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Executive Data Analyst Jobs in Florida (NOW HIRING)

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 ...

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 ...

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 Fraud Data Analyst

Tampa, FL ยท Remote

$75K - $117K/yr

Develop and produce executive key performance metrics and report to senior management and the ... Analyze loss data and recommend/implement appropriate loss prevention strategies * Evaluate fraud ...

Develop and produce executive key performance metrics and report to senior management and the ... Analyze loss data and recommend/implement appropriate loss prevention strategies * Evaluate fraud ...

Global Marketing Data Analyst

Largo, FL ยท Remote

$85K - $148K/yr

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 2, 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.

Financial Data Analyst

Appodeal

Parkland, FL โ€ข On-site

Full-time

Re-posted 21 days ago


Job description

We are seeking a Financial Data Analyst to own the integrity, structure, and usability of financial data across systems. This role sits at the intersection of Finance, Data, and Systems, ensuring that financial metrics are accurate, scalable, and directly usable for decision-making.The role will build and maintain a finance data layer that acts as the single source of truth and powers AI-driven insights and dashboards, and dynamically produce reports that drive business decisions.

Key Responsibilitiesย 

Financial Data Integrity:

  • Ensure accuracy and consistency of financial data across: ย 
    - ERP (e.g., NetSuite),ย 
    - operational systems,
    - data warehouse / BI tools.ย ย 
  • Reconcile partner reported revenue across SSPs, DSPs, and exchanges with internal reporting and analytics.
  • Identify and resolve discrepancies between systems (e.g., revenue, cost, payments).
  • Establish repeatable reconciliation frameworks (not ad hoc fixes).

Data Pipeline & Systems Ownership:

  • Partner with Data Engineering to: ย 
    - define financial data requirements,ย 
    - validate pipelines and transformations,ย ย 
    - ensure correct data mapping and lineage.
  • Maintain and improve the financial system of record.
  • Translate accounting logic into data models and rules.ย ย 

Metrics & Data Modeling:

  • Define and maintain key financial metrics (revenue, gross profit, margins, etc.).
  • Ensure alignment between: ย 
    - dashboards,
    - internal reporting,ย ย 
    - financial statements;ย 
  • ย Build datasets that support: ย 
    - executive reporting,
    - product and operational analysis.
  • Build dynamic, forecasting models that pull from historical data, update with new actuals, and support flexible scenario and assumption inputs.

Close & Reporting Support:

  • Support month-end close through: ย 
    - data validation,
    reconciliation automation.
  • Reduce reliance on manual journal entries by improving upstream data quality.

Controls & Audit Readiness:

  • Implement data-level controls to prevent errors at the source.ย ย 
  • Ensure financial data is: ย 
    - auditable,
    - traceable from source to reporting.
  • Support audits with clear data documentation.

Cross-Functional Collaborationย 

  • Work closely with: ย 
    - Accounting,
    - FP&A,
    - Data Engineering,
    - Product / Operations.ย ย 
  • Act as a translator between finance requirements and technical implementation.ย ย 

Qualificationsย 

Required:

  • Bachelor's degree in Accounting, Finance, Data, or related field.
  • 2-5+ years experience in: ย 
    - financial data analysis,ย 
    - business intelligence,
    - orย FP&A with strong data exposure.
  • Strong SQL skills.
  • Advanced Excel.
  • Familiarity with ERP systems (NetSuite).
  • Experience working with large datasets and high-volume environments (FinTech, Banking, Marketplaces, AdTech, or similar).ย ย 
  • Python - a plus.
  • Experience with BI tools (Tableau, Looker, Power BI) - a plus.

Skills & Competencies:ย 

  • Strong systems thinking (understands end-to-end data flows).ย ย 
  • Ability to identify root causes of data discrepancies.
  • Detail-oriented with high standards for data accuracy.ย 
  • Automation mindset (eliminate manual work).
  • Ability to communicate with both finance and engineering teams.ย 

Why join Appodeal?

  • Be part of a mission-driven company that empowers mobile businesses worldwide.
  • Work with a talented international team that values creativity, ownership, and collaboration.
  • Grow your career in a fast-paced, innovative environment where your work makes a real impact.
  • Competitive compensation, flexible working arrangements, and opportunities for professional development.