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Data Mapping Analyst Jobs in Florida (NOW HIRING)

We are seeking a Financial Data Analyst to own the integrity, structure, and usability of financial ... correct data mapping and lineage. * Maintain and improve the financial system of record.

Data Architect

Tampa, FL · On-site

$110 - $150/hr

... data analytics environment. * Design, modify, test, and implement data warehouse and all related ETL functions. * Develop procedures for meta data management and create data mapping documents.

Senior Data Analysts

Tampa, FL · On-site

$60 - $90/hr

Building target maps to conduct data ETL into the data warehouse and cloud platforms; Providing SQL server analysis, Metadata management, data governance, and data lineage; Designing data models for ...

Data Architect

Orlando, FL · On-site

$59.50 - $76.50/hr

Experience in data profiling, data mapping, and data lineage analysis is a plus. * Industry certifications in Informatica or data management domains are advantageous.

Showing results 21-40

Data Mapping Analyst information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do data mapping analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data mapping 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 a data mapping analyst?

A Data Mapping Analyst is responsible for analyzing, organizing, and translating data between different systems, formats, or databases. They ensure data accuracy, consistency, and proper integration by creating mapping documents and working closely with developers, business analysts, and data engineers. Their role is critical in data migration, system integration, and maintaining data integrity across platforms. Strong analytical skills, attention to detail, and knowledge of data structures and transformation processes are essential for success in this role.

What are the key skills and qualifications needed to thrive as a data mapping analyst?

To thrive as a Data Mapping Analyst, you need strong analytical skills, attention to detail, and a solid understanding of data structures, often supported by a degree in computer science, information systems, or a related field. Familiarity with data integration tools, ETL (Extract, Transform, Load) platforms, SQL, and sometimes certifications like Certified Data Management Professional (CDMP) are highly valuable. Excellent problem-solving abilities, communication skills, and the capacity to work collaboratively make candidates stand out. These skills are critical for accurately translating data between systems, ensuring data quality, and facilitating successful cross-functional projects.

What are the typical daily responsibilities of a data mapping analyst?

A Data Mapping Analyst typically spends their day analyzing source and target data systems, designing data mapping documents, and configuring or testing data transformations. They often collaborate closely with data engineers, business analysts, and project managers to ensure that data flows smoothly and accurately between different platforms. Additionally, they may review data quality, troubleshoot issues, and document mapping logic and processes for ongoing or future projects. This role requires both technical and communication skills to bridge gaps between business requirements and IT solutions.

What are the most commonly searched types of Data Mapping Analyst jobs in Florida? The most popular types of Data Mapping Analyst jobs in Florida are:
What job categories do people searching Data Mapping Analyst jobs in Florida look for? The top searched job categories for Data Mapping Analyst jobs in Florida are:
Infographic showing various Data Mapping Analyst job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

Financial Data Analyst

Appodeal

Parkland, FL • On-site

Full-time

Re-posted 20 days ago


Job description

Appodeal is a dynamic US-based product company with a truly global presence.
We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world.
Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.
Why Appodeal?
At Appodeal, we're more than just a company-we're a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses!
We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.
Here's what we value, and what we hope you do too:
  • Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers.
  • Making an Impact: We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry.
  • Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world-class professionals and mentors.
  • Enjoying the Journey: We believe in having fun while working toward our goals.

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.

With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team.
Join us and help shape the future of mobile app success!