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Executive Data Analyst Jobs in Boca Raton, FL (NOW HIRING)

Appodeal

Financial Data Analyst

Parkland, FL

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 ...

Appodeal

Financial Data Analyst

Parkland, FL · On-site

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 ...

WGI Inc

Executive Analyst

West Palm Beach, FL · On-site

Executive Analyst Job Locations US-FL-West Palm Beach Job ID 2026-3685 Category Corporate Type ... Leverage AI tools, data analytics, and emerging technologies in their day to day activities.

WGI

Executive Analyst

West Palm Beach, FL

This role will work directly with the CEO, President, and senior leadership team, providing ... Leverage AI tools, data analytics, and emerging technologies in their day to day activities.

WGI

Executive Analyst

West Palm Beach, FL · On-site

This role will work directly with the CEO, President, and senior leadership team, providing ... Leverage AI tools, data analytics, and emerging technologies in their day to day activities.

WGI

Executive Analyst

West Palm Beach, FL

This role will work directly with the CEO, President, and senior leadership team, providing ... Leverage AI tools, data analytics, and emerging technologies in their day to day activities.

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All JobsData Analyst JobsExecutive Data Analyst JobsExecutive Data Analyst Jobs in Boca Raton, FL

Executive Data Analyst information

See Boca Raton, FL salary details

$32.2K

$78.2K

$128.7K

How much do executive data analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for executive data analyst in Boca Raton, FL is $78,187.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $91,800.00 per year, depending on experience, location, and employer.

What jobs make $1,000,000 a year?

Executive Data Analysts typically do not earn $1,000,000 annually; such high salaries are usually found in top executive roles like CEOs, CFOs, or successful entrepreneurs. High earnings in data-related fields may occur with significant bonuses, stock options, or in leadership positions within large corporations, but reaching the million-dollar mark is rare for standard data analyst roles. Advanced skills, extensive experience, and strategic responsibilities are often required for such compensation levels.

What are Executive Data Analysts?

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 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 a data analyst executive?

An executive data analyst is a senior professional responsible for analyzing complex data sets to support strategic decision-making within an organization. They often lead data teams, utilize advanced tools like SQL and data visualization software, and have strong analytical and leadership skills. This role typically requires extensive experience in data analysis and may involve overseeing data projects and reporting to executive management.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and making strategic recommendations that require human judgment. Data analysts will increasingly work alongside AI, focusing on higher-level analysis, storytelling, and decision support skills.

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 jobs pay 200,000 a year in the USA?

Executive Data Analysts, along with roles like data science managers, senior software engineers, and investment bankers, can earn $200,000 or more annually in the USA. These positions typically require advanced skills, extensive experience, and often involve leadership or specialized technical expertise. Compensation varies based on industry, location, and company size.

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 most commonly searched types of Data Analyst jobs in Boca Raton, FL? The most popular types of Data Analyst jobs in Boca Raton, FL are:
What are popular job titles related to Executive Data Analyst jobs in Boca Raton, FL? For Executive Data Analyst jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Executive Data Analyst jobs in Boca Raton, FL look for? The top searched job categories for Executive Data Analyst jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Executive Data Analyst jobs? Cities near Boca Raton, FL with the most Executive Data Analyst job openings:
Executive Data Analyst jobs near you
Financial Data Analyst

Financial Data Analyst

Appodeal

Parkland, FL

Other

Re-posted yesterday

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 Responsibilities 

Financial Data Integrity:

  • Ensure accuracy and consistency of financial data across:  
    - ERP (e.g., NetSuite), 
    - operational systems,
    - data warehouse / BI tools.  
  • 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:  
    - define financial data requirements, 
    - validate pipelines and transformations,  
    - ensure correct data mapping and lineage.
  • Maintain and improve the financial system of record.
  • Translate accounting logic into data models and rules.  

Metrics & Data Modeling:

  • Define and maintain key financial metrics (revenue, gross profit, margins, etc.).
  • Ensure alignment between:  
    - dashboards,
    - internal reporting,  
    - financial statements; 
  •  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 flexible scenario and assumption inputs.

Close & Reporting Support:

  • Support month-end close through:  
    - 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.  
  • Ensure financial data is:  
    - auditable,
    - traceable from source to reporting.
  • Support audits with clear data documentation.

Cross-Functional Collaboration 

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

Qualifications 

Required:

  • Bachelor's degree in Accounting, Finance, Data, or related field.
  • 2-5+ years experience in:  
    - financial data analysis, 
    - business intelligence,
    - or 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).  
  • Python - a plus.
  • Experience with BI tools (Tableau, Looker, Power BI) - a plus.

Skills & Competencies: 

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

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.

Apply