1

Executive Data Analyst Jobs in Florida (NOW HIRING)

We are seeking an analytical growth architect to bridge the gap between market reality, advanced data infrastructure, and executive strategy. Operating at the structural intersection of Product ...

The Risk Adjustment Analyst will be the lead in the design, implementation, and maintenance of all ... Provide concise data reports and clear data visualizations for executive level reporting through ...

This is a mission-critical hire with strong executive sponsorship, including direct support from ... Strong SQL skills with the ability to query and analyze data from multiple sources. * Proven ...

Build datasets that support: - executive reporting, - product and operational analysis. * Build dynamic, forecasting models that pull from historical data, update with new actuals, and support ...

The Risk Adjustment Analyst will be the lead in the design, implementation, and maintenance of all ... Provide concise data reports and clear data visualizations for executive level reporting through ...

Senior Principle PM Data Analyst

Gainesville, FL · On-site

$77K - $98K/yr

Synthesize complex complaint, investigation, product, and quality-system data into executive-level ... Provide expert analytical support for regulatory submissions, health authority inquiries ...

As a Global Marketing Data Analyst, you'll play a critical role in helping teams understand what ... Builds and maintains executive-ready dashboards and scorecards with consistent KPI definitions ...

Showing results 21-40

Executive Data Analyst information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do executive data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for executive 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 an executive data analyst?

Executive Data Analysts are highly skilled professionals who collect, analyze, and interpret complex data to support strategic decision-making at the executive level. They transform raw data into actionable insights, often preparing reports and presentations for senior leadership. Their work helps organizations identify trends, forecast outcomes, and make data-driven decisions that align with business goals. Executive Data Analysts typically have strong analytical, technical, and communication skills, and frequently collaborate with executives, managers, and other stakeholders.

What are some common challenges executive data analysts face when presenting insights to senior leadership?

Executive Data Analysts often encounter the challenge of translating complex data findings into clear, actionable insights for senior leadership. Communicating technical results in a concise and strategic manner, tailored to high-level business goals, requires strong storytelling and visualization skills. Additionally, balancing the need for data accuracy with tight deadlines and shifting priorities can be demanding. Collaborating closely with cross-functional teams, such as finance and operations, is essential to ensure recommendations are aligned with organizational objectives.

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

To thrive as an Executive Data Analyst, you need expertise in data analysis, statistical modeling, and business intelligence, often supported by a bachelor's or master's degree in a quantitative field. Proficiency with tools like SQL, Python, R, and advanced data visualization platforms such as Tableau or Power BI is typically required, along with relevant certifications. Strong communication, critical thinking, and presentation skills help you translate complex data insights for executive decision-makers. These skills are crucial for driving strategic initiatives and enabling data-driven decision-making at the highest organizational levels.

What is the difference between Executive Data Analyst vs Data Scientist?

AspectExecutive Data AnalystData Scientist
Required CredentialsBachelor's degree in data analysis, business, or related field; often certifications in data toolsBachelor's or master's in data science, statistics, or related; often advanced certifications
Work EnvironmentCorporate offices, business units, analytics teamsResearch labs, tech companies, analytics teams
Employer & Industry UsageBusiness, finance, marketing, healthcareTech, finance, e-commerce, research
Common Search & ComparisonYesYes

Executive Data Analysts focus on interpreting data to support business decisions, often with a managerial perspective. Data Scientists develop complex models and algorithms for predictive analytics. While both roles require strong analytical skills and familiarity with data tools, Data Scientists typically have more advanced technical expertise and education. The roles overlap in data analysis but differ in scope and technical depth.

What are the most commonly searched types of Data Analyst jobs in Florida?

The most popular types of Data Analyst jobs in Florida are:

What job categories do people searching Executive Data Analyst jobs in Florida look for?

The top searched job categories for Executive Data Analyst jobs in Florida are:

What cities in Florida are hiring for Executive Data Analyst jobs?

Cities in Florida with the most Executive Data Analyst job openings:

Infographic showing various Executive Data Analyst job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

$55K - $106K/yr

Full-time

Posted 4 days ago


Toho Water Authority rating

7.6

Company rating: 7.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

General Description Salary Data Analyst I: $26.82-$35.74 Data Analyst II: $28.69-$38.25 Data Analyst III: $32.13-45.90 Senior Data Analyst: $36.00-$51.42 The Data Analyst will serve as a key analytical partner between Information Technology and Customer Service, with a primary focus on data and processes within Toho's Customer Information System (CIS). This position will use reporting and data analysis to identify errors, uncover trends, evaluate business processes, and highlight opportunities to improve efficiency and system utilization. This role goes beyond simply running reports

The Data Analyst will dig into the data to understand what is happening, identify why issues are occurring, and work collaboratively with Customer Service and Information Technology teams to develop practical solutions. From identifying recurring data or processing errors to evaluating workflows and finding opportunities for automation or process improvement, this position will help turn CIS data into actionable information that strengthens day-to-day operations. Essential Functions 1.

Collects, analyzes, and interprets data from multiple organizational systems and sources to identify trends, patterns, relationships, and opportunities for improvement. 2. Develops and maintains dashboards, reports, scorecards, and other analytical tools that provide leaders and departments with timely and meaningful performance information.

3. Partners with departments to understand business processes, operational challenges, reporting needs, and key performance indicators and translates those needs into effective data solutions. 4.

Analyzes operational and organizational performance data to identify emerging trends, performance gaps, risks, efficiencies, and opportunities for improvement. 5. Translates complex datasets and analytical findings into clear, concise, and actionable information for technical and non-technical audiences.

6. Supports the development, monitoring, and reporting of organizational key performance indicators, strategic plan measures, departmental metrics, and other performance measures. 7.

Integrates and evaluates information from multiple systems and datasets to provide a more comprehensive view of organizational performance. 8. Develops recurring and ad hoc reports to support operational decisions, executive leadership, strategic initiatives, Board reporting, and other organizational needs.

9. Identifies opportunities to improve or automate existing reporting processes, reduce manual data collection, and increase access to reliable information. 10.

Evaluates data quality and works with appropriate departments and system owners to identify and resolve inconsistencies, gaps, duplication, and other data integrity concerns. 11. Assists with establishing and maintaining organizational standards for data definitions, reporting methodologies, documentation, and data governance.

12. Performs quantitative and qualitative analysis to support business cases, organizational initiatives, resource planning, process improvements, and operational decision-making. 13.

Develops visualizations and presentations that effectively communicate analytical findings, trends, and recommendations to leadership and other stakeholders. 14. Collaborates with Business Technology, Finance, Human Resources, Engineering, Operations, Customer Service, and other functional areas to improve the organization's ability to use data across departmental boundaries.

15. Supports departments in identifying meaningful performance measures and developing methods to effectively collect, analyze, and monitor those measures. 16.

Conducts benchmarking and comparative analysis using internal historical information and appropriate external data sources. 17. Documents analytical methodologies, data sources, calculations, assumptions, business rules, and reporting processes to promote consistency and continuity.

18. Provides guidance and support to employees and leaders in interpreting dashboards, reports, metrics, and analytical findings. 19.

Maintains current knowledge of data analytics, visualization, business intelligence, and reporting technologies and recommends tools or practices that may improve organizational capabilities. 20. Participates in cross-functional projects and organizational initiatives requiring data analysis, performance measurement, reporting, or business intelligence support.

21. Other duties as assigned. Minimum Qualifications Any combination of training and experience that would provide the required knowledge, skills and abilities is qualifying.

A typical way to obtain that required qualification would be: 1. A minimum of a High School Diploma or GED issued from an approved GED Administrator 2. Three (3) years of progressively responsible experience involving data analysis, business intelligence, reporting, performance measurement, or a closely related analytical function.

3. Must possess and maintain a valid State of Florida Class E Driver's License. 4.

SQL Queries: Proven, hands-on experience writing, optimizing, and troubleshooting SQL queries for data extraction, manipulation, and integration DESIRABLE QUALIFICATIONS: 1. Experience using SQL to query, combine, validate, and analyze data from multiple sources. 2.

Experience with Power Query, Power Automate, or other Microsoft Power Platform tools. 3. Experience analyzing and integrating data from multiple enterprise systems or databases.

4. Experience developing and monitoring key performance indicators (KPIs), organizational scorecards, and performance measures. 5.

Experience identifying trends, operational efficiencies, risks, and improvement opportunities through data analysis. 6. Experience with data quality, data governance, data validation, or development of standardized data definitions and reporting practices.

7. Experience automating recurring reports or improving manual data collection and reporting processes. 8.

Experience conducting statistical, trend, predictive, or comparative analysis. 9. Architects, builds, and maintains tabular data models and interactive analytics dashboards within Power BI or other enterprise BI tools 10.

Business Intelligence: Direct experience designing, building, and maintaining interactive, high-impact dashboards and business intelligence reports Physical Demands PHYSICAL REQUIREMENTS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to sit; use hands to handle or feel and talk or hear. The employee is frequently required to reach with hands and arms.

The employee is occasionally required to stand; walk and bend, kneel, squat, or crawl. The employee must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus.

WORKING CONDITIONS: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually moderate. Environmental factors include indoor, flat surface, noise, sitting with occasionally walking and standing.


What Toho Water Authority employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom