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Financial Data Analyst Jobs in Florida (NOW HIRING)

Appodeal

Financial Data Analyst

Parkland, FL · On-site

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 ...

CAI

Financial Data Analyst

Miramar, FL · Hybrid

Financial Data Analyst Req number: R6473 Employment type: Full time Worksite flexibility: Onsite Who we are CAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of ...

Appodeal

Financial Data Analyst

Parkland, FL · On-site

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 ...

ACI Infotech

Data Analyst

Tampa, FL · On-site

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 ...

Insight Global

Junior Data Analyst

Plantation, FL · On-site

$25 - $36/hr

Bachelor's degree in Business, Finance, Economics, or related field * 1-3 years of experience in Pricing (if possible within logistics, finance, data analysis, or related field) * Strong analytical ...

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Financial Data Analyst information

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$26.2K

$63.9K

$106.1K

How much do financial data analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for financial data analyst in Florida is $63,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $75,100.00 per year, depending on experience, location, and employer.

What is a financial data analyst?

Financial Data Analysts are professionals who collect, process, and analyze financial data to help organizations make informed business decisions. They use statistical tools and financial modeling techniques to interpret data, identify trends, and forecast future financial performance. Their work supports budgeting, investment strategies, risk assessment, and overall financial planning. Financial Data Analysts often collaborate with other departments to provide insights that drive business growth and efficiency.

What does a financial data analyst do?

Financial data analysts examine financial records and prepare comprehensive reports for their company. These reports are used to identify the current direction of production and help managers forecast future trends. As a financial data analyst, your job duties include compiling data from the market and various departments within the company, analyze the information, and create reports for upper management. The qualifications to pursue a career as a financial data analyst include a bachelor’s degree in finance, economics, accounting, or a related field and industry experience.

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

To thrive as a Financial Data Analyst, you need strong analytical skills, a solid understanding of finance and accounting principles, and a bachelor's degree in finance, economics, or a related field. Proficiency in data analysis tools such as Excel, SQL, Python, and financial modeling software, as well as certifications like CFA or FRM, are often expected. Attention to detail, problem-solving abilities, and clear communication skills set exceptional analysts apart in interpreting and presenting complex data. These skills are vital for delivering accurate financial insights that inform business decisions and drive organizational success.

What are some common challenges financial data analysts face when communicating their findings to non-technical stakeholders?

Financial Data Analysts often encounter the challenge of translating complex quantitative data and statistical analyses into clear, actionable insights for non-technical stakeholders. This requires not only a deep understanding of financial concepts but also strong communication skills to present data visually and narratively. Bridging this gap can involve tailoring presentations, using data visualization tools, and focusing on the business implications of the analysis rather than technical details. Effective collaboration with cross-functional teams, such as finance, operations, and management, is key to ensuring that data-driven recommendations are understood and implemented.

Is it difficult to become a financial data analyst?

Becoming a financial data analyst typically requires a strong foundation in finance, accounting, or related fields, along with skills in data analysis tools like Excel, SQL, or Python. Gaining relevant experience and certifications such as CFA or CFA Level I can also enhance job prospects, but the difficulty varies based on individual background and effort.
More about Financial Data Analyst jobs

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

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

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Financial Data Analyst jobs near you
Infographic showing various Financial Data Analyst job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $63,863 per year, or $30.7 per hour.

Financial Data Analyst

Appodeal

Parkland, FL • On-site

Full-time

Re-posted 4 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 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