data Analyst has a broader role across industries, focusing on general data interpretation and reporting. While both roles require similar skills and educational backgrounds, their focus areas and work environments differ.

Infographic showing various Program Data Analyst job openings in Jacksonville, FL as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $74,312 per year, or $35.7 per hour.

Information Technology_USA - USA_Developer

Jacksonville, FL β€’ On-site

Real Soft, Inc.
IT ServicesΒ β€’Β 501 - 1,000 employees

Contractor

Re-posted 11 days ago


Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
: -/hr
MSP Owner: Kelly Gosciminski
Location: Phoenix, AZ - onsite
Duration: 6 months
skill id: 10820737
FODI Product role
6-7 Years
"Solution Design:
β€’ Work with Technology, Finance partners, source system owners, and other stakeholders to locate the data required by Finance and ensure the data architecture design supports Finance's accounting, reporting and analytics requirements
β€’ Document future state Finance processes for data acquisition, enrichment, provisioning, and reporting
β€’ Identify opportunities to adopt innovative technologies
Build/Deployment:
β€’ Work with Technology, Finance partners, source system owners, and other stakeholders, to deploy solutions across the appropriate Finance user base
β€’ Build, test, and deploy solutions to acquire, enrich and provision the required data and ensure data integrity, accuracy, and completeness
β€’ Perform data validation as part of Finance user testing as needed.
β€’ Lead the creation and execution of systems integration and pre-user acceptance testing plans and test cases
β€’ Data Controls and Ongoing Production Support
β€’ Design and build ongoing data process controls by collaborating with Technology and Data Governance as needed
β€’ Investigate data anomalies and research ad-hoc data inquiries as part of ongoing production support"
"β€’ Finance process analysis
β€’ Perform data mapping and map gap analysis and develop source to target mapping documents for credit card data products
β€’ Work with stakeholders within and outside of Finance to analyze and document their process requirements in terms of data, required transformations, and reporting/analytical output
β€’ Participate in development of plans and strategies, best practices, and standards related to data management processes, data products, data security and programs
β€’ Create features for ongoing sprints and manage a prioritized list of data requirements / user stories
β€’ Document processing requirements, including data and transaction volumes, scalability, security and performance requirements"
Finance process , FODI Product Role
Role Descriptions: Finance process analysisPerform data mapping and map gap analysis and develop source to target mapping documents for credit card data productsWork with stakeholders within and outside of Finance to analyze and document their process requirements in terms of data| required transformations| and reporting/analytical outputParticipate in development of plans and strategies| best practices| and standards related to data management processes| data products| data security and programsCreate features for ongoing sprints and manage a prioritized list of data requirements / user storiesDocument processing requirements| including data and transaction volumes| scalability| security and performance requirementsSolution Design:Work with Technology| Finance partners| source system owners| and other stakeholders to locate the data required by Finance and ensure the data architecture design supports Finances accounting| reporting and analytics requirementsDocument future state Finance processes for data acquisition| enrichment| provisioning| and reportingIdentify opportunities to adopt innovative technologiesBuild/Deployment:Work with Technology| Finance partners| source system owners| and other stakeholders| to deploy solutions across the appropriate Finance user baseBuild| test| and deploy solutions to acquire| enrich and provision the required data and ensure data integrity| accuracy| and completenessPerform data validation as part of Finance user testing as needed.Lead the creation and execution of systems integration and pre-user acceptance testing plans and test casesData Controls and Ongoing Production SupportDesign and build ongoing data process controls by collaborating with Technology and Data Governance as neededInvestigate data anomalies and research ad-hoc data inquiries as part of ongoing production support
Essential Skills: Finance process analysisPerform data mapping and map gap analysis and develop source to target mapping documents for credit card data productsWork with stakeholders within and outside of Finance to analyze and document their process requirements in terms of data| required transformations| and reporting/analytical outputParticipate in development of plans and strategies| best practices| and standards related to data management processes| data products| data security and programsCreate features for ongoing sprints and manage a prioritized list of data requirements / user storiesDocument processing requirements| including data and transaction volumes| scalability| security and performance requirementsSolution Design:Work with Technology| Finance partners| source system owners| and other stakeholders to locate the data required by Finance and ensure the data architecture design supports Finances accounting| reporting and analytics requirementsDocument future state Finance processes for data acquisition| enrichment| provisioning| and reportingIdentify opportunities to adopt innovative technologiesBuild/Deployment:Work with Technology| Finance partners| source system owners| and other stakeholders| to deploy solutions across the appropriate Finance user baseBuild| test| and deploy solutions to acquire| enrich and provision the required data and ensure data integrity| accuracy| and completenessPerform data validation as part of Finance user testing as needed.Lead the creation and execution of systems integration and pre-user acceptance testing plans and test casesData Controls and Ongoing Production SupportDesign and build ongoing data process controls by collaborating with Technology and Data Governance as neededInvestigate data anomalies and research ad-hoc data inquiries as part of ongoing production support
Desirable Skills:
Keyword:
Skills: Business Finance Management~EIS : Production Engineering
Experience Required:, Project Code :