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Virtual Financial Data Analyst Jobs in Florida (NOW HIRING)

Appodeal

Financial Data Analyst

Parkland, FL

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 ...

Aegis Medical Group

Data Analyst

Leesburg, FL

... and financial data from insurance providers, and working with physicians and clinical staff to ... Uses data analysis techniques, including Data/Trend Analysis, to identify and implement ...

Aegis Medical Group

Data Analyst

Leesburg, FL

... and financial data from insurance providers, and working with physicians and clinical staff to ... Uses data analysis techniques, including Data/Trend Analysis, to identify and implement ...

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 ...

Aegis Medical Group

Data Analyst

Leesburg, FL · On-site

$43K - $51K/yr

Statistics, Economics, Corporate Finance, Healthcare Management and Data Analysis tools Required Knowledge, Skills and Abilities * Knowledge of creating data models and deploying reports with SSRS

SmartIPlace

ENTERPRISE DATA ANALYST

Juno Beach, FL · On-site

$50 - $55/hr

Interview Process: 1st round virtual Since this is an enterprise role reporting to corporate, 2nd ... Experience with Corporate Finance data. * Experience of AWS Redshift. * ERwin data modeling ...

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Virtual Financial Data Analyst information

Is FP&A a stressful job?

Financial Planning and Analysis (FP&A) roles can be stressful due to tight deadlines, high accuracy requirements, and the need for detailed financial forecasting. The workload may fluctuate with business cycles and reporting periods, requiring strong analytical skills and attention to detail. However, stress levels vary depending on company culture, workload management, and individual resilience.

How much can a remote data analyst make?

A remote virtual financial data analyst typically earns between $50,000 and $85,000 annually, depending on experience, skills, and industry. Senior analysts or those with specialized skills in tools like Excel, SQL, or Python can earn higher salaries, especially with certifications and advanced expertise.

What does a virtual data analyst do?

A virtual financial data analyst collects, analyzes, and interprets financial data to support business decision-making. They use tools like Excel, SQL, or data visualization software and often work remotely, requiring strong analytical skills and attention to detail.

Is AI replacing financial analysts?

AI is transforming the role of financial data analysts by automating data processing and analysis tasks, allowing analysts to focus on strategic decision-making. While AI tools can handle routine work, human expertise remains essential for interpreting complex data, providing insights, and making judgment-based recommendations. Financial analysts who develop skills in data analysis, programming, and AI tools will continue to be valuable in the evolving job market.

What is the difference between Virtual Financial Data Analyst vs Virtual Financial Analyst?

AspectVirtual Financial Data AnalystVirtual Financial Analyst
CredentialsTypically requires a degree in finance, accounting, or data analysis; certifications like CFA or CPA are commonUsually holds a degree in finance or related field; certifications like CFA are advantageous but not mandatory
Work EnvironmentFocuses on analyzing financial data, creating reports, and data modeling remotelyInvolves financial planning, investment analysis, and advising, often with data analysis components remotely
Employer & Industry UsageUsed by finance firms, investment companies, and corporations for data-driven decision makingEmployed by banks, investment firms, and corporate finance departments for financial strategy and analysis

While both roles involve finance and data skills, the Virtual Financial Data Analyst primarily focuses on analyzing and interpreting financial data, whereas the Virtual Financial Analyst often combines data analysis with financial planning and advising. The roles overlap in skills and work environment but differ in core responsibilities.

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:
What are popular job titles related to Virtual Financial Data Analyst jobs in Florida? For Virtual Financial Data Analyst jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Virtual Financial Data Analyst jobs in Florida look for? The top searched job categories for Virtual Financial Data Analyst jobs in Florida are:
What cities in Florida are hiring for Virtual Financial Data Analyst jobs? Cities in Florida with the most Virtual Financial Data Analyst job openings:
Virtual Financial Data Analyst jobs near you
Infographic showing various Virtual Financial Data Analyst job openings in Florida as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Financial Data Analyst

Financial Data Analyst

Appodeal

Parkland, FL

Other

Posted 13 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