ZipRecruiter

Log In

1

Executive Data Mapping Jobs (NOW HIRING)

Appodeal

Financial Data Analyst

Parkland, FL

... correct data mapping and lineage. * Maintain and improve the financial system of record ... Build datasets that support: - executive reporting, - product and operational analysis. * Build ...

previous page

Showing results 41-60

All JobsScience JobsGeography JobsExecutive Data Mapping Jobs

Executive Data Mapping information

See salary details

$26.5K

$93.6K

$184K

How much do executive data mapping jobs pay per year?

As of Aug 21, 2026, the average yearly pay for executive data mapping in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What cities are hiring for Executive Data Mapping jobs?

Cities with the most Executive Data Mapping job openings:

What are the most commonly searched types of Data Mapping jobs?

The most popular types of Data Mapping jobs are:

What states have the most Executive Data Mapping jobs?

States with the most job openings for Executive Data Mapping jobs include:

Executive Data Mapping jobs near you

Financial Data Analyst

Appodeal

Parkland, FL

Full-time

Re-posted 9 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